Mindrift

Create functional black box tests for large codebases and manage Docker environments to ensure reproducible builds and test execution. | 5+ years as a Software Engineer with deep expertise in Python, pytest, Docker, Linux/Bash scripting, and ability to read code in multiple languages. | Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. About the Role This project is suited for a Senior Python developer with deep functional testing experience, strong Linux and Docker skills, the ability to read code across multiple languages with the support of LLMs (e.g., C, Rust, Go) and translate requirements for migration tasks, and confidence using tools like Roo Code or Claude Code to accelerate iterative development. Key Responsibilities Create functional black box tests for large codebases in various source languages Create and manage Docker environments to ensure 100% reproducible builds and test execution across different platforms Monitor code coverage and configure automated scoring criteria to meet industry benchmark-level standards Leverage LLMs (Roo Code, Claude) to accelerate development cycles, automate repetitive tasks, and improve overall code quality 5+ years of experience as a Software Engineer (primarily Python) Deep experience with pytest (fixtures, session-scoped, timeouts) and designing black-box functional tests for CLI tools Expert-level Docker skills (reproducible Dockerfiles, user contexts, secure workspaces) Strong Linux & Bash scripting skills and comfort debugging inside containers Proficiency with modern Python tooling (uv, pyproject.toml, packaging) Ability to read and understand with LLM many coding languages (for example C, C++, Rust, or Go) Experience using LLMs (Claude Code, Roo Code, Cursor) to accelerate iterative development and test-case generation English language - B2 or higher Requirements + Prior experience with agent evaluation platforms and MCP CLI Tools and Technologies: Python (pytest, uv, Pillow), Docker, Bash, Git Submodules, C/C++/Rust/Go (reading), Dagger, GitHub Codespaces, LLMs (Claude Code, Roo Code, Cursor), coverage.py, gcov, kcov. What we can offer Freelance project-based collaboration via the Mindrift platform (powered by Toloka AI) Fully remote and flexible participation — choose when and how much to contribute (20-30 hours per week) Task-based compensation, equivalent to up to $80/hour* depending on performance and volume Opportunity to contribute to innovative AI projects for leading tech companies Supportive global community *Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.

Create functional black box tests for large codebases, manage Docker environments, monitor code coverage, and leverage LLMs to improve development. | 5+ years Python experience with pytest, expert Docker skills, strong Linux/Bash scripting, and ability to read C, Rust, or Go code using LLMs. | Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. About the Role This project is suited for a Senior Python developer with deep functional testing experience, strong Linux and Docker skills, the ability to read code across multiple languages with the support of LLMs (e.g., C, Rust, Go) and translate requirements for migration tasks, and confidence using tools like Roo Code or Claude Code to accelerate iterative development. Key Responsibilities Create functional black box tests for large codebases in various source languages Create and manage Docker environments to ensure 100% reproducible builds and test execution across different platforms Monitor code coverage and configure automated scoring criteria to meet industry benchmark-level standards Leverage LLMs (Roo Code, Claude) to accelerate development cycles, automate repetitive tasks, and improve overall code quality 5+ years of experience as a Software Engineer (primarily Python) Deep experience with pytest (fixtures, session-scoped, timeouts) and designing black-box functional tests for CLI tools Expert-level Docker skills (reproducible Dockerfiles, user contexts, secure workspaces) Strong Linux & Bash scripting skills and comfort debugging inside containers Proficiency with modern Python tooling (uv, pyproject.toml, packaging) Ability to read and understand with LLM many coding languages (for example C, C++, Rust, or Go) Experience using LLMs (Claude Code, Roo Code, Cursor) to accelerate iterative development and test-case generation English language - B2 or higher Requirements + Prior experience with agent evaluation platforms and MCP CLI Tools and Technologies: Python (pytest, uv, Pillow), Docker, Bash, Git Submodules, C/C++/Rust/Go (reading), Dagger, GitHub Codespaces, LLMs (Claude Code, Roo Code, Cursor), coverage.py, gcov, kcov. What we can offer Freelance project-based collaboration via the Mindrift platform (powered by Toloka AI) Fully remote and flexible participation — choose when and how much to contribute (20-30 hours per week) Task-based compensation, equivalent to up to $80/hour* depending on performance and volume Opportunity to contribute to innovative AI projects for leading tech companies Supportive global community *Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.

