Key Responsibilities Build NLP pipelines for classification, tokenization, and retrieval-augmented generation (RAG). Design scalable text analytics workflows for multilingual corpora. Implement and fine-tune models (Hugging Face, PyTorch, fastText). Develop evaluation frameworks for model performance. Integrate NLP solutions into broader AI/search pipelines. Collaborate with researchers and engineers to deliver production-grade systems. Ideal Candidate Degree/background in computer science, computational linguistics, or related field. Proficient with Hugging Face Transformers, spaCy, tokenizers, PyTorch. Experienced with JSON/JSONL and building scalable data pipelines. Strong understanding of NLP tasks: classification, tokenization, entity recognition, retrieval. Skilled in preprocessing, embeddings, and model fine-tuning. Comfortable with multilingual datasets and evaluation benchmarks. Interested in RAG systems and neural search pipelines. Primary Goal Deliver robust NLP pipelines for classification, tokenization, and RAG at scale. Why Join Work on cutting-edge RAG and NLP pipelines. Use state-of-the-art NLP and IR tools. Contribute to global, multilingual AI systems. Operate at the intersection of AI, language, and scalable engineering.
Software Engineer (India) Our client is training models that predict how well someone will perform on a job better than a human can. Similar to how a human would review a resume, conduct an interview, and decide who to hire, we automate all of those processes with LLMs. About the Role You'll play a crucial role in helping us refine and scale our AI-powered hiring platform, which will create a billion jobs. Members of our technical staff are responsible for improving the AI interview experience, processing millions in payouts each week, and building the most effective recruiting engine in the world. What Are We Looking For? Willing to align evening working hours with PT time zone through at least 11am PT. Bachelor’s degree or higher in computer science Fluency in React, Next.js, Python, or Go Experience designing schemas for SQL and NoSQL databases Experience with cloud platforms (GCP or AWS) Attention to detail and eagerness to learn Compensation Base cash comp from $20K-$100K Performance bonuses up to 40% of base comp
Software Engineer (India) Our client is training models that predict how well someone will perform on a job better than a human can. Similar to how a human would review a resume, conduct an interview, and decide who to hire, we automate all of those processes with LLMs. About the Role You'll play a crucial role in helping us refine and scale our AI-powered hiring platform, which will create a billion jobs. Members of our technical staff are responsible for improving the AI interview experience, processing millions in payouts each week, and building the most effective recruiting engine in the world. What Are We Looking For Willing to align evening working hours with PT time zone through at least 11am PT. Bachelor's degree or higher in computer science Fluency in React, Next.js, Python, or Go Experience designing schemas for SQL and NoSQL databases Experience with cloud platforms (GCP or AWS) Attention to detail and eagerness to learn Compensation Base cash comp from $20K-$100K Performance bonuses up to 40% of base comp
Computational Physics Specialist - India [$10.5/hr] As referral partner we are posting for a Computational Physics Specialist to create terminal bench–style problems and tasks involving agents within the physics domain, as part of a hiring effort for its AI lab partner building advanced agent-based infrastructure. This role is ideal for individuals with a strong foundation in physics and a working knowledge of programming who are excited to design real-world simulations and problem-solving environments. You will be building terminal-based benchmarks where agents are tested on their ability to reason through and solve physics-based challenges using code, commands, and logic — all within a realistic terminal interface. You’re a great fit if you: Have a background in Physics, Applied Physics, or Engineering Physics Are familiar with computational methods such as numerical integration, differential equations, Monte Carlo simulations, or physical modeling Have coding experience in Python, MATLAB, C++, or similar languages, and are comfortable in a Linux terminal environment Understand core physics concepts (mechanics, electromagnetism, thermodynamics, wave dynamics, etc.) and can translate them into structured problem-solving tasks Are interested in AI agents and want to explore how they can interact with simulations, models, and physics solvers in terminal-based systems Can design step-by-step challenges where quantitative reasoning, code-based exploration, and scientific accuracy are required Primary Goal of This Role To design terminal bench–style tasks where autonomous agents are challenged to solve physics-based problems through code, simulations, and reasoning. These environments will test agent performance in areas like equation solving, unit conversion, modeling physical systems, and interpreting simulation outputs in a terminal context. What You’ll Do Build secure, sandboxed environments where agents interact with physics simulations or problem-solving tasks via the terminal. Design benchmarks that require agents to: Calculate physical quantities Run simple code-based simulations Solve real-world physics problems using appropriate equations and reasoning Collaborate with AI engineers to define task specifications, rewards, and difficulty levels. Create tasks that mimic real scientific computing workflows — e.g., modifying parameters, parsing output data, or debugging physical models. Develop tools for benchmark reproducibility, task evaluation, and automated resets. Scale challenges from basic mechanics problems to multi-step, interdisciplinary simulations. Why This Role Is Exciting Help shape a new class of agent benchmarks grounded in scientific reasoning Apply physics knowledge in a creative and technically deep setting involving simulation, automation, and AI Contribute to a high-autonomy team pushing the boundaries of agent performance in complex domains
