Alignerr

Design and optimize high-performance systems, develop tooling and backend services for AI data workflows, and collaborate on model infrastructure. | 5+ years experience in Go, Rust, Python, or C++, with strong backend engineering skills and experience building production services and data pipelines. | About the role 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 Systems Engineer — AI Data & Infrastructure(Go, Rust, Python, or C++) Type: Contract Commitment: 20–40 hours/week Compensation: Competitive, hourly (based on experience and location) Role Responsibilities - Design, build, and optimize high-performance systems using Go, Rust, Python, or C++ - Develop tooling and backend services for large-scale data annotation, validation, and evaluation workflows - Build and maintain reliable data pipelines supporting AI training and benchmarking - Improve performance, scalability, and safety across existing codebases - Collaborate with data, research, and engineering teams on model-facing infrastructure - Identify bottlenecks, edge cases, and failure modes in data and system behavior - Participate in synchronous reviews to iterate on architecture and implementation decisions Qualifications Must-Have - 5+ years of professional experience in Go, Rust, Python, or C++ - Strong systems or backend engineering background - Experience building production services, tooling, or data pipelines - Ability to reason about performance, reliability, and correctness - Clear written and verbal communication skills - Ability to commit 20–40 hours per week Preferred - Experience with data annotation, data quality, or evaluation systems - Familiarity with AI/ML workflows, model training, or benchmarking pipelines - Experience with distributed systems or high-throughput data processing - Background in developer tooling or internal infrastructure Application Process - Submit your resume - Complete screening and assessment - Project matching and onboarding \n \n $50 - $75 an hour \n

Review and evaluate AI-generated financial reasoning, identify errors, and provide structured corrections. | At least 2 years of finance analysis experience, strong communication skills, high attention to detail, ability to work independently. | Alignerr partners experienced finance professionals with leading AI labs to improve the reasoning and accuracy of next-generation AI systems. As a Financial Analysis Specialist, you’ll apply real-world judgment to review AI-generated financial outputs, evaluate logic quality, and provide clear corrections that help models better understand markets, valuation, risk, and strategic decision-making. You won’t create content from scratch—your role is expert evaluation, context, and insight. Responsibilities Review and assess AI-generated financial reasoning Identify errors, missing context, and flawed assumptions Provide concise, structured corrections and explanations Follow detailed rubrics to ensure consistent, high-quality evaluations Maintain accuracy, objectivity, and attention to detail Requirements 2+ years as a Financial Analyst or similar finance role Strong written communication and ability to explain financial logic High attention to detail; comfort with structured review work Ability to work independently and meet quality standards No prior AI experience needed $40 - $110 an hour We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Design and optimize high-performance systems supporting AI data workflows, develop tooling for data quality, and collaborate on system improvements. | 5+ years of professional Rust experience, systems programming expertise, and experience with backend services or data pipelines. | 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 \n \n $50 - $75 an hour \n

Review and assess AI-generated financial reasoning, identify errors, and provide structured corrections. | At least 2 years as a Financial Analyst or similar role, with strong communication skills and high attention to detail. | Alignerr partners experienced finance professionals with leading AI labs to improve the reasoning and accuracy of next-generation AI systems. As a Financial Analysis Specialist, you’ll apply real-world judgment to review AI-generated financial outputs, evaluate logic quality, and provide clear corrections that help models better understand markets, valuation, risk, and strategic decision-making. You won’t create content from scratch—your role is expert evaluation, context, and insight. Responsibilities Review and assess AI-generated financial reasoning Identify errors, missing context, and flawed assumptions Provide concise, structured corrections and explanations Follow detailed rubrics to ensure consistent, high-quality evaluations Maintain accuracy, objectivity, and attention to detail Requirements 2+ years as a Financial Analyst or similar finance role Strong written communication and ability to explain financial logic High attention to detail; comfort with structured review work Ability to work independently and meet quality standards No prior AI experience needed $40 - $110 an hour