Design electrical engineering problems, evaluate AI solutions, validate simulations with Python, and improve AI reasoning. | Electrical engineer with 3+ years experience, strong Python numerical validation skills, bachelor's degree, and strong English proficiency. | Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation isproject-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: Design rigorous electrical engineering problems reflecting professional practice. Evaluate AI solutions for correctness, assumptions, and constraints. Validate calculations or simulations using Python (NumPy, Pandas, SciPy). Improve AI reasoning to align with industry-standard logic. Apply structured scoring criteria to multi-step problems. What we look for This opportunity is a good fit for electrical engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: Degree in Electrical Engineering or related fields, e.g. Electronics, Microelectronics, Embedded Systems, Power Systems, etc. 3+ years of professional electrical engineering experience Strong written English (C1/C2) • Strong Python proficiency for numerical validation Stable internet connection Professional certifications (e.g., PE, CEng, EUR ING, RPEQ) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Payment Paid contributions, with rates up to $55/hour* Fixed project rate or individual rates, depending on the project Some projects include incentive payments *Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.

Evaluate and improve AI systems through electrical engineering problem design and Python-based validation. | 3+ years electrical engineering experience, strong Python skills, and strong English proficiency. | Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation isproject-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: • Design rigorous electrical engineering problems reflecting professional practice. • Evaluate AI solutions for correctness, assumptions, and constraints. • Validate calculations or simulations using Python (NumPy, Pandas, SciPy). • Improve AI reasoning to align with industry-standard logic. • Apply structured scoring criteria to multi-step problems. What we look for This opportunity is a good fit for electrical engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: • Degree in Electrical Engineering or related fields, e.g. Electronics, Microelectronics, Embedded Systems, Power Systems, etc. • 3+ years of professional electrical engineering experience • Strong written English (C1/C2) • Strong Python proficiency for numerical validation • Stable internet connection Professional certifications (e.g., PE, CEng, EUR ING, RPEQ) and experience in international or applied projects are an advantage. How it works Apply Pass qualification(s) Join a project Complete tasks Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Payment • Paid contributions, with rates up to $55/hour* • Fixed project rate or individual rates, depending on the project • Some projects include incentive payments • Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.

Create functional black box tests for large codebases and manage Docker environments to ensure reproducible builds and test execution. | 5+ years as Senior Python Engineer with expertise in pytest, black-box testing, Docker, Linux, Bash scripting, and ability to read code in C, Rust, or Go using LLMs. | Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. About the Role This project is suited for a Senior Python developer with deep functional testing experience, strong Linux and Docker skills, the ability to read code across multiple languages with the support of LLMs (e.g., C, Rust, Go) and translate requirements for migration tasks, and confidence using tools like Roo Code or Claude Code to accelerate iterative development. Key Responsibilities Create functional black box tests for large codebases in various source languages Create and manage Docker environments to ensure 100% reproducible builds and test execution across different platforms Monitor code coverage and configure automated scoring criteria to meet industry benchmark-level standards Leverage LLMs (Roo Code, Claude) to accelerate development cycles, automate repetitive tasks, and improve overall code quality 5+ years of experience as a Software Engineer (primarily Python) Deep experience with pytest (fixtures, session-scoped, timeouts) and designing black-box functional tests for CLI tools Expert-level Docker skills (reproducible Dockerfiles, user contexts, secure workspaces) Strong Linux & Bash scripting skills and comfort debugging inside containers Proficiency with modern Python tooling (uv, pyproject.toml, packaging) Ability to read and understand with LLM many coding languages (for example C, C++, Rust, or Go) Experience using LLMs (Claude Code, Roo Code, Cursor) to accelerate iterative development and test-case generation English language - B2 or higher Requirements + Prior experience with agent evaluation platforms and MCP CLI Tools and Technologies: Python (pytest, uv, Pillow), Docker, Bash, Git Submodules, C/C++/Rust/Go (reading), Dagger, GitHub Codespaces, LLMs (Claude Code, Roo Code, Cursor), coverage.py, gcov, kcov. What we can offer Freelance project-based collaboration via the Mindrift platform (powered by Toloka AI) Fully remote and flexible participation — choose when and how much to contribute (20-30 hours per week) Task-based compensation, equivalent to up to $80/hour* depending on performance and volume Opportunity to contribute to innovative AI projects for leading tech companies Supportive global community *Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.

