Alignerr

Developing full-stack web applications, integrating with cloud services, and leading development projects. | Extensive experience in full-stack web development with TypeScript, React, Node.js, and cloud platforms; no Python or AI-specific experience mentioned. | About The Job Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. We work on real production systems and high-impact research workflows across data, tooling, and infrastructure. Position Senior Python Full-Stack Engineer — AI Data & Infrastructure Type: Contract, Remote Commitment: 20–40 hours/week Compensation: Competitive, hourly (based on experience) Role Responsibilities • Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows • Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control • Improve reliability, performance, and safety across existing Python codebases • Collaborate with data, research, and engineering teams to support model training and evaluation workflows • Identify bottlenecks and edge cases in data and system behavior, and implement scalable fixes • Participate in synchronous reviews to iterate on system design and implementation decisions Qualifications Must-Have • Native or fluent English speaker • Full-stack developer experience with a strong systems programming background • 5+ years of professional experience writing production Python backend services. • Mastery of modern web frameworks and strict type enforcement patterns. • Experience architecting robust APIs (REST/GraphQL), designing database schemas, and implementing authentication/authorization flows. • Clear written and verbal communication skills to lead code reviews and system design sessions. • Ability to commit 20–40 hours per week. Preferred • Prior experience with data annotation, data quality, or evaluation systems • Familiarity with AI/ML workflows, model training, or benchmarking pipelines • Experience with distributed systems or developer tooling Application Process • Submit your resume • Complete a short technical screening • Project matching and onboarding

Design and develop full-stack systems supporting AI data workflows, ensuring performance, reliability, and scalability. | Proven full-stack development experience, strong backend skills, and familiarity with AI/ML workflows, with a focus on system performance and observability. | About The Job Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. We work on real production systems and high-impact research workflows across data, tooling, and infrastructure. Position Senior Python Full-Stack Engineer — AI Data & Infrastructure Type: Contract, Remote Commitment: 20–40 hours/week Compensation: Competitive, hourly (based on experience) Role Responsibilities • Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows • Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control • Improve reliability, performance, and safety across existing Python codebases • Collaborate with data, research, and engineering teams to support model training and evaluation workflows • Identify bottlenecks and edge cases in data and system behavior, and implement scalable fixes • Participate in synchronous reviews to iterate on system design and implementation decisions Qualifications Must-Have • Native or fluent English speaker • Full-stack developer experience with a strong systems programming background • 3-5+ years of professional experience writing production Python. • Experience building evaluation harnesses for ML models, integrating with inference frameworks. • Strong background in observability and metrics collection to monitor system reliability and model performance. • Clear written and verbal communication skills. • Ability to commit 20–40 hours per week. Preferred • Prior experience with data annotation, data quality, or evaluation systems • Familiarity with AI/ML workflows, model training, or benchmarking pipelines • Experience with distributed systems or developer tooling Application Process • Submit your resume • Complete a short technical screening • Project matching and onboarding

Translate informal mathematical proofs into formal, machine-verifiable proofs using Lean, analyze proof structures, and collaborate on improving formal verification methods. | A master's degree or higher in Mathematics, Logic, or Computer Science, with hands-on experience in Lean or similar proof systems, and a strong foundation in rigorous proof writing. | • Location: Remote About the job At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models. Write and formalize advanced mathematical proofs in Lean for cutting-edge AI research. Ideal for mathematicians passionate about formal verification and pushing the limits of modern proof assistants. Organization: Alignerr Position: Researcher - Lean 4 & Formal Proof Systems Type: Hourly Contract Compensation: $70–$150 /hour Location: Remote Commitment: 10–40 hours/week Role Overview - We are seeking mathematicians with deep training in rigorous proof construction and hands-on experience with formal proof languages, especially Lean. This role sits at the intersection of mathematics and computer science, focusing on translating human-written mathematical arguments into precise, machine-verifiable formalizations.