Analyze exploitation chains, evaluate threat-actor TTPs, identify systemic weaknesses, and validate detection logic. | Experience in cybersecurity or threat intelligence, deep understanding of exploit development, and strong documentation skills. | Role Overview The Adversary Exploitation Lead evaluates threat-actor behaviors, exploitation workflows, attack chains, and system vulnerabilities. This role focuses on analyzing adversary tactics, identifying weaknesses, and producing structured assessments of cyber threat activity. What You’ll Do • Analyze exploitation chains, privilege-escalation paths, and attack surfaces • Evaluate threat-actor tactics, techniques, and procedures (TTPs) • Identify systemic weaknesses that enable exploitation • Summarize adversary behaviors and operational patterns • Validate detection logic and defensive assumptions • Support recurring reviews of threat-intelligence datasets and simulation outputs Must-Have What You Bring • Experience in cybersecurity, offensive security, or threat intelligence • Deep understanding of exploit development and adversary tradecraft • Strong analytical writing and structured documentation ability Nice-to-Have • Familiarity with MITRE ATT&CK, red-team methodologies, or malware analysis $40 - $80 an hour

Support trade processing, analyze operational workflows, and identify inconsistencies in trading operations. | Experience in trading or financial operations, strong attention to detail, and ability to follow structured workflows. | About Alignerr Alignerr works with leading AI labs and financial organizations to source specialists who understand trading operations, market mechanics, and structured workflows. Role Overview The Trading Operations Specialist supports tasks related to trade processing, market structure analysis, operational flows, and evaluation of trading-related content. What You’ll Do - Review operational workflows or trading-related datasets - Validate transaction sequences or operational steps - Summarize market or trade-flow mechanics in structured form - Identify operational inconsistencies or errors - Maintain accuracy across recurring evaluation tasks What You Bring Must-Have: - Experience in trading operations, brokerage ops, or financial operations - Strong attention to detail - Ability to follow structured, rule-based workflows Nice-to-Have: - Exposure to market structure or execution systems \n \n $55 - $110 an hour \n

Assess and validate quantitative forecasting models and data inputs, interpret outputs, and summarize findings. | Background in quantitative finance, statistics, or data analysis, with familiarity in Python or R. | About Alignerr Alignerr supplies AI labs with forecasting and modeling specialists who evaluate quantitative signals and structured financial data. Role Overview The Quantitative Finance Forecasting Analyst reviews predictive models, validates quantitative assumptions, and interprets outputs related to market or company-level forecasting. What You’ll Do - Assess quantitative model outputs and data inputs - Validate forecasting assumptions and key drivers - Summarize expected trends or performance scenarios - Identify anomalies or inconsistencies in structured data - Deliver findings in standardized evaluation formats What You Bring Must-Have: - Background in quantitative finance, statistics, or data analysis - Strong reasoning around model logic and assumptions Nice-to-Have: - Familiarity with Python, R, or other modeling tools \n \n $60 - $120 an hour \n

Analyze financial data, validate metrics, and summarize insights. | Requires experience in financial analysis, strong analytical skills, and clear communication. | About Alignerr Alignerr partners with leading AI labs to deliver financial specialists who support structured analysis, financial reviews, and dataset validation. Role Overview The Financial Analyst reviews financial statements, operational metrics, and structured datasets to provide concise summaries and consistent evaluations. What You’ll Do - Analyze company-level financial information - Validate key financial metrics and trends - Summarize insights in concise written form - Cross-reference narrative disclosures with quantitative data - Support recurring evaluation cycles What You Bring Must-Have: - Experience in financial analysis, accounting, or corporate finance - Strong spreadsheet and analytical skills - Clear communication Nice-to-Have: - Understanding of sector-specific performance drivers \n \n $50 - $100 an hour \n