Lead patching and endpoint management using Kaseya and automation tools. | Extensive MBB consulting experience with strong structured problem-solving skills and familiarity with consulting deliverables. | We are building the next generation of AI agents capable of navigating the complex consulting tasks. To achieve this, we are looking for consultants with 5+ years of experience at McKinsey & Company, Boston Consulting Group, or Bain & Company. The role is not client-facing and does not involve stakeholder management. Instead, the consultant will use their direct experience from real consulting projects to: • Recreate realistic consulting project environments • Design structured problem-solving tasks • Define what high-quality outputs should look like • Evaluate AI-generated outputs against consulting standards Why an MBB Background Matters Practical knowledge of how consulting projects actually work in detail is required. Specifically: • How ambiguous client questions are translated into structured workplans • How hypotheses are formed and tested • How data gaps are handled in real projects • What "good" looks like in slide decks, models, and executive summaries • How trade-offs and recommendations are developed under uncertainty The AI must be trained on environments that reflect real consulting complexity. Only someone who has worked on multiple MBB projects can reliably recreate this level of realism. While we value all analytical backgrounds, this role specifically requires first-hand MBB project experience. What You'll Do Design realistic consulting environments • Create detailed project scenarios (industry context, financials, constraints, incomplete information) • Develop structured tasks such as market sizing, due diligence, cost reduction, growth strategy, or operational diagnosis Define what "good" looks like • Set clear evaluation criteria for high-quality consulting outputs • Distinguish between superficial answers and consulting-grade reasoning Evaluate AI outputs • Review analyses and identify logical errors, weak assumptions, and structural gaps • Provide precise, actionable feedback to improve system performance Continuously improve training quality • Refine scenarios, edge cases, and evaluation frameworks • Increase realism based on real project experience Skills & Requirements • 5+ years at McKinsey, BCG, or Bain • Strong structured problem-solving skills • Ability to translate vague problems into clear analytical steps • High attention to logical consistency • Independent working style Basic technical familiarity required: • Reading structured formats (e.g., JSON or YAML) • Basic Git/GitHub usage • Clear written English (B2+) What This Role Is Not • No client interaction • No stakeholder management • No sales or business development • No team leadership responsibilities This is a focused analytical role for consultants who want to apply their problem-solving skills to advanced AI systems.

Providing technical support and troubleshooting complex enterprise IT issues across multiple platforms. | Experience in technical support and troubleshooting across storage, networking, and multi-platform environments, but no software engineering or Python testing experience. | Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. About the Role This project is suited for a Senior Python developer with deep functional testing experience, strong Linux and Docker skills, the ability to read code across multiple languages with the support of LLMs (e.g., C, Rust, Go) and translate requirements for migration tasks, and confidence using tools like Roo Code or Claude Code to accelerate iterative development. Key Responsibilities Create functional black box tests for large codebases in various source languages Create and manage Docker environments to ensure 100% reproducible builds and test execution across different platforms Monitor code coverage and configure automated scoring criteria to meet industry benchmark-level standards Leverage LLMs (Roo Code, Claude) to accelerate development cycles, automate repetitive tasks, and improve overall code quality 5+ years of experience as a Software Engineer (primarily Python) Deep experience with pytest (fixtures, session-scoped, timeouts) and designing black-box functional tests for CLI tools Expert-level Docker skills (reproducible Dockerfiles, user contexts, secure workspaces) Strong Linux & Bash scripting skills and comfort debugging inside containers Proficiency with modern Python tooling (uv, pyproject.toml, packaging) Ability to read and understand with LLM many coding languages (for example C, C++, Rust, or Go) Experience using LLMs (Claude Code, Roo Code, Cursor) to accelerate iterative development and test-case generation English language - B2 or higher Requirements + Prior experience with agent evaluation platforms and MCP CLI Tools and Technologies: Python (pytest, uv, Pillow), Docker, Bash, Git Submodules, C/C++/Rust/Go (reading), Dagger, GitHub Codespaces, LLMs (Claude Code, Roo Code, Cursor), coverage.py, gcov, kcov. What we can offer Freelance project-based collaboration via the Mindrift platform (powered by Toloka AI) Fully remote and flexible participation — choose when and how much to contribute (20-30 hours per week) Task-based compensation, equivalent to up to $80/hour* depending on performance and volume Opportunity to contribute to innovative AI projects for leading tech companies Supportive global community *Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.

