LLM Annotator - Master's Degree
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 highly motivated LLM Annotators to support the evaluation and improvement of cutting-edge Large Language Models (LLMs). In this role, you will analyze structured data, create challenging prompts, evaluate AI-generated responses for factual accuracy and reasoning quality, and provide evidence-backed feedback to improve model performance.
We are looking for curious, detail-oriented professionals who enjoy solving complex problems and evaluating AI systems. The ideal candidate can analyze data, think critically, validate responses against evidence, and clearly articulate why a model's output is correct or incorrect. Experience working with AI models and creating challenging evaluation prompts is a strong advantage.
Key Responsibilities
- Create challenging prompts that evaluate an LLM's ability to retrieve, analyze, and reason over structured data.
- Assess AI-generated responses for factual accuracy, logical reasoning, and completeness.
- Identify model failures, inconsistencies, hallucinations, and reasoning gaps.
- Validate model outputs using provided datasets and supporting evidence.
- Document findings with clear, evidence-based explanations.
- Consistently follow annotation guidelines and maintain high-quality standards.
Minimum Qualifications
- Master's degree or higher in any discipline.
- Minimum 3 years of professional, research, or teaching experience.
- Strong analytical and critical thinking skills.
- Excellent written English communication skills.
- Exceptional attention to detail and ability to validate information against source data.
Preferred Qualifications - Experience working with Large Language Models (LLMs) or Generative AI.
- Familiarity with prompt engineering, AI evaluation, data annotation, or model testing.
- Experience working with structured datasets (CSV, Excel, databases, etc.).
- Ability to identify edge cases and design prompts that expose model limitations.
Benefits - Opportunity to work on cutting-edge AI projects.
- Competitive compensation.
- Flexible working hours and remote work environment.
Offer Details
- Commitments Required: 40, 30 or 20 hours per week with at least 4 hours PST overlap
- Employment type: Contractor assignment (no medical/paid leave)
- Duration of contract: 4 weeks
Evaluation Process: - Shortlisting based on qualifications and assessment scores.
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 LLM Annotator - Master's Degree role pay?
Turing does not publish a pay rate for this LLM Annotator - Master's Degree position. Pay is shared during the application process and depends on your experience and the scope of the work.
Is the LLM Annotator - Master's Degree role remote, and can I work from home?
Yes. Turing lists this LLM Annotator - Master's Degree position as fully remote, so you can work from home or anywhere with a reliable computer and internet connection.
Is LLM Annotator - Master's Degree 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 LLM Annotator - Master's Degree?
Turing lists this role with no country restriction. Check the Turing listing for current requirements before applying.
Do I need experience to apply for LLM Annotator - Master's Degree?
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 LLM Annotator - Master's Degree 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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