Developing and maintaining full-stack applications with a focus on scalable, secure, and efficient systems. | Extensive experience in full-stack development, API integration, cloud services, and modern JavaScript frameworks; no mention of Rust or systems programming experience. | Alignerr.com is a community of subject matter experts from several disciplines who align AI models by creating high-quality data in their field of expertise to build the future of Generative AI. Alignerr is operated by Labelbox. Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the right degree of human supervision and automation. Whether they are building AI products by using LLMs that require human fine-tuning, or applying AI to reduce the time associated with manually-intensive tasks like data labeling or finding business insights, Labelbox enables teams to do so effectively and quickly. Current Labelbox customers are transforming industries within insurance, retail, manufacturing/robotics, healthcare, and beyond. Our platform is used by Fortune 500 enterprises including Walmart, Procter & Gamble, Genentech, and Adobe, as well as hundreds of leading AI teams. We are backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), Databricks Ventures, Snowpoint Ventures and Kleiner Perkins. About the Role Shape the future of AI — with Rust! As an AI Tutor - Rust, you’ll use your systems programming expertise to improve AI-generated code and ensure it aligns with Rust’s safety and performance goals. Your Day to Day • Review Rust code for memory safety, correctness, and idiomatic style. • Solve complex systems-level problems using Rust and explain your process. • Identify and correct flaws in AI output or unclear logic. • Summarize your approach and decision-making clearly and concisely. About You • Fluent in English with strong writing and communication skills. • Expertise in Rust: Ownership model, lifetimes, borrowing, traits, and concurrency. • 3-5 years of experience in Rust development or systems programming is a plus. • Bachelor’s degree (or pursuing one) in Computer Science or related field. Master’s or PhD preferred. • Deep interest in AI, compilers, or safe system design. Alignerr strives to ensure pay parity across the organization and discuss compensation transparently. The expected hourly rate range for United States-based candidates is below. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location. Pay Range (rate per hour) $15—$150 USD Important Information This is a freelance position compensated on an hourly basis. Please note that this is not an internship opportunity. Candidates must be authorized to work in their country of residence, and we do not offer sponsorship for this 1099 contract role. International students on a valid visa may be eligible to apply; however, specific circumstances should be discussed with a tax or immigration advisor. We are unable to provide employment documentation at this time. Compensation rates may vary for non-US locations.

Interpret macroeconomic data, analyze policy developments, and synthesize trends across global markets. | A background in economics or finance, strong analytical writing skills, and comfort reviewing large structured data. | About Alignerr Alignerr partners with leading AI labs and research-driven teams to deliver high-quality economic and analytical support across global markets. Role Overview We are seeking an Economic Analyst to interpret economic indicators, analyze policy developments, and synthesize trends across global markets. What You’ll Do • Interpret macroeconomic releases and policy updates • Identify economic forces influencing sectors or regions • Summarize reports, commentary, and quantitative trends • Support structured evaluation tasks across economic content • Present insights clearly for downstream workflows What You Bring Must-Have • Academic or professional background in economics or finance • Strong analytical writing • Comfort reviewing large volumes of structured material Nice-to-Have • Experience with country-specific or regional analysis $50 - $100 an hour We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Evaluate scene boundaries, analyze camera angles and shot composition, and maintain high-quality visual annotations. | Background in film, directing, editing, cinematography, or film school; ability to describe scenes visually without dialogue; strong scene analysis and writing skills. | Labelbox • RemoteShape the data that powers frontier AI Quick facts • Engagement - Hourly, at‑will contractor • Schedule - Fully remote & asynchronous (min. 15 hrs/week) • Pay Range (US) - \$30 – \$50 per hour • Start Date - Rolling — staffed as projects launch About Alignerr Alignerr works with AI labs that need high‑quality, human‑created descriptions of film and video. Our teams help models understand not just “what is on screen,” but how a scene is staged, paced, and emotionally framed. Role Overview The Cinematography Analysis & AI Training Specialist will evaluate scene boundaries, camera angles, lighting characteristics, and shot composition using their domain expertise. Real-world experience in cinematography is essential to ensure high-quality annotations. What You’ll Do • Describe camera movement, framing choices, pacing, and blocking • Review film clips and identify precise scene boundaries • Analyze camera angles, movement, and shot composition using cinematography principles • Follow standardized formatting for scene summaries and beat breakdowns • Maintain accuracy and professional judgment across a high volume of visual analyses Must-Have What You Bring • Background in film, directing, editing, cinematography, or film school • Ability to describe scenes visually without referencing dialogue • Strong structured writing and scene-analysis ability • Comfort re-watching clips to ensure accuracy Nice-to-Have • Experience with script coverage, storyboarding, or pre-vis workflows • Understanding of scene structure and storytelling fundamentals Ready to Apply? Click “Apply” above! We review candidates on a rolling basis and will contact you if your background matches an active project. $30 - $50 an hour