Provide legal expertise by generating and evaluating AI prompts and solutions in US law contexts on a project basis. | You need a US law degree, 2+ years of US legal practice, strong written English, and stable internet for part-time project work. | Description Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: • Generate prompts that challenge AI; • Evaluate AI-generated solutions for correctness, assumptions, and logic; • Improve AI reasoning to align with first principles and accepted standards; • Apply structured scoring criteria to assess multi-step problem solving. What we look for This opportunity is a good fit for legal consultants, attorneys with an experience in US law open to part-time, non-permanent projects. Ideally, contributors will have: • Degree in law (Bachelor, J.D., LLM, FLLM) within the US context • 2+ years of legal practice experience within US jurisdiction • Strong written English (C1/C2) • Stable internet connection How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Payment • Paid contributions, with rates up to $60/hour* • Fixed project rate or individual rates, depending on the project • Some projects include incentive payments *Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.

Create and refine challenging coding test cases to evaluate AI coding systems' capabilities. | 5+ years software development primarily in Python, full-stack development with React, test writing experience, Docker, CI/CD knowledge, and English proficiency. | Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation isproject-based, not permanent employment. What This Opportunity Involves You'll create challenging coding test cases that push AI coding systems to their limits: • Review and refine realistic coding tasks based on provided production codebases with realistic scope, requirements and information sources • Write comprehensive functional tests that validate actual end-to-end behavior and edge-cases, not just superficial checks • Craft "fair but hard" challenges where the AI has all the context it needs, but has to work for it (information scattered across files and external sources, complex reasoning required) • Analyze AI failures to understand what the model struggles with vs. what it masters • Iterate based on feedback from expert QA reviewers who score your work on 7 quality criteria What We Look For This opportunity is a good fit for experienced developers, software engineers, and/or test automation specialists open to part-time, non-permanent projects. Ideally, contributors will have: • Degree in Computer Science, Software Engineering or related fields • 5+ years in software development, primarily Python (pytest, async/await, subprocess, file operations) • Background in Full-Stack development, with an equal focus on building React-based interfaces and robust Back-end systems • Experience writing tests (functional, integration - not just running them) • Docker containers (running evaluations locally in containers) • CI/CD understanding (GitHub Actions as a user: triggers, labels, reading results) • English proficiency - B2 How It Works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted. Payment • Paid contributions, with rates up to $80/hour* • Fixed project rate or individual rates, depending on the project • Some projects include incentive payments • Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project

As an AI Tutor in Coding, you will generate prompts that challenge AI and define scoring criteria to evaluate AI responses. You will also correct the model’s responses based on your domain-specific knowledge. | Candidates must hold a Bachelor's or Master’s Degree in Software Development, Computer Science, or related fields, and have at least 3 years of professional experience with Ruby. An advanced level of English (C1) and experience with Git, Linux CLI, Docker, and CI/CD pipelines are also required. | This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency. At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Coding, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain-specific knowledge. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. You hold a Bachelor's or Master’s Degree in Software Development, Computer Science, or other related fields. You have at least 3 years of professional experience with excellent command of Ruby and key ecosystem tools (RSpec, Bundler). Your level of English is advanced (C1) or above. Confident use of Git and standard Linux CLI tools. Hands-on experience with containerization (Docker) and CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins). Deep understanding of testing principles and test-driven development (TDD); strong skills in debugging, profiling, and code optimization. Desirable: Contributions to open-source Ruby projects (pull requests, code reviews, issue tracking). Experience working with large monorepositories or major open-source projects. Experience with automated benchmarking, scripting, or infrastructure-as-code tools. Experience working with AI-generated code or in code evaluation projects Soft Skills: Analytical and detail-oriented mindset: proactively identifies bugs, edge cases, and test coverage gaps. Concise and structured communication, both in documentation and asynchronous team discussions. Strong ownership: able to drive tasks end-to-end, propose improvements, and promptly flag risks or blockers. Adaptability and resilience: thrives in fast-changing requirements and ambiguous project contexts. Team player: open to code reviews, feedback, and knowledge sharing. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $80/hour depending on your skills, experience, and project needs. Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

