Referral Partner: HelixRecruit Our partner is looking to hire a Hindi-language expert intimately familiar with the Hindi dialect in India and accent for a consulting project with a leading AI startup. Requirements You must be fluent in Hindi and English. You must have a good knowledge of regional Indian accents. You must understand the cultural connotation of different regional accents, ethnic backgrounds, local idiomatic expressions, age, and other vocal characteristics. You must understand current Indian popular culture and be up to date on news. You must be highly proficient in English, as you will need to communicate effectively with members of the hiring company’s team. Commitment This role will require 10-15 hours of commitment per week. This is a remote role, and will require some synchronous communication and meetings between you and members of the team.
Referral Partner: HelixRecruit Salary: $45K-$65K/yr What you’ll do In your first year you’ll ship production code every week across Python- and Go-based services and a React/Next.js frontend that screens millions of candidates. You’ll design new microservices—real-time ranking, interview analytics, and payouts that move millions of dollars—while pairing with senior engineers to profile, test, and harden our LLM-powered agents. You’ll speak directly with users, turn pain points into specs, and own features end-to-end. You’ll thrive here if You have solid CS fundamentals and projects you’re proud to demo; you iterate fast—prototype, test, ship in days—and care as much about product polish as system performance. Curiosity about LLMs, retrieval, and ranking is a bonus; you’ll learn alongside engineers who have shipped at Jane Street, Citadel, Databricks, and Stripe. Our stack Go · Python · React · AWS We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
Our client trains large-scale models that predict on-the-job performance more accurately than any human interview. Our platform already powers hiring at the top AI labs, and we scaled from $1 M to $100 M ARR in 11 months—making us the fastest-growing AI startup on record. What you’ll do In your first year you’ll ship production code every week across Python- and Go-based services and a React/Next.js frontend that screens millions of candidates. You’ll design new microservices—real-time ranking, interview analytics, and payouts that move millions of dollars—while pairing with senior engineers to profile, test, and harden our LLM-powered agents. You’ll speak directly with users, turn pain points into specs, and own features end-to-end. You’ll thrive here if You have solid CS fundamentals and projects you’re proud to demo; you iterate fast—prototype, test, ship in days—and care as much about product polish as system performance. Curiosity about LLMs, retrieval, and ranking is a bonus; you’ll learn alongside engineers who have shipped at Jane Street, Citadel, Databricks, and Stripe. Our stack Go · Python · React · AWS
Build the AI that builds teams Our partner trains large-scale models that predict on-the-job performance more accurately than any human interview. Our platform already powers hiring at the top AI labs, and we scaled from $1 M to $100 M ARR in 11 months—making us the fastest-growing AI startup on record. What you’ll do In your first year you’ll ship production code every week across Python- and Go-based services and a React/Next.js frontend that screens millions of candidates. You’ll design new microservices—real-time ranking, interview analytics, and payouts that move millions of dollars—while pairing with senior engineers to profile, test, and harden our LLM-powered agents. You’ll speak directly with users, turn pain points into specs, and own features end-to-end. You’ll thrive there if You have solid CS fundamentals and projects you’re proud to demo; you iterate fast—prototype, test, ship in days—and care as much about product polish as system performance. Curiosity about LLMs, retrieval, and ranking is a bonus; you’ll learn alongside engineers who have shipped at Jane Street, Citadel, Databricks, and Stripe. Stack Go · Python · React · AWS We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
