Artificial Analysis, Inc.

Artificial Analysis, Inc.

Member of Technical Staff (Language Model Evaluations)

San Francisco (On-site) · Staff+

Sponsorship not specifiedDetected 86 days ago
PythonGitMachine LearningData VisualizationNLPLLMsResearchCollaborationCritical Thinking

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odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Files H-1B transfers

1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 5 days. An employer that already files transfers is one that can take over an existing H-1B.

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About the role

  • Language model evaluation is the sharpest question in AI: what can these systems actually do?
  • Our answers, from the Artificial Analysis Intelligence Index to AA-Omniscience, AA-Briefcase and our coding agent evaluations, are the reference the industry uses.
  • You will run your work across every major model as it releases and publish results the whole industry reads.

Responsibilities

  • Design Next-Generation Frontier Evals: Conceive and ship the next generation of frontier evaluations, like AA-Briefcase and AA-Omniscience, across reasoning, knowledge, coding, agentic capability and beyond
  • Build Evaluation Datasets and Infrastructure: Construct the datasets, harnesses and scoring systems behind our benchmarks, engineered for contamination resistance and repeatability at frontier scale
  • Shape the Future Intelligence Index: The evaluations you build will contribute to future versions of the Artificial Analysis Intelligence Index and other areas of our platform, defining how the industry measures frontier capability
  • our commercial team owns client relationships day to day, so your time stays on the science
  • Evaluate Every Major Model: Run our evaluation suite across frontier releases as they land, and own the integrity of the results the industry quotes
  • Become AI-Native: Embrace an AI-native workflow, using cutting-edge AI tools to generate leverage in a fast-changing industry and maintain our competitive edge in AI benchmarking

Requirements

  • You have deep, hands-on experience evaluating language models and strong opinions about why most benchmarks fail.
  • 3+ years of relevant professional experience, across industry or research
  • Strong statistical grounding: you know when a result is signal and when it is noise
  • Genuine, demonstrable interest and knowledge of Frontier AI.

Compensation

  • Competitive compensation including equity

Company info

  • We are the go-to authority for understanding AI, from AI labs and enterprises to media, investors, and policymakers.
  • What We're Looking For

This listing is sourced directly from Artificial Analysis, Inc.'s careers page and normalized into a canonical job model.