Turing
TuringVerified listing

AI Benchmark & Red-Teaming Specialist

Remote
contract
Posted October 20, 2026
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Listing checked October 20, 2026 · details as published by Turing

Key details

Pay
Not published
Location
Remote
Job type
contract
Posted
October 20, 2026

Overview

Turing seeks a researcher who can turn obscure, hard-to-find facts into benchmark tasks that expose real weaknesses in frontier models like Claude Opus 5 Max. You will design web-research challenges, run them against leading LLMs, and trace search trajectories to pinpoint where reasoning breaks down. This contractor role shapes AI evaluation frameworks so next-generation models face rigorous, real-world research scenarios. The engagement lasts up to 4 weeks with up to 40 hours per week and 4 hours of PST overlap.

What You'll Do8

  • Investigate niche subjects to surface ground-truth facts that simple search queries cannot reach.
  • Verify each fact against primary or highly credible sources, note conflicting evidence, and record exact source URLs.
  • Draft clear, unambiguous benchmark prompts built to expose structural gaps in how models research.
  • Run tasks against designated SOTA models to confirm they trigger the intended failures.
  • Review model run logs, search logs, and intermediate outputs to diagnose the root cause of each failure.
  • Separate genuine model limitations from vague or ambiguous task wording.
  • Apply validated model-breaking research patterns to new domains.
  • Review benchmark tasks authored by peer trainers when performance warrants.

Requirements10

  • At least 1 year of experience in investigative research, fact-checking, AI benchmark task authoring, red-teaming, or technical QA review.
  • Hands-on experience authoring, testing, or reviewing tasks for benchmarks such as GAIA, BrowseComp, SimpleQA, SWE-bench, Terminal-Bench, or Humanity’s Last Exam (HLE).
  • Intermediate-to-advanced web search and OSINT skills, including comfort with academic archives, local records, and obscure databases.
  • Ability to inspect model reasoning chains, search logs, and source selection to find failure root causes.
  • Precision writing: clear, unambiguous prompts backed by primary-sourced answer keys.
  • Bachelor's degree or higher in a relevant engineering domain.
  • Preferred: experience designing prompt-injection or reasoning-trap tasks that break SOTA models.
  • Preferred: advanced OSINT practice or published investigative/academic research with deep source verification.
  • Preferred: niche expertise in record-rich fields such as local government filings, regional sports history, legal archives, or historical patents.
  • Preferred: prior lead reviewer, benchmark auditor, or quality owner role on AI evaluation projects.

Who Should Apply

Candidates with at least a year in investigative research, fact-checking, or AI benchmark authoring and a bachelor's degree in engineering. The role suits someone who knows benchmarks like GAIA or BrowseComp, works comfortably with OSINT and obscure databases, and can write precise prompts with primary-sourced answer keys. Prior red-teaming or prompt-injection task design is a plus.

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Required skills

LLMRed TeamingAI BenchmarkingGaiaBrowsecompSimpleqaSwe BenchTerminal BenchHumanity's Last ExamOsintWeb ResearchFact CheckingSource VerificationPrompt EngineeringPrompt InjectionModel EvaluationQa ReviewQuality ManagementReasoning AnalysisDebuggingTechnical WritingQa

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