Our partner is hiring a Backend Systems & DevOps Engineer to create terminal bench–style problems and tasks involving agents within the backend/DevOps domain, as part of a hiring effort for its AI lab partner building advanced agent-based infrastructure. This role is ideal for engineers with deep expertise in backend infrastructure, DevOps tooling, and system automation — who are excited to design realistic environments where AI agents interact with terminal-based systems, debug services, manage deployments, and solve infrastructure-level problems autonomously. You’re a great fit if you: Have 3+ years of experience in backend engineering, DevOps, or site reliability engineering (SRE). Are proficient in Linux, Bash scripting, and terminal-based workflows. Have experience designing or managing CI/CD pipelines, containerized systems (Docker/Kubernetes), and cloud infrastructure (AWS, GCP, or Azure). Understand backend architecture components like databases, API services, message queues, and monitoring stacks (e.g. Prometheus, Grafana, ELK). Have built or maintained automated deployments, observability pipelines, or complex infrastructure-as-code systems (Terraform, Ansible, etc.). Are skilled in debugging system failures, service crashes, config errors, or infrastructure bottlenecks. Are curious about autonomous agents and want to build terminal-based simulation environments to test agent reasoning, automation, and recovery abilities. Enjoy working independently, with a strong ownership mindset and a desire to push the boundaries of what's possible. Primary Goal of This Role To create terminal bench–style problems and tasks involving agents within backend and DevOps systems. These environments will simulate realistic infrastructure and operational challenges — such as debugging service failures, editing configurations, managing deployments, and resolving system alerts — and will be used to evaluate the performance, reliability, and reasoning capabilities of autonomous agents under real-world conditions. What You’ll Do Build sandboxed terminal environments that simulate backend and DevOps workflows. Create reproducible tasks involving deployment debugging, log analysis, CI failures, monitoring alerts, or misconfigurations. Simulate full-stack service environments using containers, microservices, and orchestration tools. Collaborate with AI engineers to define reward functions, task boundaries, and performance metrics. Implement systems for environment resets, benchmark versioning, and task automation. Expand the scope of tasks to represent increasingly complex real-world DevOps scenarios (multi-service failures, rollbacks, scaling, security missteps). Why This Role Is Exciting You'll help define how agents are benchmarked in backend, DevOps, and systems engineering domains. You’ll work at the frontier of AI x infrastructure, designing problems AI has never been evaluated on before. You’ll have high autonomy, creative control, and direct impact on shaping a new kind of agent benchmarking platform. Pay & Work Structure You’ll be classified as an hourly contractor Part-time (20 hrs/week) with fully remote, async flexibility — work from anywhere, on your schedule.
Our partner is partnering with a leading AI startup to engage a Bengali-language expert for a project focused on improving AI-generated content through image and video generation . As a Linguistic Expert, you will help refine the model’s understanding and production of visual output based on Bengali language prompts, ensuring outputs are accurate, natural, and culturally aligned. This opportunity is ideal for someone excited to experiment with frontier AI systems such as Gemini’s image and video tools , exploring how they interpret complex linguistic and cultural inputs. You’ll contribute to identifying and documenting failure modes and edge cases that help improve future model performance. Key Responsibilities Review, evaluate, and refine AI-generated images and videos based on Bengali prompts for accuracy, relevance, and fluency. Provide linguistic and cultural feedback to improve model understanding. Identify and correct subtle linguistic and cultural nuances in AI-generated outputs. Experiment with Gemini and other multimodal AI tools to test prompt effectiveness and output quality. Document failure modes and inconsistencies to inform model refinement. Collaborate with AI researchers and engineers to enhance overall system behavior. Ideal Qualifications Full professional fluency in Bengali and English. Strong understanding of regional Bengali dialects, idioms, and expressions. Familiarity with Bengali and Indian cultural, social, and linguistic diversity. Up-to-date awareness of contemporary Bengali and Indian media and popular culture. Interest in AI creativity tools and curiosity about how models interpret linguistic prompts visually. Excellent communication skills and keen attention to detail. Project Timeline Start Date: Immediate Duration: 5 weeks (with potential extension) Commitment: Part-time, at least 10 hours/week Schedule: Fully remote and asynchronous — work on your own time Compensation & Contract Hourly Rate: $8–$12/hr (USD) , depending on experience and background Status: Independent Contractor Payment: Weekly Application Process Submit your resume or profile highlighting relevant linguistic and cultural expertise. Shortlisted candidates may complete a brief skills evaluation or language sample. Expect to hear back within a few days regarding next steps.
