Remote contract work for data science and analytic methodology experts on an AI training project: author analytic cases on LLM pipelines and analysis at scale, grade model responses and flag over-refusals. No prior AI experience is required.
Remote contract work for mathematicians on an AI training project: create, solve and validate advanced mathematical and computational problems using Python and command-line tools. About 15 hours a week, flexible schedule.
Part-time remote work (20 hours a week on weekdays) with a leading AI lab’s research team: design hard biology tasks and benchmarks on cloning, CRISPR design, functional genomics and cell-based assays, write reference solutions and evaluate AI models’ reasoning.
Part-time remote work (20 hours a week) with a leading AI lab’s research team: design chemistry tasks and benchmarks on route design, reaction optimization and spectroscopic characterization, write reference solutions and evaluate AI models’ chemical reasoning.
Remote, asynchronous AI research work for physicists: write or verify rigorous multiple-choice questions with step-by-step solutions and references in fields such as semiconductors, photonics, quantum optics, plasma physics and geophysics. 10+ hours a week.
Lead a pod of trainers building terminal-based physics tasks for Terminal Bench Science: review every task end to end (datasets, simulation inputs, environments, reference solutions, automated tests) for physical correctness, reproducibility and grader reliability, and coach trainers.
Lead a pod of 5–10 trainers building terminal-based mathematical tasks for Terminal Bench Science: review problem statements, environments, reference solutions and automated tests for correctness, stability and reproducibility, design graders and mentor trainers.
Five-week contract for computational life science experts: design realistic multi-step agentic workflows where AI agents analyse scientific data, write and run code and produce verifiable results, with reproducible expert solutions and grading criteria. At least 6 hours a day and 40 hours a week, with 4 hours’ overlap with U.S. Pacific time.
Part-time remote work (20 hours a week) with a leading AI lab’s research team: design drug discovery tasks and benchmarks on mechanism of action, ADME/Tox and PK/PD, write reference solutions and evaluate AI models’ scientific reasoning.
Flexible remote contract (about 15 hours per week) for life sciences researchers who code: create, solve and review challenging biology research problems, analyze scientific data in Python, validate computational results and find errors in technical reasoning or code used to evaluate AI systems.