As an AI Tutor in Coding, you will generate prompts that challenge AI and define scoring criteria to evaluate AI responses. You will also correct the model’s responses based on your domain-specific knowledge. | Candidates must hold a Bachelor's or Master’s Degree in Software Development, Computer Science, or related fields, and have at least 3 years of professional experience with Ruby. An advanced level of English (C1) and experience with Git, Docker, and CI/CD pipelines are also required. | This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency. At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Coding, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain-specific knowledge. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. You hold a Bachelor's or Master’s Degree in Software Development, Computer Science, or other related fields. You have at least 3 years of professional experience with excellent command of Ruby and key ecosystem tools (RSpec, Bundler). Your level of English is advanced (C1) or above. Confident use of Git and standard Linux CLI tools. Hands-on experience with containerization (Docker) and CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins). Deep understanding of testing principles and test-driven development (TDD); strong skills in debugging, profiling, and code optimization. Desirable: Contributions to open-source Ruby projects (pull requests, code reviews, issue tracking). Experience working with large monorepositories or major open-source projects. Experience with automated benchmarking, scripting, or infrastructure-as-code tools. Experience working with AI-generated code or in code evaluation projects Soft Skills: Analytical and detail-oriented mindset: proactively identifies bugs, edge cases, and test coverage gaps. Concise and structured communication, both in documentation and asynchronous team discussions. Strong ownership: able to drive tasks end-to-end, propose improvements, and promptly flag risks or blockers. Adaptability and resilience: thrives in fast-changing requirements and ambiguous project contexts. Team player: open to code reviews, feedback, and knowledge sharing. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $80/hour depending on your skills, experience, and project needs. Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

As an AI Tutor in Coding, you will generate prompts that challenge AI and define scoring criteria to evaluate AI responses. You will also correct the model’s responses based on your domain-specific knowledge. | Candidates must hold a Bachelor's or Master’s Degree in Software Development, Computer Science, or related fields, with at least 3 years of professional experience in Ruby. An advanced level of English (C1) and experience with Git, Docker, and CI/CD pipelines are also required. | This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency. At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Coding, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain-specific knowledge. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. You hold a Bachelor's or Master’s Degree in Software Development, Computer Science, or other related fields. You have at least 3 years of professional experience with excellent command of Ruby and key ecosystem tools (RSpec, Bundler). Your level of English is advanced (C1) or above. Confident use of Git and standard Linux CLI tools. Hands-on experience with containerization (Docker) and CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins). Deep understanding of testing principles and test-driven development (TDD); strong skills in debugging, profiling, and code optimization. Desirable: Contributions to open-source Ruby projects (pull requests, code reviews, issue tracking). Experience working with large monorepositories or major open-source projects. Experience with automated benchmarking, scripting, or infrastructure-as-code tools. Experience working with AI-generated code or in code evaluation projects Soft Skills: Analytical and detail-oriented mindset: proactively identifies bugs, edge cases, and test coverage gaps. Concise and structured communication, both in documentation and asynchronous team discussions. Strong ownership: able to drive tasks end-to-end, propose improvements, and promptly flag risks or blockers. Adaptability and resilience: thrives in fast-changing requirements and ambiguous project contexts. Team player: open to code reviews, feedback, and knowledge sharing. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $80/hour depending on your skills, experience, and project needs. Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

As an AI Tutor in Coding, you will generate prompts that challenge AI and define scoring criteria to evaluate AI responses. You will also correct the model’s responses based on your domain-specific knowledge. | Candidates must hold a Bachelor's or Master’s Degree in Software Development, Computer Science, or related fields, with at least 3 years of professional experience in Ruby. An advanced level of English (C1) and experience with Git, Docker, and CI/CD pipelines are also required. | This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency. At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Coding, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain-specific knowledge. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. You hold a Bachelor's or Master’s Degree in Software Development, Computer Science, or other related fields. You have at least 3 years of professional experience with excellent command of Ruby and key ecosystem tools (RSpec, Bundler). Your level of English is advanced (C1) or above. Confident use of Git and standard Linux CLI tools. Hands-on experience with containerization (Docker) and CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins). Deep understanding of testing principles and test-driven development (TDD); strong skills in debugging, profiling, and code optimization. Desirable: Contributions to open-source Ruby projects (pull requests, code reviews, issue tracking). Experience working with large monorepositories or major open-source projects. Experience with automated benchmarking, scripting, or infrastructure-as-code tools. Experience working with AI-generated code or in code evaluation projects Soft Skills: Analytical and detail-oriented mindset: proactively identifies bugs, edge cases, and test coverage gaps. Concise and structured communication, both in documentation and asynchronous team discussions. Strong ownership: able to drive tasks end-to-end, propose improvements, and promptly flag risks or blockers. Adaptability and resilience: thrives in fast-changing requirements and ambiguous project contexts. Team player: open to code reviews, feedback, and knowledge sharing. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $80/hour depending on your skills, experience, and project needs. Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