- You will work on proofs that often lie beyond the current capabilities of automated provers, helping us map the frontier of what formal verification can express, capture, and automate. What You’ll Do: - Translate informal mathematical proofs into Lean (and related proof systems) with an emphasis on clarity, structure, and correctness.- Analyze generic and domain-specific proofs, identifying gaps, hidden assumptions, and formalizable sub-structures.- Construct formalizations that test the limits of existing proof assistants, especially where tools struggle or fail.- Collaborate with researchers to design, refine, and evaluate strategies for improving formal verification pipelines.- Develop highly readable, reproducible proof scripts aligned with mathematical best practices and proof assistant idioms.- Provide guidance on proof decomposition, lemma selection, and structuring techniques for formal models.- Sample Work You Might Do: - Formalize classical proofs and compare machine-verifiable structures against textbook arguments.- Investigate where automated provers break down, and articulate why (complexity, missing lemmas, insufficient libraries, etc.).- Create Lean proofs that reveal deeper patterns or generalizations implicit in the original mathematics. Requirements: - Master’s degree (or higher) in Mathematics, Logic, Theoretical Computer Science, or a closely related field.- Strong foundation in rigorous proof writing and mathematical reasoning across areas such as algebra, analysis, topology, logic, or discrete math.- Hands-on experience with Lean (Lean 3 or Lean 4), Coq, Isabelle/HOL, Agda, or comparable systems, with Lean strongly preferred.- Deep enthusiasm for formal verification, proof assistants, and the future of mechanized mathematics.- Ability to translate informal arguments into clean, structured formal proofs. Preferred • Prior experience with data annotation, data quality, or evaluation systems- Familiarity with type theory, Curry-Howard correspondence, and proof automation tools.- Experience with large-scale formalization projects (e.g., mathlib).- Exposure to theorem provers where automated reasoning frequently fails or requires manual scaffolding.- Strong communication skills for explaining formalization decisions, edge cases, and reasoning strategies. Ideal Candidate - A mathematically mature problem-solver who enjoys working at the frontier of formal verification; someone who finds satisfaction in taking a dense, elegant human argument and expressing it in a form that a machine can understand. You appreciate precision, structural beauty, and the challenge of resolving gaps that automated tools cannot yet bridge. Why Join Us: - Competitive pay and flexible remote work.- Collaborate with a team working on cutting-edge AI projects.- Exposure to advanced LLMs and how they’re trained.- Freelance perks: autonomy, flexibility, and global collaboration.- Potential for contract extension. Application Process (Takes 15-20 min) - Submit your resume- Complete a short screening- Project matching and onboarding PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Analyze attack paths, classify weaknesses, review red-team scenarios, and generate adversarial reasoning data. | 2+ years in pentesting, red team, or strong blue-team role with attack knowledge, and understanding of attack unfolding in production environments. | About The Job At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models. This role focuses on structured adversarial reasoning rather than exploit development. You will work with realistic attack scenarios to model how threats move through systems, where defenses fail, and how risk propagates across modern environments. Organization: Alignerr Position: Offensive Security Analyst (Structured / Non-Exploit) Type: Contract / Task-Based Compensation: $40–$60 /hour Location: Remote Commitment: 10–40 hours/week What You’ll Do • Analyze attack paths, kill chains, and adversary strategies across real-world systems • Classify weaknesses, misconfigurations, and defensive gaps • Review red-team style scenarios and intrusion narratives • Help generate, label, and validate adversarial reasoning data used to train and evaluate AI systems What We’re Looking For • 2+ years in pentesting, red team, or a strong blue-team role with hands-on attack knowledge • Understand how real attacks unfold in production environments • Ability to clearly explain attack chains, impact, and tradeoffs Why Join Us • Competitive pay and flexible remote work. • Work directly on frontier AI systems. • Freelance perks: autonomy, flexibility, and global collaboration. • Potential for contract extension. Application Process (Takes 10–15 min) • Submit your