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Collaborate with AI research labs to improve developer tools and evaluate AI-generated code. | Requires 5+ years of professional experience, proficiency in Python, JavaScript, Java, or C++, and experience with large codebases or open-source projects. | About the Role This opportunity brings experienced engineers into collaboration with leading AI research labs to help improve next-generation developer tools and intelligent systems used at scale. Position: Senior Software Engineer Compensation: $50–$150/hour (based on experience) Role Responsibilities • Use advanced AI-assisted development tools in day-to-day engineering work • Review, validate, and refine AI-generated code and technical outputs • Provide structured feedback to improve model reasoning, reliability, and performance • Partner with AI research teams to iterate on tools, workflows, and evaluation methods • Work independently and asynchronously while meeting quality and delivery standards Ideal Profile • 5+ years of professional software engineering experience • Strong proficiency in one or more languages such as Python, JavaScript, Java, or C++ • Experience with code reviews, debugging, testing, and system design • Comfortable working with technical documentation and providing precise feedback • Prior experience with large codebases or open-source projects is a plus Application Process (Takes 20–30 minutes) • Upload your resume • Complete a short AI interview based on your experience • Submit the application form

Annotate and classify diverse datasets to improve AI model accuracy and reasoning in a fully remote, short-term contract role. | Must be U.S.-based with strong reading comprehension, analytical, and writing skills; prior data labeling experience preferred but not required. | Generalist Data Annotation Expert Hourly Contract | Remote $45 per hour About the Role A leading AI research initiative is seeking detail-oriented generalists to support the development and fine-tuning of advanced AI systems. In this role, you will help improve AI model accuracy and reasoning by categorizing, labeling, and structuring diverse datasets. Your work will directly influence the quality, reliability, and interpretability of next-generation AI technologies. This is a short-term, fully remote engagement with potential for extension based on project performance. Key Responsibilities • Synthesize large volumes of information into clear, structured outputs. • Annotate and classify text, images, and multimedia data according to precise project guidelines. • Apply standardized rubrics and taxonomies to ensure consistent labeling quality. • Identify and flag errors, ambiguities, or inconsistencies in datasets. • Contribute to the evaluation and enhancement of AI reasoning and perception systems. Ideal Qualifications • Based in the United States. • Strong ability to process and structure complex information efficiently. • Excellent reading comprehension, analytical, and writing skills. • Prior experience in data labeling, content moderation, taxonomy development, or linguistic annotation (preferred but not required). • Comfortable working independently and maintaining quality under flexible scheduling. Project Timeline • Start Date: Immediate • Duration: Through October (potential extension through year-end) • Commitment: ~20 hours/week • Schedule: Fully remote and asynchronous — set your own working hours Compensation & Contract • Rate: $45 USD/hour (U.S.-based contractors) • Contract Type: Independent contractor • Payments: Weekly via Stripe Connect Application & Onboarding Process • Submit your resume to begin the process. • Complete a short Training Assessment to demonstrate attention to detail and comprehension. • Receive a response within 1–2 business days with next steps. ⚡ PS: Mercor team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ⚡

Design and review consulting-style prompts and evaluation rubrics, benchmark AI responses, provide feedback on business reasoning, and collaborate asynchronously with AI researchers. | 2+ years at a top-tier consulting firm with strong skills in strategic problem-solving, market research, structured analysis, and exceptional communication. | Consulting Expert Hourly Contract | Remote | Offers Equity $80–$120 per hour About the Role A leading AI research initiative is seeking experienced Management Consultants to collaborate on a long-term project focused on benchmarking and enhancing the reasoning capabilities of cutting-edge AI systems. In this role, you’ll design and evaluate consulting-style scenarios, frameworks, and case analyses to help large language models (LLMs) learn how top-tier consultants reason, structure business problems, and communicate insights. Your expertise will directly shape how AI systems interpret strategy, operations, and management challenges with human-level analytical precision. Key Responsibilities • Design and review consulting-style prompts, structured answers, and evaluation rubrics. • Benchmark AI-generated responses against established consulting frameworks and real-world standards. • Provide structured feedback on analytical rigor, communication clarity, and business reasoning. • Conduct targeted research to inform prompt quality and evaluation consistency. • Collaborate asynchronously with AI researchers and consulting peers to refine model performance. Ideal Qualifications • 2+ years of experience at a top-tier consulting firm (e.g., McKinsey, Bain, BCG, or equivalent). • Strong skills in strategic problem-solving, market research, and structured analysis. • Exceptional written communication and attention to logical consistency. • Ability to synthesize insights from multiple data sources into coherent business narratives. • Experience in case design, training, or performance evaluation is a plus. Project Timeline • Start Date: Immediate • Duration: 4 weeks (with potential for extension) • Commitment: Flexible, ~20+ hours/week • Schedule: Fully remote and asynchronous — work on your own schedule Compensation & Contract • Hourly Rate: $80–$120 USD/hour (depending on experience) • Equity: Offered to high-performing contributors • Bonuses: Weekly incentives ($20–$100/hr) for top performers • Contract Type: Independent contractor • Payments: Daily via Stripe Connect Application & Onboarding Process • Submit your resume or consulting profile outlining relevant project experience. • Complete a short 15-minute AI interview to assess domain expertise and analytical style. • Mercor team will follow up within a few days with next steps. ⚡ PS: Mercor team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ⚡