As an AI Tutor in Coding, you will generate prompts that challenge AI and define scoring criteria to evaluate AI responses. You will also correct the model’s responses based on your domain-specific knowledge. | Candidates must hold a Bachelor's or Master’s Degree in Software Development, Computer Science, or related fields, and have at least 3 years of professional experience with Ruby. Advanced English proficiency (C1 or above) and experience with Git, Docker, and CI/CD pipelines are also required. | This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency. At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Coding, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain-specific knowledge. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. You hold a Bachelor's or Master’s Degree in Software Development, Computer Science, or other related fields. You have at least 3 years of professional experience with excellent command of Ruby and key ecosystem tools (RSpec, Bundler). Your level of English is advanced (C1) or above. Confident use of Git and standard Linux CLI tools. Hands-on experience with containerization (Docker) and CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins). Deep understanding of testing principles and test-driven development (TDD); strong skills in debugging, profiling, and code optimization. Desirable: Contributions to open-source Ruby projects (pull requests, code reviews, issue tracking). Experience working with large monorepositories or major open-source projects. Experience with automated benchmarking, scripting, or infrastructure-as-code tools. Experience working with AI-generated code or in code evaluation projects Soft Skills: Analytical and detail-oriented mindset: proactively identifies bugs, edge cases, and test coverage gaps. Concise and structured communication, both in documentation and asynchronous team discussions. Strong ownership: able to drive tasks end-to-end, propose improvements, and promptly flag risks or blockers. Adaptability and resilience: thrives in fast-changing requirements and ambiguous project contexts. Team player: open to code reviews, feedback, and knowledge sharing. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $80/hour depending on your skills, experience, and project needs. Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

As an AI Tutor in Coding, you will generate prompts that challenge AI and define scoring criteria to evaluate AI responses. You will also correct the model’s responses based on your domain-specific knowledge. | Candidates must hold a Bachelor's or Master’s Degree in Software Development, Computer Science, or related fields, with at least 3 years of professional experience in Ruby. An advanced level of English (C1) and experience with Git, Linux CLI, Docker, and CI/CD pipelines are also required. | This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency. At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Coding, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain-specific knowledge. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. You hold a Bachelor's or Master’s Degree in Software Development, Computer Science, or other related fields. You have at least 3 years of professional experience with excellent command of Ruby and key ecosystem tools (RSpec, Bundler). Your level of English is advanced (C1) or above. Confident use of Git and standard Linux CLI tools. Hands-on experience with containerization (Docker) and CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins). Deep understanding of testing principles and test-driven development (TDD); strong skills in debugging, profiling, and code optimization. Desirable: Contributions to open-source Ruby projects (pull requests, code reviews, issue tracking). Experience working with large monorepositories or major open-source projects. Experience with automated benchmarking, scripting, or infrastructure-as-code tools. Experience working with AI-generated code or in code evaluation projects Soft Skills: Analytical and detail-oriented mindset: proactively identifies bugs, edge cases, and test coverage gaps. Concise and structured communication, both in documentation and asynchronous team discussions. Strong ownership: able to drive tasks end-to-end, propose improvements, and promptly flag risks or blockers. Adaptability and resilience: thrives in fast-changing requirements and ambiguous project contexts. Team player: open to code reviews, feedback, and knowledge sharing. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $80/hour depending on your skills, experience, and project needs. Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