resume • Complete a short screening • Project matching and onboarding PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Reviewing complex content for accuracy, making nuanced wording decisions, and providing structured feedback. | Advanced English writing and editing experience, Master's degree or higher in relevant discipline, ability to work independently on complex tasks. | English Writing Generalist - Advanced About The Role This advanced role is for experienced writers and editors handling complex or ambiguous content. Organization: Alignerr (Powered by Labelbox) Type: Hourly Contract / Task-Based Compensation: $30–$40 /hour Location: Remote Commitment: 10–40 hours/week What You’ll Do • Make nuanced decisions around wording, tone, and structure • Review complex content for accuracy and consistency • Provide structured feedback and rationale for edits • Maintain high standards across large-scale writing tasks Who You Are • Based in the United States • Master's Degree or better in English, Humanities, Journalism or a related discipline • Advanced English writing and editing experience • Exceptional attention to detail and judgment • Able to work independently on complex tasks Application Process (Takes 15-20 min) • Submit your resume • Complete a short screening • Project matching and onboarding PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Assess AI-generated marketing content for clarity, accuracy, and strategic relevance, providing structured feedback to improve training datasets. | At least 3 years of teaching marketing at the postsecondary level, strong understanding of marketing strategy and consumer behavior, and ability to evaluate written business reasoning. | Marketing Instructor (AI Training) About The Role We’re looking for marketing instructors to help assess AI-generated content related to branding, consumer behavior, and marketing strategy. • Organization: Alignerr (Powered by Labelbox) • Location: Remote • Type: Hourly / Task-based Contract • Compensation: $35-70 /hour • Commitment: 10-40 hours/week What You’ll Do • Review marketing questions, scenarios, and explanations used in AI training. • Evaluate reasoning around positioning, messaging, and go-to-market strategy. • Provide structured feedback to improve clarity and real-world relevance. • Apply teaching experience to identify common misconceptions. • Work independently and asynchronously to meet project deadlines. Who You Are • 3+ years of experience teaching marketing at the postsecondary level. • Strong understanding of marketing strategy and consumer behavior. • Able to assess written business reasoning and strategic recommendations. • Comfortable providing clear, structured feedback. Nice to Have • Master’s degree in Marketing or Business. • Industry experience in marketing or growth roles. • Familiarity with AI or content evaluation workflows. Why Join Us • Competitive pay and flexible remote work. • Lead a team working on cutting-edge AI projects. • Exposure to advanced LLMs and how they’re trained. • Freelance perks: autonomy, flexibility, and global collaboration. • Potential for contract extension. Application Process (Takes 10-15 min) • Submit your resume • Complete a short screening • Project matching and onboarding PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Design and develop high-performance systems and tooling for AI data pipelines and evaluation workflows. | 5+ years of professional experience in C#, full-stack development, and data modeling, with strong communication skills. | About The Job Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. We work on real production systems and high-impact research workflows across data, tooling, and infrastructure. Position Senior C# Full-Stack Engineer — AI Data & Infrastructure Type: Contract, Remote Commitment: 20–40 hours/week Compensation: Competitive, hourly (based on experience) Role Responsibilities • Design, build, and optimize high-performance systems in C# supporting AI data pipelines and evaluation workflows • Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control • Improve reliability, performance, and safety across existing C# codebases • Collaborate with data, research, and engineering teams to support model training and evaluation workflows • Identify bottlenecks and edge cases in data and system behavior, and implement scalable fixes • Participate in synchronous reviews to iterate on system design and implementation decisions Qualifications Must-Have • Native or fluent English speaker • Full-stack developer experience with a strong systems programming background • 5+ years of professional experience writing production C#. • Strong skills in data modeling and database access using ORM frameworks or micro-ORMs for high-performance SQL interactions. • Experience building secure, documented endpoints for data access and manipulation. • Clear written and verbal communication skills. • Ability to commit 20–40 hours per week. Preferred • Prior experience with data annotation, data quality, or evaluation systems • Familiarity with AI/ML workflows, model training, or benchmarking pipelines • Experience with distributed systems or developer tooling Application Process • Submit your resume • Complete a short technical screening • Project matching and onboarding

