Research Scientist (Remote/US/LATAM)
Anyone AI keeps this listing open to build a pool of candidates. Applying puts you in the pool; it is not a single fresh opening.
Anyone AI Labs
Reports to: CEO · Remote / LatAm / US
The role Evaluation is one of the hardest open problems in AI: we still don't have reliable ways to measure what frontier models can and can't do, and the field mostly runs on benchmarks that are saturated, contaminated, or measuring the wrong thing. You'll own that problem at Anyone AI, measuring frontier model capability.
This is a research role at heart: you decide what a good evaluation is , design the benchmarks that prove it, and defend the methodology under lab scrutiny. You'll build frontier-grade evaluation packages across reasoning, coding, agents, tool use, and multi-modal — grounded in expert-verified truth, validated against multiple models, and QC'd to survive buyer-side review.
Responsibilities
● Evaluation research. Turn eval targets into original benchmark designs. Own the hard measurement questions: construct validity, item discrimination, headroom, reliability, contamination, and capability elicitation. Push toward evals that stay informative as models improve.
● Benchmark development. Build evaluation packages with subject-matter experts, each with expert-verified ground truth, multi-model headroom results, and rigorous QC (calibration layers, severity-weighted rubrics, deterministic verifiers).
● Experts. Recruit, calibrate, and review a pool across coding, agentic/tool-use, and STEM/reasoning. Be the final arbiter of correctness and frontier difficulty.
