
AI Benchmark & Red-Teaming Specialist
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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