Computational Physics Specialist - India [$10.5/hr] As referral partner we are posting for a Computational Physics Specialist to create terminal benchstyle problems and tasks involving agents within the physics domain, as part of a hiring effort for its AI lab partner building advanced agent-based infrastructure. This role is ideal for individuals with a strong foundation in physics and a working knowledge of programming who are excited to design real-world simulations and problem-solving environments. You will be building terminal-based benchmarks where agents are tested on their ability to reason through and solve physics-based challenges using code, commands, and logic all within a realistic terminal interface. You're a great fit if you: Have a background in Physics, Applied Physics, or Engineering Physics Are familiar with computational methods such as numerical integration, differential equations, Monte Carlo simulations, or physical modeling Have coding experience in Python, MATLAB, C++, or similar languages, and are comfortable in a Linux terminal environment Understand core physics concepts (mechanics, electromagnetism, thermodynamics, wave dynamics, etc.) and can translate them into structured problem-solving tasks Are interested in AI agents and want to explore how they can interact with simulations, models, and physics solvers in terminal-based systems Can design step-by-step challenges where quantitative reasoning, code-based exploration, and scientific accuracy are required Primary Goal of This Role To design terminal benchstyle tasks where autonomous agents are challenged to solve physics-based problems through code, simulations, and reasoning. These environments will test agent performance in areas like equation solving, unit conversion, modeling physical systems, and interpreting simulation outputs in a terminal context. What You'll Do Build secure, sandboxed environments where agents interact with physics simulations or problem-solving tasks via the terminal. Design benchmarks that require agents to: Calculate physical quantities Run simple code-based simulations Solve real-world physics problems using appropriate equations and reasoning Collaborate with AI engineers to define task specifications, rewards, and difficulty levels. Create tasks that mimic real scientific computing workflows e.g., modifying parameters, parsing output data, or debugging physical models. Develop tools for benchmark reproducibility, task evaluation, and automated resets. Scale challenges from basic mechanics problems to multi-step, interdisciplinary simulations. Why This Role Is Exciting Help shape a new class of agent benchmarks grounded in scientific reasoning Apply physics knowledge in a creative and technically deep setting involving simulation, automation, and AI Contribute to a high-autonomy team pushing the boundaries of agent performance in complex domains
Physics Labeling expert - India [$20-$30/hr] As referral partner, we are posting for 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. 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 Fundamental & Theoretical Physics: Theoretical Mechanics, Theoretical Optics, Thermodynamics, Statistical Mechanics, Fluid Physics Modern & Applied Physics: Electromagnetism and Photonics, Optics and Acoustics, Atomic and Molecular Physics, Solid State Physics, Semiconductor Physics, Biophysics Space & Cosmological Sciences: Astrophysics and Cosmology Engineering Disciplines & Control Systems: 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 (candidate/recipient) or Masters 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 Role Details Part-time (20 hours/week) Remote and asynchronous work environment Flexible schedule to accommodate global contributors
Competition-Level Math Evaluator - India [$20-$35/hr] As referral partner, we are posting for 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 810 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 (1020 hours/week) with flexible scheduling. 100% remote and asynchronous work from anywhere, anytime.
Student - India [$20-$30/hr] As referral partner, we are posting to seek talented students in India to support a leading AI lab’s evaluation and research workflows. Freelancers will assess outputs from large language models (LLMs) and contribute to improving system quality. This is an ideal opportunity for students to gain hands-on experience with AI tools in a flexible, part-time capacity. The engagement is expected to be short-term with potential for extension based on project needs. Key Responsibilities Evaluate AI-generated outputs for accuracy, clarity, and relevance Use prompts and feedback loops to assess model behavior Complete structured review tasks and provide quality assessments Follow detailed guidelines and collaborate asynchronously with project leads Ideal Qualifications Current student (undergraduate or Master’s) at an accredited Indian university Strong written and verbal communication skills in English Demonstrated experience using AI tools or large language models (e.g., ChatGPT, Claude, Gemini) Comfort working independently and managing flexible tasks with minimal supervision More About the Opportunity Remote and asynchronous — freelancers set their own hours Estimated 5–10 hours of work per week Project-based contract with ongoing task availability depending on performance Application Process Submit your resume and brief overview of your experience with AI tools Candidates may be asked to complete a short evaluation task Expect to hear back within 5–7 business days