Our partner is inviting PhD students from top institutions to help push the boundaries of AI reasoning by training large language models to tackle advanced mathematical challenges. As part of this engagement, you’ll: Develop original, graduate-level problems in pure and applied mathematics. Evaluate AI-generated solutions, identifying gaps in ability. Provide feedback and generate complete & correct solutions. Eligibility is strictly limited to PhD students, post-docs, and early career professors . The role is a short-term, high-impact research engagement, with potential for extension based on performance. Rates: $80: Early career professors at top US/UK-based institutions $70: Post-docs & senior PhD students at top institutions globally $60: 1st & 2nd year PhD students Key Responsibilities Design novel, advanced mathematics problems Closely review, test, and evaluate AI-generated solutions for correctness and clarity Identify logical flaws, incomplete reasoning, or insufficiently-rigorous proofs Provide structured feedback and clear, concise, and correct solutions Maintain extremely high standards of mathematical precision and problem difficulty Required Qualifications Current PhD student, post-doc, or recent PhD-graduate (<5 years ago) in pure or applied mathematics Must be highly proficient in writing and formatting documents using LaTeX Demonstrated expertise in at least one of the following: algebra, geometry, combinatorics, number theory, analysis, probability, or closely related fields Ability to clearly articulate complex reasoning in written form Rigorous attention to detail in verifying solutions Independent, reliable, and disciplined work style More About the Opportunity Remote and flexible — work on your own schedule Expected commitment: 20 hours/week minimum; up to 40 hours/week available Approximate project length: ~10 weeks, with extension potential Rolling start dates; setup typically within 1–2 days of approval Compensation & Contract Terms Open to applicants worldwide (English proficiency required) Independent contractor arrangement through Mercor Weekly payments via Stripe Connect Application Process Complete a brief interview (20–30 minutes) Complete a brief mathematical reasoning test
Our partner is partnering with a leading AI startup to engage a Bengali-language expert for a project focused on improving AI-generated content through image and video generation . As a Linguistic Expert, you will help refine the model's understanding and production of visual output based on Bengali language prompts, ensuring outputs are accurate, natural, and culturally aligned. This opportunity is ideal for someone excited to experiment with frontier AI systems such as Gemini's image and video tools , exploring how they interpret complex linguistic and cultural inputs. You'll contribute to identifying and documenting failure modes and edge cases that help improve future model performance. Key Responsibilities Review, evaluate, and refine AI-generated images and videos based on Bengali prompts for accuracy, relevance, and fluency. Provide linguistic and cultural feedback to improve model understanding. Identify and correct subtle linguistic and cultural nuances in AI-generated outputs. Experiment with Gemini and other multimodal AI tools to test prompt effectiveness and output quality. Document failure modes and inconsistencies to inform model refinement. Collaborate with AI researchers and engineers to enhance overall system behavior. Ideal Qualifications Full professional fluency in Bengali and English. Strong understanding of regional Bengali dialects, idioms, and expressions. Familiarity with Bengali and Indian cultural, social, and linguistic diversity. Up-to-date awareness of contemporary Bengali and Indian media and popular culture. Interest in AI creativity tools and curiosity about how models interpret linguistic prompts visually. Excellent communication skills and keen attention to detail. Project Timeline Start Date: Immediate Duration: 5 weeks (with potential extension) Commitment: Part-time, at least 10 hours/week Schedule: Fully remote and asynchronous work on your own time Compensation & Contract Hourly Rate: $8$12/hr (USD) , depending on experience and background Status: Independent Contractor Payment: Weekly Application Process Submit your resume or profile highlighting relevant linguistic and cultural expertise. Shortlisted candidates may complete a brief skills evaluation or language sample. Expect to hear back within a few days regarding next steps.