Review and refine AI-generated code and analyses, validate statistical and computational accuracy, provide feedback, categorize datasets, and contribute to benchmarking AI model performance. | 3+ years in data science or related field, proficiency in Python and SQL, experience with ML frameworks, strong statistical and analytical skills, and excellent communication. | Data Science Expert Hourly Contract | Part-time Remote (US) $80 –$120 per hour About the Role A leading AI research initiative is seeking experienced Data Science Experts to support high-impact collaborations focused on advancing the reasoning, accuracy, and reliability of cutting-edge AI systems. In this role, you’ll apply your data science and engineering expertise to evaluate model performance, design algorithmic benchmarks, and improve the technical rigor of AI-generated code and analyses. Your contributions will directly shape how next-generation AI systems reason, code, and learn. Key Responsibilities • Review and refine AI-generated code, prompts, and analytical outputs. • Validate technical concepts for statistical soundness and computational accuracy. • Provide structured feedback on solution quality, logic, and clarity. • Categorize and label datasets, prompts, and models by topic and difficulty. • Contribute to benchmarking and evaluation frameworks for model performance. Ideal Qualifications • 3+ years of experience in data science, machine learning, or applied statistics (industry or research). • Degree in Data Science, Computer Science, Statistics, Applied Mathematics, or related field (Bachelor’s minimum; advanced degree preferred). • Strong proficiency in Python and SQL; familiarity with R, Java, or Scala is a plus. • Experience building and deploying ML models using scikit-learn, TensorFlow, or PyTorch. • Skilled in statistical analysis, feature engineering, and data wrangling on large datasets. • Excellent analytical, communication, and documentation skills. Project Timeline • Start Date: Immediate • Duration: 1–2 months (potential for extension) • Commitment: 15–25 hours/week (flexible up to 40 hours/week) • Schedule: Fully remote and asynchronous — work on your own time Compensation & Contract • Rate: $80–$120 USD/hour (based on experience) • Contract Type: Independent contractor • Payments: Daily via Stripe Connect Application & Onboarding Process • Upload your resume or CV. • Complete a short AI-led interview (15 minutes). • Receive onboarding materials and next steps within a few days. ⚡ PS: Mercor team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ⚡

Design and evaluate complex physics problems to improve AI reasoning in physics, providing detailed feedback and collaborating asynchronously with researchers. | PhD in Physics or related field, 2+ years physics research or academic experience, strong analytical and communication skills, preferably prior academic content evaluation experience. | Physics Expert (PhD) Hourly Contract | Part-time Remote (US) $70 –$85 per hour About the Role A leading AI research initiative is seeking Physics PhD experts to contribute to a frontier project advancing large language models (LLMs). In this role, you’ll leverage your deep subject-matter expertise to design, evaluate, and refine high-quality physics problems that challenge AI systems to reason with precision and scientific rigor. Your work will directly influence how next-generation AI models understand and replicate real-world reasoning in physics — spanning classical mechanics, electromagnetism, thermodynamics, quantum mechanics, and relativity. Key Responsibilities • Develop and assess complex, real-world physics problems across major subfields. • Evaluate AI-generated responses for scientific accuracy, mathematical rigor, and conceptual depth. • Provide clear, structured written feedback on model outputs and solutions. • Collaborate asynchronously with AI researchers to improve reasoning, consistency, and fidelity in physics-related datasets. • Maintain academic precision and ensure all content meets the highest standards of scientific integrity. Ideal Qualifications • PhD in Physics or a closely related discipline from a top-tier university. • 2+ years of experience in academia or research (teaching, publication, or professional work as a physicist/engineer). • Strong analytical reasoning and exceptional attention to detail. • Excellent written and verbal communication skills in English. • Prior experience evaluating academic or technical content preferred. Project Timeline • Start Date: Immediate • Duration: 1–2 months • Commitment: Part-time (~20 hours/week, extendable to 40 hours/week) • Schedule: Fully remote and asynchronous — work flexibly on your own time Compensation & Contract • Rate: $70–$85 USD/hour (based on experience) • Contract Type: Independent contractor • Payments: Weekly via Stripe Connect Application & Onboarding Process • Submit your resume and brief application form. • Complete a 15-minute AI interview focused on your domain expertise and interests. • Participate in a paid, 4-hour work trial to demonstrate your ability to create and evaluate physics-specific content. ⚡ PS: Mercor team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ⚡