Design and optimize high-performance Rust systems for AI data pipelines and evaluation workflows. | Requires 5+ years of Rust experience, systems programming skills, and backend/data pipeline development experience. | About The Job Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. We work on real production systems and high-impact research workflows across data, tooling, and infrastructure. Position Senior Rust Engineer — AI Data & Infrastructure Type: Contract Commitment: 20–40 hours/week Compensation: Competitive, hourly (based on experience) Role Responsibilities - Design, build, and optimize high-performance systems in Rust supporting AI data pipelines and evaluation workflows- Develop tooling and backend services for large-scale data annotation, validation, and quality control- Improve reliability, performance, and safety across existing Rust codebases- Collaborate with data, research, and engineering teams to support model training and evaluation workflows- Identify bottlenecks and edge cases in data and system behavior, and implement scalable fixes- Participate in synchronous reviews to iterate on system design and implementation decisions Qualifications Must-Have • 5+ years of professional experience writing production Rust- Strong systems programming background (performance, concurrency, memory safety)- Experience building backend services, tooling, or data pipelines- Clear written and verbal communication skills- Ability to commit 20–40 hours per week Preferred • Prior experience with data annotation, data quality, or evaluation systems- Familiarity with AI/ML workflows, model training, or benchmarking pipelines- Experience with distributed systems or developer tooling Application Process - Submit your resume- Complete a short technical screening- Project matching and onboarding

Review and evaluate AI-generated content for clarity, organization, and effectiveness, providing constructive feedback to improve AI outputs. | Experience in professional, academic, or technical writing, with strong command of English grammar, style, and tone, and ability to evaluate and improve written content. | Generalist Writer - English (Contract) Labelbox • Remote (United States preferred) Shape the data that powers frontier AI Quick facts • Engagement - Hourly, at‑will contractor • Schedule - Fully remote & asynchronous (min. 15 hrs/week) • Pay Range (US) - \$25 – \$100 per hour • Start Date - Rolling — staffed as projects launch What You’ll Do • Educate AI: Review AI-generated written content across multiple genres and formats, providing feedback on clarity, organization, and effectiveness of communication • Problem Solving: Use your expertise to help AI reason through writing challenges, including argumentation, structure, tone, and audience engagement in diverse disciplines • Red Teaming: Identify biases, inaccuracies, or unclear passages in AI-generated outputs, and develop tests to ensure the AI produces high-quality, accurate, and well-communicated written work You’re a great fit if • Enrolled in or have completed a Bachelor's degree or higher from an accredited institution • Experience in professional, academic, or technical writing, editing, or related fields (required) • Strong ability to communicate ideas clearly, effectively, and with attention to detail across a variety of formats and subjects • Excellent command of English grammar, style, and tone, with a keen eye for accuracy and coherence • Comfortable providing constructive feedback and evaluating writing for clarity, organization, and impact • Bonus: Experience with data labeling, RLHF, or other AI training projects About The Role • Flexible workload — work from anywhere, on your own schedule • High impact — your craft directly improves models used by top AI labs & Fortune 500 teams • Clear ownership — know exactly what success looks like and have autonomy to deliver • Growth potential — consistent high performers spearhead new programs and mentor incoming SMEs Interview process • Complete a screening with Zara, our AI interviewer in English, to learn more about your background and experience. About Labelbox Labelbox builds the data engine that accelerates breakthrough AI. Our platform, expert services, and marketplace let teams iterate on data as nimbly as they iterate on code, enabling safer, smarter models in production. We’re backed by SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins, and trusted by leading research labs and enterprises worldwide. Ready to Apply? Click “Apply” above! We review candidates on a rolling basis and will contact you if your background matches an active project.