Our partner is seeking PhD holders, doctoral candidates, and exceptional Master’s graduates in chemistry and related fields to join a high-impact AI research initiative in collaboration with a leading artificial intelligence lab. This position focuses on evaluating and improving large language models (LLMs) by leveraging deep subject-matter expertise in chemistry to rigorously assess model accuracy, reasoning, and scientific depth across advanced chemical disciplines. Key Domains General Chemistry Organic Chemistry Inorganic Chemistry Analytical Chemistry Physical Chemistry Electrochemistry Polymer Chemistry Biochemistry and Molecular Biology Medicinal Chemistry Radiochemistry Chemical Engineering and Technology Fluid Flow and Heat Transfer in Chemical Engineering Mass Transport and Separation Processes Chemical Reaction Engineering Key Responsibilities Evaluate the scientific accuracy, reasoning, and technical rigor of LLM-generated content across chemical disciplines. Review outputs on topics spanning molecular structure, kinetics, thermodynamics, catalysis, reaction mechanisms, and industrial processes. Identify and document factual inaccuracies, logical inconsistencies, and reasoning gaps. Provide structured feedback and benchmarking using specialized evaluation tools. Work independently and asynchronously as part of a distributed research team. Requirements PhD (or PhD candidate) in Chemistry, Chemical Engineering, Biochemistry, or a closely related field. Strong command of graduate-level chemistry concepts and scientific problem solving. Excellent written communication and analytical thinking skills. Ability to work independently in a remote, asynchronous environment. Strong proficiency in Python, particularly for scientific analysis and model evaluation, is required. Role Details Part-time (approximately 30 hours/week) Remote and asynchronous Flexible schedule
Our partner is seeking PhD holders, doctoral candidates, and exceptional Master's graduates in mathematics and related fields to join a high-impact AI research initiative in partnership with a leading AI lab. This role involves evaluating and enhancing large language models (LLMs) by applying subject-matter expertise in advanced mathematics, including both graduate-level topics and high school competition-level problem solving. Key Responsibilities Evaluate the accuracy, depth, and mathematical rigor of LLM-generated solutions to graduate-level and Olympiad-style math problems. Assess model performance on topics including advanced algebra, geometry, number theory, combinatorics, calculus, and mathematical reasoning. Complete structured evaluations using an 8–10 question rubric and provide concise written feedback explaining your scoring decisions. Identify reasoning flaws, incomplete solutions, or conceptual misunderstandings. Work independently and asynchronously using provided tools and guidelines. You’re a strong fit if you have: A PhD (or are currently a PhD candidate) in Mathematics, Applied Mathematics, or a related STEM field. Deep familiarity with advanced mathematics and competition-style problem solving (e.g. AIME, HMMT, Putnam). Strong ability to evaluate multi-step reasoning and solution quality in technical mathematical tasks. Excellent analytical thinking and attention to detail. Strong written communication skills in mathematical contexts. Comfort working independently and asynchronously in a remote environment. Basic understanding of Python or willingness to learn is preferred, but not required. Role Details Part-time (10–20 hours/week) with flexible scheduling. 100% remote and asynchronous — work from anywhere, anytime. Compensation & Legal Contractor position Competitive rates based on domain expertise, ranging from $20 to $35/hour. Weekly payments processed
Our partner is seeking PhD holders, doctoral candidates, and outstanding Master’s graduates in physics and related disciplines to join a high-impact AI research initiative in partnership with a leading artificial intelligence lab.This position focuses on evaluating and advancing large language models (LLMs) by applying deep expertise in theoretical and applied physics to assess model reasoning, accuracy, and depth across advanced physical science domains. Key Domains Electromagnetism and Photonics Thermodynamics Optics and Acoustics Theoretical Optics Theoretical Mechanics Statistical Mechanics Atomic and Molecular Physics Solid State Physics Semiconductor Physics Fluid Physics Astrophysics and Cosmology Biophysics Electrical Engineering Mechanical Engineering Control Theory and Control Engineering Key Responsibilities Evaluate scientific correctness, conceptual rigor, and depth of