π AI Benchmark & Red-Teaming Specialist
π AI Benchmark & Red-Teaming Specialist – Remote AI Job at Turing
π Remote Job | π§ AI Research | π Contractor | ⏳ Up to 4 Weeks
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Meta Description: Explore Turing’s remote AI Benchmark & Red-Teaming Specialist opportunity. Learn about AI evaluation, OSINT research, LLM testing, benchmark development, and job requirements.
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π About the Job
Turing is seeking an analytical researcher and red-teaming specialist to help evaluate advanced Artificial Intelligence (AI) models.
In this remote contractor role, you will conduct detailed web research, verify hard-to-find facts, create challenging AI benchmark tasks, and test leading Large Language Models (LLMs) to identify weaknesses in their research and reasoning capabilities.
Your work will help improve AI evaluation frameworks by developing reliable tests based on real-world research challenges.
This opportunity is best suited to candidates with experience in investigative research, AI benchmark development, fact-checking, Open Source Intelligence (OSINT), or technical quality assurance.
π Job Details
- π’ Company: Turing
- πΌ Job Title: AI Benchmark & Red-Teaming Specialist
- π Workplace: Remote
- π§ Field: Artificial Intelligence and Research
- π Engagement Type: Contractor
- ⏳ Engagement Length: Up to 4 weeks
- π Commitment: Up to 40 hours per week
- πΊπΈ Time-Zone Requirement: 4 hours of overlap with Pacific Standard Time (PST), as stated in the listing
- π― Selection Process: Job interest form and assessment
- π΅ Referral Information: The supplied listing displays a referral bonus, which is not the job's salary.
π― Key Responsibilities
Selected candidates may be responsible for the following tasks:
- π Investigative Research: Discover difficult-to-find facts using advanced web searches, academic archives, local records, and specialized databases.
- π Source Verification: Verify facts using primary sources and credible references, cross-check contradictory evidence, and document exact source URLs.
- ✍️ Benchmark Task Creation: Write clear, precise research prompts designed to test the limits of advanced AI models.
- π€ AI Model Testing: Run benchmark tasks against designated leading LLMs to confirm whether the tasks expose the intended weaknesses.
- π§© Failure Analysis: Examine search logs, source selection, and intermediate outputs to identify why an AI model failed.
- π‘️ Red-Teaming: Develop challenging scenarios that reveal weaknesses in AI research and reasoning.
- π Quality Review: Improve validated benchmark patterns and review tasks created by other contributors when assigned.
π ️ Required Skills
Applicants should have relevant experience or knowledge in the following areas:
- π€ Large Language Models (LLMs)
- π Investigative research and fact-checking
- π Advanced web research and OSINT
- π§ͺ AI benchmark testing and evaluation
- π Quality assurance (QA) and quality management
- π Primary-source verification
- ✍️ Technical writing and prompt development
- π§© Analytical reasoning and failure diagnosis
- π» Reviewing model outputs, search logs, and research workflows
π Job Requirements
According to the supplied job description, candidates should meet these requirements:
- At least 1 year of relevant experience in investigative research, fact-checking, AI benchmark task authoring, red-teaming, or technical QA review.
- Experience authoring, testing, or reviewing AI benchmark tasks.
- Familiarity with benchmarks such as GAIA, BrowseComp, SimpleQA, SWE-bench, Terminal-Bench, or Humanity’s Last Exam (HLE).
- Intermediate-to-advanced web search and OSINT skills.
- Ability to investigate obscure facts and verify them against reliable sources.
- Strong analytical skills to identify the causes of AI model failures.
- Ability to write clear benchmark prompts with accurate, well-supported answer keys.
⭐ Preferred Qualifications
The listing identifies these additional qualifications as a strong plus:
- A bachelor's degree or higher in a relevant engineering field; the description states this is a must.
- Experience creating prompt-injection or reasoning-trap tasks.
- Advanced OSINT capabilities.
- Published investigative or academic research demonstrating detailed source verification.
- Expertise in specialized areas such as legal archives, historical patents, local government records, or regional sports history.
- Experience as a lead reviewer, benchmark auditor, or quality owner for AI evaluation projects.
Important: The degree requirement is emphasized in the supplied description. Applicants should confirm the exact eligibility criteria with Turing before applying.
⏰ Working Hours and Contract Duration
- π Work commitment: Up to 40 hours per week.
- π Time-zone overlap: Four hours with PST, according to the listing.
- π
Contract duration: Up to four weeks.
- π Engagement: Contractor.
The listing does not specify a salary or hourly pay rate. Confirm the compensation, payment terms, and exact project dates during the application process.
π Application and Evaluation Process
Candidates are required to complete the following steps:
1. Open the official job listing and review the eligibility criteria.
2. Submit the Job Interest Form.
3. Complete the required assessment.
4. Wait for the assessment and application review.
5. Candidates who pass the evaluation may proceed to the next stage.
Selection is not guaranteed, and applicants should follow the instructions provided by Turing.
π Remote Work Eligibility
Although the position is listed as remote, the supplied description does not confirm that applicants from every country are eligible.
Before applying, confirm:
- Whether applicants based in Pakistan are eligible.
- Whether your education and experience meet the requirements.
- Whether you can accommodate the required PST overlap.
- The compensation and contractor payment terms.
- The assessment deadline and contract availability.
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