AI Benchmark & Red-Teaming Specialist
About this role
About Turing:
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.
Role Overview
We are seeking an analytical researcher and red-teaming specialist to build evidence-based web-research benchmark tasks that reliably expose weaknesses in state-of-the-art (SOTA) AI models (e.g., Claude Opus 5 Max). In this role, you will discover hard-to-surface facts, build precise research tasks around them, test them directly against leading LLMs, and diagnose the exact failure mechanisms in the model's search and reasoning paths.
Your work will directly shape AI evaluation frameworks, ensuring next-generation frontier models are tested against rigorous, non-trivial real-world research scenarios.
Job Requirements:
- Core Experience: 1+ years in investigative research, fact-checking, AI benchmark task authoring, red-teaming, or technical QA review.
- Benchmark Familiarity: Proven experience authoring, testing, or reviewing tasks for AI benchmarks such as GAIA, BrowseComp, SimpleQA, SWE-bench, Terminal-Bench, or Humanity’s Last Exam (HLE).
- Analytical & OSINT Skills: Intermediate-to-advanced web search and Open Source Intelligence (OSINT) skills; ability to navigate academic archives, local records, or obscure databases.
- Model Trajectory Debugging: Strong analytical capability to inspect model reasoning chains, search logs, and source selection to diagnose root causes of failure.
- Precision Writing: Ability to author clear, unambiguous benchmark prompts with bulletproof, primary-sourced answer keys.
Job Responsibilities:
- Obscure Fact Discovery: Deeply research niche topics to identify factual ground truths that cannot be surfaced via simple, direct search queries.
- Source Verification: Rigorously verify facts against primary or highly credible sources, cross-check for contradictory evidence, and document exact source URLs.
- Task Construction: Draft clear, answerable benchmark tasks designed specifically to expose structural weaknesses in model research strategies.
- Red-Teaming & Model Testing: Execute tasks against designated SOTA models to confirm they reliably trigger intended model failures.
- Failure Diagnosis & Debugging: Trace model run logs, search trajectories, and intermediate outputs to pinpoint exactly where and why the model failed (distinguishing genuine model limitations from ambiguous prompts).
- Pattern Scaling & Review: Apply validated "model-breaking" research patterns across new domains and, for strong performers, review tasks authored by peer trainers.
Strong Plus (Preferred Qualifications) - Bachelor or higher degree from relevant engineering domain is a must for this position.
- Prior experience specifically designing prompt-injection or reasoning-trap tasks that break SOTA models.
- Advanced OSINT capabilities or published investigative/academic research demonstrating deep source verification.
- Niche domain expertise in areas rich with hard-to-find records (e.g., local government filings, regional sports history, legal archives, historical patents).
- Experience serving as a lead reviewer, benchmark auditor, or quality owner on AI evaluation projects.
Offer Details:
- Commitments Required: Upto 40 hours per week with 4 hours of overlap with PST.
- Engagement type: Contractor
- Engagement Length: upto 4 weeks
Evaluation Process -
- Candidates will be require to submit a Job Interest Form & assessment.
- Talents finalized in assessment will go through assessment, review & will proceed further accordingly.
Key skills
Details
- Pay: Shared during the application process
- Company: Turing
- Location: Remote
- Eligible locations: Worldwide (no restriction)
- Platform: Turing
Frequently asked questions
How much does the AI Benchmark & Red-Teaming Specialist role pay?
Turing does not publish a pay rate for this AI Benchmark & Red-Teaming Specialist position. Pay is shared during the application process and depends on your experience and the scope of the work.
Is the AI Benchmark & Red-Teaming Specialist role remote, and can I work from home?
Yes. Turing lists this AI Benchmark & Red-Teaming Specialist position as fully remote, so you can work from home or anywhere with a reliable computer and internet connection.
Is AI Benchmark & Red-Teaming Specialist full time or part time?
Turing lists this as a contractor remote role. Full details are in the role description above.
Which countries can apply for AI Benchmark & Red-Teaming Specialist?
Turing lists this role with no country restriction. Check the Turing listing for current requirements before applying.
Do I need experience to apply for AI Benchmark & Red-Teaming Specialist?
The requirements are listed in the role description above. Turing screens applicants through its own process, and relevant skills or credentials strengthen your application.
How do I apply for the AI Benchmark & Red-Teaming Specialist role, and is it legit?
Use the apply button on this page to go straight to the official Turing listing. Turing is a real hiring marketplace and applying is free. No legitimate employer charges you to apply.
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