LLM-generated responses across physics and engineering topics. Review outputs involving mathematical modeling, experimental methods, and theoretical frameworks in physics. Identify factual errors, reasoning flaws, and conceptual misunderstandings in model outputs. Benchmark model performance on advanced physics and applied engineering problems . Work independently and asynchronously using proprietary evaluation tools. Requirements PhD (or PhD candidate) in Physics, Applied Physics, Electrical or Mechanical Engineering, or a closely related field. Strong command of graduate-level physics and mathematical reasoning . Excellent written communication and analytical abilities. Ability to work independently in a remote, asynchronous setting . Proficiency in Python for scientific analysis or model evaluation preferred. Role Details Part-time (30 hours/week) Remote and asynchronous work environment Flexible schedule to accommodate global contributors Compensation Contractor position Weekly payments
Our partner is seeking PhD holders, doctoral candidates, and exceptional Master’s graduates in chemistry and related fields to join a high-impact AI research initiative in collaboration with a leading artificial intelligence lab. This position focuses on evaluating and improving large language models (LLMs) by leveraging deep subject-matter expertise in chemistry to rigorously assess model accuracy, reasoning, and scientific depth across advanced chemical disciplines. Key Domains General Chemistry Organic Chemistry Inorganic Chemistry Analytical Chemistry Physical Chemistry Electrochemistry Polymer Chemistry Biochemistry and Molecular Biology Medicinal Chemistry Radiochemistry Chemical Engineering and Technology Fluid Flow and Heat Transfer in Chemical Engineering Mass Transport and Separation Processes Chemical Reaction Engineering Key Responsibilities Evaluate the scientific accuracy, reasoning, and technical rigor of LLM-generated content across chemical disciplines. Review outputs on topics spanning molecular structure, kinetics, thermodynamics, catalysis, reaction mechanisms, and industrial processes. Identify and document factual inaccuracies, logical inconsistencies, and reasoning gaps. Provide structured feedback and benchmarking using specialized evaluation tools. Work independently and asynchronously as part of a distributed research team. Requirements PhD (or PhD candidate) in Chemistry, Chemical Engineering, Biochemistry, or a closely related field. Strong command of graduate-level chemistry concepts and scientific problem solving. Excellent written communication and analytical thinking skills. Ability to work independently in a remote, asynchronous environment. Strong proficiency in Python, particularly for scientific analysis and model evaluation, is required. Role Details Part-time (approximately 30 hours/week) Remote and asynchronous Flexible schedule
Our partner is seeking PhD holders, doctoral candidates, and exceptional Master’s graduates in mathematics, applied Mathematics, or a related STEM field to join a high-impact AI research initiative in partnership with a leading AI lab. Key Domains Real, Complex, & Functional Analysis Complex Analysis / Spectrum Theory / Fourier Analysis Ordinary & Partial Differential Equations Mathematical Physics / Partial Differential Equations / Dynamical Systems Key Responsibilities Review and audit submitted data, including prompts, solutions, final answers, references, and metadata. Evaluate task quality using structured turn-level and task-level rubrics (8–10 criteria), ensuring clarity, correctness, and logical consistency. Verify the accuracy of solutions, reasoning steps, and chain-of-thoughts, identifying flaws, gaps, or inconsistencies. Provide concise, well-reasoned written feedback to justify evaluation decisions. Work independently and asynchronously following provided tools and workflows. Qualifications PhD (candidate/recipient) or Masters in Mathematics, Applied Mathematics, or a related STEM field. Expertise in one or more domains, including: Mathematics : algebra, geometry, number theory, combinatorics, probability, graph theory. General domains : summarisation, open/closed Q&A, classification, reasoning tasks. Strong analytical skills with the ability to evaluate multi-step reasoning. Excellent written communication and attention to detail. Ability to work independently in a fully remote environment. Role Details Part-time: 20 hours per week with flexible scheduling. 100% remote and asynchronous — work from anywhere. Compensation & Legal Contractor position, paid hourly. Competitive rates based on expertise: $20–$30/hour . Weekly payments processed securely