Developing web applications and enhancing user interfaces. | Requires front-end skills, basic web development, and project experience, but lacks the Python backend, AI, and systems programming expertise needed for this role. | About The Job Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. We work on real production systems and high-impact research workflows across data, tooling, and infrastructure. Position Senior Python Full-Stack Engineer — AI Data & Infrastructure Type: Contract, Remote Commitment: 20–40 hours/week Compensation: Competitive, hourly (based on experience) Role Responsibilities • Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows • Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control • Improve reliability, performance, and safety across existing Python codebases • Collaborate with data, research, and engineering teams to support model training and evaluation workflows • Identify bottlenecks and edge cases in data and system behavior, and implement scalable fixes • Participate in synchronous reviews to iterate on system design and implementation decisions Qualifications Must-Have • Native or fluent English speaker • Full-stack developer experience with a strong systems programming background • 5+ years of professional experience writing production Python • Strong background in performance optimization and concurrency (e.g., asyncio, multiprocessing, threading) and type safety (e.g., Pydantic, mypy) • Experience building robust backend services (using frameworks like FastAPI or Django) or scalable data pipelines • Clear written and verbal communication skills • Ability to commit 20–40 hours per week Preferred • Prior experience with data annotation, data quality, or evaluation systems • Familiarity with AI/ML workflows, model training, or benchmarking pipelines • Experience with distributed systems or developer tooling Application Process • Submit your resume • Complete a short technical screening • Project matching and onboarding

Evaluate AI-generated JavaScript code, solve UI/UX challenges, and optimize frontend logic. | Requires 3-5 years of experience with modern frameworks like React or Node.js, deep JavaScript knowledge, and experience with AI training projects. | Note: The job is a remote job and is open to candidates in USA. Alignerr partners with leading AI research teams to build and train advanced AI models. They are seeking a Frontend JavaScript Developer to evaluate AI-generated code, solve UI/UX challenges, and optimize frontend logic. Responsibilities • Evaluate AI-generated JavaScript code for DOM manipulation efficiency and ES6+ standards • Solve complex UI/UX challenges to test the model's ability to create responsive and interactive elements • Create human-readable documentation explaining the flow of state and event handling in scripts • Identify bugs or anti-patterns in AI-generated frontend logic and provide optimized alternatives Skills • Bachelor's degree or higher in Computer Science or a related technical field preferred • Deep familiarity with core JavaScript concepts (async/await, closures, DOM manipulation) • 3-5 years of experience with modern frameworks like React, Node.js, or Vue • Experience with data labeling, RLHF, or other AI training projects Company Overview • We're looking for experts to help train better AI. It was founded in undefined, and is headquartered in , with a workforce of 11-50 employees. Its website is https://www.alignerr.com/.

Review and evaluate AI-generated policy analysis and economics content to improve clarity, rigor, and relevance. | Requires 3+ years of experience in public or applied economics, with a relevant graduate degree and familiarity with policy analysis and AI workflows. | About The Role We’re seeking economists with public policy experience to help assess and improve AI-generated policy analysis and applied economics content. • Organization: Alignerr (Powered by Labelbox) • Location: Remote • Type: Hourly / Task-based Contract • Compensation: $35-70 /hour • Commitment: 10-40 hours/week What You’ll Do • Review policy-focused economics questions and explanations used in AI training. • Evaluate economic reasoning related to regulation, welfare, and public programs. • Provide structured feedback to improve clarity, rigor, and real-world relevance. • Apply applied economics experience to validate scenarios and conclusions. • Work independently and asynchronously to meet project deadlines. Who You Are • 3+ years of experience teaching or working in public or applied economics. • Strong understanding of policy analysis and economic tradeoffs. • Able to assess written economic arguments and recommendations. • Comfortable providing detailed written feedback. Nice to Have • Graduate degree in Economics or Public Policy. • Experience in government, think tanks, or policy research. • Familiarity with AI or content evaluation workflows. Why Join Us • Competitive pay and flexible remote work. • Lead a team working on cutting-edge AI projects. • Exposure to advanced LLMs and how they’re trained. • Freelance perks: autonomy, flexibility, and global collaboration. • Potential for contract extension. Application Process (Takes 10-15 min) • Submit your resume • Complete a short screening • Project matching and onboarding PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Design, automate, and optimize cloud-based AI development infrastructure, ensuring performance, reliability, and security. | Deep