As an AI Tutor in Coding, you will generate prompts that challenge AI and define scoring criteria to evaluate AI responses. You will also correct the model’s responses based on your domain-specific knowledge. | Candidates must hold a Bachelor's or Master’s Degree in Software Development, Computer Science, or related fields, with at least 3 years of professional experience in Ruby. Advanced English proficiency (C1 or above) and experience with Git, Docker, and CI/CD pipelines are also required. | This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency. At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Coding, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain-specific knowledge. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. You hold a Bachelor's or Master’s Degree in Software Development, Computer Science, or other related fields. You have at least 3 years of professional experience with excellent command of Ruby and key ecosystem tools (RSpec, Bundler). Your level of English is advanced (C1) or above. Confident use of Git and standard Linux CLI tools. Hands-on experience with containerization (Docker) and CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins). Deep understanding of testing principles and test-driven development (TDD); strong skills in debugging, profiling, and code optimization. Desirable: Contributions to open-source Ruby projects (pull requests, code reviews, issue tracking). Experience working with large monorepositories or major open-source projects. Experience with automated benchmarking, scripting, or infrastructure-as-code tools. Experience working with AI-generated code or in code evaluation projects Soft Skills: Analytical and detail-oriented mindset: proactively identifies bugs, edge cases, and test coverage gaps. Concise and structured communication, both in documentation and asynchronous team discussions. Strong ownership: able to drive tasks end-to-end, propose improvements, and promptly flag risks or blockers. Adaptability and resilience: thrives in fast-changing requirements and ambiguous project contexts. Team player: open to code reviews, feedback, and knowledge sharing. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $80/hour depending on your skills, experience, and project needs. Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

Analyze and investigate simulated security alerts and incidents across various environments. Provide expert feedback on AI performance in identifying and classifying cybersecurity threats. | Candidates must hold a Bachelor's or Master's Degree in a relevant field and have at least 3 years of hands-on experience in cybersecurity operations. Proficiency in Microsoft Defender products and strong analytical skills are also required. | This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency. At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Coding, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Analyze and investigate simulated security alerts and incidents across endpoints, identities, and cloud environments. Conduct proactive threat hunting using KQL or similar query languages to identify hidden vulnerabilities and emerging threats that automated systems may miss. Assess the accuracy and depth of AI-generated security incident reports and threat analyses. Review, validate, and improve the model’s understanding of Microsoft Defender products and SOC workflows. Provide expert feedback on AI performance in identifying and classifying cybersecurity threats. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. You hold a Bachelor's or Master’s Degree in Computer Science, Information Security / Cybersecurity, Digital Forensics, Network or Computer Engineering or other related fields. Recognized industry certification (e.g., SC-200, AZ-500, CISSP, CEH, GCIH, CSA, CompTIA Security+) is preferred. You have at least 3 years of hands-on experience in cybersecurity operations, incident response, or threat detection. You have a proven background working in Security Operations Centers (SOC). You are able to investigate, triage, and respond to complex security incidents across endpoints, identities, and cloud environments. You are proficient in Microsoft Defender products (Microsoft Defender for Endpoint, Microsoft Defender for Identity, Microsoft Defender for Cloud Apps) and familiar with Microsoft Sentinel or similar SIEM tools (Splunk, QRadar, Elastic). You have strong analytical and problem-solving skills with experience using KQL (Kusto Query Language) or equivalent log analysis tools for threat detection and investigation. You have prior experience in threat intelligence, vulnerability management, or incident correlation. Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $90/hour depending on your skills, experience, and project needs. Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

Analyze and investigate simulated security alerts and incidents across various environments. Provide expert feedback on AI performance in identifying and classifying cybersecurity threats. | Candidates must hold a Bachelor's or Master's Degree in a relevant field and have at least 3 years of hands-on experience in cybersecurity operations. Proficiency in Microsoft Defender products and strong analytical skills are also required. | This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency. At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Coding, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Analyze and investigate simulated security alerts and incidents across endpoints, identities, and cloud environments. Conduct proactive threat hunting using KQL or similar query languages to identify hidden vulnerabilities and emerging threats that automated systems may miss. Assess the accuracy and depth of AI-generated security incident reports and threat analyses. Review, validate, and improve the model’s understanding of Microsoft Defender products and SOC workflows. Provide expert feedback on AI performance in identifying and classifying cybersecurity threats. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. You hold a Bachelor's or Master’s Degree in Computer Science, Information Security / Cybersecurity, Digital Forensics, Network or Computer Engineering or other related fields. Recognized industry certification (e.g., SC-200, AZ-500, CISSP, CEH, GCIH, CSA, CompTIA Security+) is preferred. You have at least 3 years of hands-on experience in cybersecurity operations, incident response, or threat detection. You have a proven background working in Security Operations Centers (SOC). You are able to investigate, triage, and respond to complex security incidents across endpoints, identities, and cloud environments. You are proficient in Microsoft Defender products (Microsoft Defender for Endpoint, Microsoft Defender for Identity, Microsoft Defender for Cloud Apps) and familiar with Microsoft Sentinel or similar SIEM tools (Splunk, QRadar, Elastic). You have strong analytical and problem-solving skills with experience using KQL (Kusto Query Language) or equivalent log analysis tools for threat detection and investigation. You have prior experience in threat intelligence, vulnerability management, or incident correlation. Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $90/hour depending on your skills, experience, and project needs. Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