This opportunity is shared as part of a referral program Mercor is seeking PhD holders, doctoral candidates, and outstanding Master’s graduates in biology and related disciplines to join a high-impact AI research initiative in partnership with a leading artificial intelligence lab . Key Domains Here is a list of domains. If you belong to or have expertise in one or more of them, feel free to apply — we’re excited to have you on the team! Molecular & Cellular Biology: Molecular Biology, Cell Biology, Biochemistry, Genetics, Genomics, Proteomics, Metabolomics Organismal & Evolutionary Biology: Evolutionary Biology, Developmental Biology, Ecology, Microbiology, Virology, Botany, Zoology Biomedical & Applied Life Sciences: Immunology, Neurobiology, Physiology, Biotechnology, Systems Biology, Bioinformatics, Computational Biology Interdisciplinary Biological Sciences: Biophysics, Structural Biology, Synthetic Biology, Environmental Biology Key Responsibilities Evaluate scientific correctness, conceptual rigor, and depth of LLM-generated responses across biology and biomedical domains. Review outputs involving experimental design, data interpretation, and theoretical frameworks in biological sciences. Identify factual inaccuracies, reasoning errors, and conceptual misunderstandings in model outputs. Benchmark model performance on advanced biological and interdisciplinary research problems. Work independently and asynchronously using proprietary evaluation tools. Requirements PhD (candidate/recipient) or Master’s degree in Biology, Molecular Biology, Biochemistry, Biotechnology, Bioinformatics, or a closely related field. Strong command of graduate-level biological concepts, experimental reasoning, and data interpretation. Excellent written communication and analytical abilities. Ability to work independently in a remote, asynchronous setting. Role Details Part-time (20 hours/week) Remote and asynchronous work environment Flexible schedule to accommodate global contributors Compensation Contractor position $20–$30/hour , depending on expertise and domain depth Weekly payments
This opportunity is shared as part of a referral program Mercor is seeking PhD holders, doctoral candidates, and exceptional Master’s graduates in chemistry and related fields to join a high-impact AI research initiative in collaboration with a leading artificial intelligence lab. Key Domains Here is a list of domains. If you belong to or have expertise in one or more of them, feel free to apply — we’re excited to have you on the team! Core Chemistry Disciplines: General Chemistry, Inorganic Chemistry, Organic Chemistry, Physical Chemistry Analytical and Specialized Chemistry: Analytical Chemistry, Electrochemistry, Radiochemistry, Polymer Chemistry Biological and Medicinal Chemistry: Biochemistry and Molecular Biology, Medicinal Chemistry Chemical Engineering and Process Sciences: Chemical Engineering and Technology, Fluid Flow and Heat Transfer in Chemical Engineering, Mass Transport and Separation Processes, Chemical Reaction Engineering Key Responsibilities Evaluate the scientific accuracy, reasoning, and technical rigor of LLM-generated content across chemical disciplines. Review outputs on topics spanning molecular structure, kinetics, thermodynamics, catalysis, reaction mechanisms, and industrial processes. Identify and document factual inaccuracies, logical inconsistencies, and reasoning gaps. Provide structured feedback and benchmarking using specialized evaluation tools. Work independently and asynchronously as part of a distributed research team. Requirements PhD (candidate/recipient) or Masters in Chemistry, Chemical Engineering, Biochemistry, or a closely related field. Strong command of graduate-level chemistry concepts and scientific problem solving. Excellent written communication and analytical thinking skills. Ability to work independently in a remote, asynchronous environment. Strong proficiency in Python, particularly for scientific analysis and model evaluation, is required. Role Details Part-time (approximately 20 hours/week) Remote and asynchronous Flexible schedule Compensation Contractor position $20–$30/hou , based on expertise and domain experience Weekly payments via Stripe Connect