experience in DevOps, IaC, cloud platforms, networking, and security, with strong communication skills. | DevOps/IaC Engineer (Contract) Labelbox • Remote (United States preferred) Shape the data that powers frontier AI Quick facts • Engagement - Hourly, at‑will contractor • Schedule - Fully remote & asynchronous (min. 15 hrs/week) • Pay Range (US) - \$25 – \$100 per hour • Start Date - Rolling — staffed as projects launch What You’ll Do • Design and maintain cloud-based infrastructure (AWS, GCP, or Azure) for AI development pipelines. • Automate infrastructure using tools like Terraform, Ansible, or similar. -Monitor and improve system performance, reliability, and scalability. -Identify and resolve infrastructure bottlenecks or deployment issues. -Summarize your troubleshooting, design, and optimization decisions clearly and concisely. You’re a great fit if • Fluent in English with strong writing and communication skills. • Expertise in DevOps and Infrastructure as Code (IaC): containers (Docker), orchestration (Kubernetes), CI/CD (GitHub Actions, CircleCI, etc.). • 3–5 years of experience in DevOps, cloud infrastructure, or SRE roles is a plus. • Bachelor’s degree (or pursuing one) in Computer Science, Engineering, or related field. Master's or PhD preferred. • Deep interest in AI/ML infrastructure, cloud computing, or secure system design. • 4+ years of professional experience in DevOps, SRE, or infrastructure roles with a focus on IaC • Deep hands-on experience with Terraform (preferred), Pulumi, or AWS CloudFormation • Proficiency with at least one major cloud provider (AWS preferred; Azure or GCP acceptable) • Strong understanding of networking, IAM, VPCs, security groups, and resource policies • Comfortable writing modular, DRY IaC, and using state management practices responsibly About The Role • Flexible workload — work from anywhere, on your own schedule • High impact — your craft directly improves models used by top AI labs & Fortune 500 teams • Clear ownership — know exactly what success looks like and have autonomy to deliver • Growth potential — consistent high performers spearhead new programs and mentor incoming SMEs Interview process • Complete a screening with Zara, our AI interviewer in English, to learn more about your background and experience. • Domain-specific Zara interview to assess your DevOps expertise, including Infrastructure as Code, CI/CD pipelines, and VMs. About Labelbox Labelbox builds the data engine that accelerates breakthrough AI. Our platform, expert services, and marketplace let teams iterate on data as nimbly as they iterate on code, enabling safer, smarter models in production. We’re backed by SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins, and trusted by leading research labs and enterprises worldwide. Ready to Apply? Click “Apply” above, and take one or more domain specific assessments. We review candidates on a rolling basis and will contact you if your background matches an active project.

Review and improve existing content for grammar, tone, and clarity, ensuring consistency and readability. | Bachelor's degree in English, Humanities, Journalism, or related field, with strong proofreading and editing skills. | English Writing Generalist - Quality Review About The Role This role emphasizes reviewing and improving existing content with a strong quality-control mindset. Organization: Alignerr (Powered by Labelbox) Type: Hourly Contract / Task-Based Compensation: $30–$40 /hour Location: Remote Commitment: 10–40 hours/week What You’ll Do • Review content for subtle grammar, tone, and clarity issues • Improve readability without changing original meaning • Flag inconsistencies and unclear language • Apply editorial judgment consistently Who You Are • Based in the United States • Bachelor's Degree or better in English, Humanities, Journalism or a related discipline • Strong proofreading and editing instincts • Excellent attention to linguistic detail • Comfortable evaluating large volumes of content Application Process (Takes 15-20 min) • Submit your resume • Complete a short screening • Project matching and onboarding PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Analyzing and improving operational workflows and data reporting processes. | Strong analytical skills and experience in process improvement, with no direct experience in algorithmic trading or market microstructure. | Role Overview The Algorithmic Trading Strategist evaluates trading logic, market-microstructure reasoning, and execution strategies used in algorithmic systems. This role focuses on interpreting algorithmic behavior, assessing decision quality, and identifying edge cases or market conditions that impact strategy performance. What You’ll Do • Review algorithmic trading logic and execution paths • Analyze order types, routing behavior, and market microstructure assumptions • Identify risks, inefficiencies, and performance bottlenecks • Summarize strategy performance across scenarios and time horizons • Validate alignment with realistic trading constraints and liquidity conditions • Provide structured evaluations for recurring strategy-review cycles Must-Have What You Bring • Experience in systematic or algorithmic trading • Strong understanding of order types, execution timing, and slippage • Ability to analyze multi-step trading logic and convey insights clearly Nice-to-Have • Familiarity with backtesting frameworks or execution-simulation tools $40 - $80 an hour