Lead a pod of trainers building terminal-based chemistry tasks for Terminal Bench Science: review tasks end to end for chemical correctness, reproducibility, safety and grader reliability (units, convergence, stereochemistry, force fields), and coach trainers.
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.