This opportunity is shared as part of a referral program Mercor is hiring a Data Scientist to help build advanced analytics and data-driven infrastructure for its AI lab partner focused on developing intelligent agent-based systems. This role is ideal for analytical thinkers who excel at turning large-scale data into actionable insights and enjoy working at the intersection of machine learning, experimentation, and real-world applications. You’ll be designing data pipelines, statistical models, and performance metrics that drive the next generation of autonomous systems. You’re a great fit if you: Have a strong background in data science, machine learning, or applied statistics . Are proficient in Python, SQL , and familiar with libraries such as Pandas, NumPy, Scikit-learn, and PyTorch/TensorFlow . Understand probabilistic modeling, statistical inference, and experimentation frameworks (A/B testing, causal inference) . Can collect, clean, and transform complex datasets into structured formats ready for modeling and analysis. Have experience designing and evaluating predictive models , using metrics like precision, recall, F1-score, and ROC-AUC. Are comfortable working with large-scale data systems (Snowflake, BigQuery, or similar). Are curious about AI agents , and how data can shape the reasoning, adaptability, and behavior of intelligent systems. Enjoy collaborating with cross-functional teams — from engineers to research scientists — to define meaningful KPIs and experiment setups. Primary Goal of This Role To design and implement robust data models, pipelines, and metrics that support experimentation, benchmarking, and continuous learning for agentic AI systems. The role focuses on building data-driven insights into how agents reason, perform, and improve over time across algorithmic and real-world tasks. What You’ll Do Develop data collection and preprocessing pipelines for structured and unstructured data from multiple agent simulations. Build and iterate on machine learning models for performance prediction, behavior clustering, and outcome optimization. Design and maintain dashboards and visualization tools for monitoring agent performance, benchmarks, and trends. Conduct statistical analyses to evaluate the efficacy of AI systems under various environments and constraints. Collaborate with engineers to design evaluation frameworks that measure reasoning quality, adaptability, and efficiency. Prototype data-driven tools and feedback loops to automatically improve model accuracy and agent behavior over time. Work closely with AI research teams to translate experimental results into scalable, production-grade insights. Why This Role Is Exciting Work at the forefront of AI agent intelligence and help define how data shapes their evolution. Blend machine learning, experimentation, and data engineering in one role. Collaborate with top-tier AI engineers on new agent benchmarks and feedback mechanisms . Contribute to a mission that merges algorithmic reasoning, real-world performance, and human-like decision-making . Pay & Work Structure You’ll be classified as an hourly contractor Paid weekly based on hours logged. Part-time (20 hrs - 40 hrs/week) with fully remote, async flexibility — work from anywhere, on your own schedule. Weekly bonus of $500 - $1000 USD per 5 task created.
This opportunity is shared as part of a referral program Mercor is seeking PhD holders, doctoral candidates, and exceptional Master’s graduates in mathematics, applied Mathematics, or a related STEM field to join a high-impact AI research initiative in partnership with a leading AI lab. Key Domains Real, Complex, & Functional Analysis Complex Analysis / Spectrum Theory / Fourier Analysis Ordinary & Partial Differential Equations Mathematical Physics / Partial Differential Equations / Dynamical Systems Key Responsibilities Review and audit submitted data, including prompts, solutions, final answers, references, and metadata. Evaluate task quality using structured turn-level and task-level rubrics (8–10 criteria), ensuring clarity, correctness, and logical consistency. Verify the accuracy of solutions, reasoning steps, and chain-of-thoughts, identifying flaws, gaps, or inconsistencies. Provide concise, well-reasoned written feedback to justify evaluation decisions. Work independently and asynchronously following provided tools and workflows. Qualifications PhD (candidate/recipient) or Masters in Mathematics, Applied Mathematics, or a related STEM field. Expertise in one or more domains, including: Mathematics : algebra, geometry, number theory, combinatorics, probability, graph theory. General domains : summarisation, open/closed Q&A, classification, reasoning tasks. Strong analytical skills with the ability to evaluate multi-step reasoning. Excellent written communication and attention to detail. Ability to work independently in a fully remote environment. Role Details Part-time: 20 hours per week with flexible scheduling. 100% remote and asynchronous — work from anywhere. Compensation & Legal Contractor position, paid hourly. Competitive rates based on expertise: $20–$30/hour . Weekly payments processed securely