Posted Jul 9, 2026

Research Scientist (Remote/US/LATAM)

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This a Full Remote job, the offer is available from: United States, Latin America, United Kingdom, France, Uruguay, Brazil, Ecuador, Colombia, Argentina, Chile, Peru, Mexico, Delaware (USA) Research Scientist, Evaluations Anyone AI Labs — Human Data Division Reports to: CEO · Remote / LatAm / US The role You will own how Anyone AI measures 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 public benchmarks and eval targets into original evaluation designs. Own the hard questions: construct validity, discrimination, headroom, and contamination. • 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. • Lab relationships. Be a technical point of contact for labs, with CEO support. Understand what they're trying to measure and translate it into an evaluation design. • Delivery. Turn lab requests into winning sample packages, then own pilots end to end. Nothing ships before it's lab-ready. What we're looking for • Research background in ML evaluation or benchmarking — published/open benchmarks, eval research, or equivalent hands-on work labs relied on. • Deep LLM benchmarking expertise, with real strength in code-model evaluation. • Fluency with how frontier models are measured: rubrics, pass rates, headroom, contamination, and what makes a task discriminate a model. • Proven ability to hold a team or expert pool to a rigorous standard. • Fluent English. Spanish a nice to have. This offer from "Anyone AI" has been enriched by Jobgether.com and got a 77% flex score.