Perform remote QA of clinical text and structured EHR data ensuring consistent annotation quality and attention to detail. | Requires careful judgment, attention to detail, and experience working with complex clinical datasets and EHR data in a remote setting. | Remote-first QA of clinical text and structured EHR data, localized to Chicago. This role requires careful judgment, consistent annotation quality, and attention to detail in complex datasets. $30 - $50 an hour We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Design, automate, and maintain cloud infrastructure for AI pipelines using IaC tools and monitor system performance. | 3-5 years DevOps or SRE experience with strong IaC skills, proficiency in cloud platforms, and understanding of networking and security. | 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. $90 - $120 an hour We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Transform social listening data into actionable recommendations, support content teams, and enhance audience targeting. | Experience with social listening data, content support, and audience targeting in a remote environment. | Transform social listening data into recommendations, support content teams, and improve audience targeting in a remote role. $40 - $60 an hour

Reviewing and labeling trading data, analyzing retail investor responses, and interpreting prediction-market signals. | Active market participant with experience in trading platforms or prediction markets, and strong communication skills. | AI Training - Analysis role focused on understanding retail trading flows, crowd sentiment, and prediction-market behavior. You’ll evaluate real-world market events, assess probability signals, and provide structured reasoning grounded in current news, price action, and investor psychology. This work blends forecasting, market awareness, and hands-on judgment to help train AI systems that interpret retail trading patterns and probabilistic thinking. You’ll review and label trading-related data, analyze how retail investors respond to major events, and interpret prediction-market signals across domains like equities, macro, crypto, and global news. Candidates should be active market participants with a strong sense of how independent traders react to risk, catalysts, volatility, and sentiment shifts. Ideal applicants have experience with trading platforms or prediction markets, stay up to date on financial and geopolitical developments, and can communicate their reasoning clearly and consistently. This is a fully remote contract role with flexible hours and high impact on frontier AI research. $40 - $65 an hour

Review and provide feedback on AI-generated written content to improve clarity, organization, and effectiveness. | Enrolled in or completed a Bachelor's degree, with experience in professional, academic, or technical writing or editing. | 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. $20 - $40 an hour We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Assist in training AI models for financial analysis by formulating questions and verifying AI-generated responses. | Basic financial analysis experience, familiarity with data tools, and interest in AI concepts; however, lacks specific technical skills like Python, SQL, or machine learning. | AI Training For Financial Analyst (Freelance, Remote) Alignerr.com is a community of subject matter experts from several disciplines who align AI models by creating high-quality data in their field of expertise to build the future of Generative AI. Alignerr is operated by Labelbox. Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the right degree of human supervision and automation. Whether they are building AI products by using LLMs that require human fine-tuning, or applying AI to reduce the time associated with manually-intensive tasks like data labeling or finding business insights, Labelbox enables teams to do so effectively and quickly. Current Labelbox customers are transforming industries within insurance, retail, manufacturing/robotics, healthcare, and beyond. Our platform is used by Fortune 500 enterprises including Walmart, Procter & Gamble, Genentech, and Adobe, as well as hundreds of leading AI teams. We are backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), Databricks Ventures, Snowpoint Ventures and Kleiner Perkins. About The Role Shape the future of AI in Finance! This innovative role as an AI Tutor - Financial Analyst offers a unique opportunity to leverage your legal expertise and develop your AI skills. You will play a pivotal role in training AI models, ensuring the accuracy and relevance of Finance related content generated by AI. This position allows for flexible scheduling, and your contributions will directly impact the advancement of AI in the Finance field. Your Day To Day • Train AI models through the formulation and response to field-specific questions • Assess and prioritize AI-generated responses based on quality and relevance • Utilize expertise in your domain to verify the accuracy and appropriateness of AI-generated text • You create your own working hours depending on project length About You • Have carried out financial planning, analysis, budgeting, forecasting and decision support. • Experience assisting with evaluation, development, programming, and execution of on-going reconciliations • Experience coordinating development and resolution of identified analytical deficiencies. • Experience supporting in execution of data strategy and reviewing analytic scripts (Python, Databricks, SQL, ACL) • Design and implement technical solutions to improve financial management activities • Interest in AI and machine learning concepts Pay Range (rate per hour) $15 - $150 USD Important Information This is a freelance position compensated on an hourly basis. Please note that this is not an internship opportunity. Candidates must be authorized to work in their country of residence, and we do not offer sponsorship for this 1099 contract role. International students on a valid visa may be eligible to apply; however, specific circumstances should be discussed with a tax or immigration advisor. We are unable to provide employment documentation at this time. Compensation rates may vary for non-US locations. Alignerr