Analyze and investigate simulated security alerts and incidents across various environments. Provide expert feedback on AI performance in identifying and classifying cybersecurity threats. | Candidates must hold a Bachelor's or Master's Degree in relevant fields and have at least 3 years of hands-on experience in cybersecurity. Proficiency in Microsoft Defender products and experience with KQL or similar tools are also required. | This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency. At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Coding, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Analyze and investigate simulated security alerts and incidents across endpoints, identities, and cloud environments. Conduct proactive threat hunting using KQL or similar query languages to identify hidden vulnerabilities and emerging threats that automated systems may miss. Assess the accuracy and depth of AI-generated security incident reports and threat analyses. Review, validate, and improve the model’s understanding of Microsoft Defender products and SOC workflows. Provide expert feedback on AI performance in identifying and classifying cybersecurity threats. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. You hold a Bachelor's or Master’s Degree in Computer Science, Information Security / Cybersecurity, Digital Forensics, Network or Computer Engineering or other related fields. Recognized industry certification (e.g., SC-200, AZ-500, CISSP, CEH, GCIH, CSA, CompTIA Security+) is preferred. You have at least 3 years of hands-on experience in cybersecurity operations, incident response, or threat detection. You have a proven background working in Security Operations Centers (SOC). You are able to investigate, triage, and respond to complex security incidents across endpoints, identities, and cloud environments. You are proficient in Microsoft Defender products (Microsoft Defender for Endpoint, Microsoft Defender for Identity, Microsoft Defender for Cloud Apps) and familiar with Microsoft Sentinel or similar SIEM tools (Splunk, QRadar, Elastic). You have strong analytical and problem-solving skills with experience using KQL (Kusto Query Language) or equivalent log analysis tools for threat detection and investigation. You have prior experience in threat intelligence, vulnerability management, or incident correlation. Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $90/hour depending on your skills, experience, and project needs. Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

Analyze and investigate simulated security alerts and incidents across various environments. Provide expert feedback on AI performance in identifying and classifying cybersecurity threats. | Candidates must hold a Bachelor's or Master's Degree in a related field and have at least 3 years of hands-on experience in cybersecurity operations. Proficiency in Microsoft Defender products and strong analytical skills are also required. | This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency. At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Coding, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Analyze and investigate simulated security alerts and incidents across endpoints, identities, and cloud environments. Conduct proactive threat hunting using KQL or similar query languages to identify hidden vulnerabilities and emerging threats that automated systems may miss. Assess the accuracy and depth of AI-generated security incident reports and threat analyses. Review, validate, and improve the model’s understanding of Microsoft Defender products and SOC workflows. Provide expert feedback on AI performance in identifying and classifying cybersecurity threats. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. You hold a Bachelor's or Master’s Degree in Computer Science, Information Security / Cybersecurity, Digital Forensics, Network or Computer Engineering or other related fields. Recognized industry certification (e.g., SC-200, AZ-500, CISSP, CEH, GCIH, CSA, CompTIA Security+) is preferred. You have at least 3 years of hands-on experience in cybersecurity operations, incident response, or threat detection. You have a proven background working in Security Operations Centers (SOC). You are able to investigate, triage, and respond to complex security incidents across endpoints, identities, and cloud environments. You are proficient in Microsoft Defender products (Microsoft Defender for Endpoint, Microsoft Defender for Identity, Microsoft Defender for Cloud Apps) and familiar with Microsoft Sentinel or similar SIEM tools (Splunk, QRadar, Elastic). You have strong analytical and problem-solving skills with experience using KQL (Kusto Query Language) or equivalent log analysis tools for threat detection and investigation. You have prior experience in threat intelligence, vulnerability management, or incident correlation. Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $90/hour depending on your skills, experience, and project needs. Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.