TuringData annotation
LLM Annotator - Master's Degree
Pay not published
About this role, in Turing's words
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.
What you'll do
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.
Show all 6 itemsHide the other 3 in Key Responsibilities
- 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.
Candidate background
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
Show all 4 itemsHide these 4 items in 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.
Quoted from selected sections of Turing's posting. The full posting may state other conditions. Read the full posting
A closer look
More context, when you need it.
Full job descriptionThe original posting, in Turing's words
Posted by Turing, reproduced here so you can judge the role before clicking. Original posting ↗
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.
Working with TuringPay, getting started and work, from Turing's own pages
What the platform publishes in general. These are not extra terms confirmed for this particular role.
- Getting paid
- Paid monthly, around the 5th, straight to your bank account, or inside Deel on projects run through Deel. Its help articles disagree on whether that is the 5th calendar day or business day. help.turing.com/articles/9691407757-project-onboarding, help.turing.com/articles/6582454854-what-if-i-haven-t-rec..., help.turing.com/articles/1226770947-project-offboarding
- Before your first paid task
- A short application, with tests on some roles. Turing's review article says an interview is typically required for all roles. Onboarding covers the terms, ID verification with a driver's license or passport, and tax and payment details. help.turing.com/articles/2020987592-apply-for-jobs-at-turing, help.turing.com/articles/9179629201-how-long-does-the-app..., help.turing.com/articles/9691407757-project-onboarding
- How much work
- Review takes from 48 hours to 6 weeks after you finish applying, and the client makes the final choice. No reply within 6 weeks usually means you were not selected. help.turing.com/articles/9179629201-how-long-does-the-app..., help.turing.com/articles/2020987592-apply-for-jobs-at-turing
- Contract
- Depending on the project, the engagement rests on Turing's Terms of Service and a Service Agreement, on Deel, or on a partner that provides the contract. help.turing.com/articles/6582454854-what-if-i-haven-t-rec...
Read on the pages linked above on 23 Sep 2026. Platforms change these terms, so check the linked page before you rely on one.
How does the pay compare?Across Data annotation roles, not this role alone
From our own daily reads of every open listing on the platforms we follow, not from Turing's posting. How we count.
Pay across the field: Data annotation
Across 59 roles in this field with a stated hourly rate in US dollars, on 10 platforms, the middle half pays $15 to $50 an hour at the top of the range, and the median is $25.
| Platform | Roles | Top of range, per hour |
|---|---|---|
| Claru | 27 | $10 to $100 · median $28 |
| micro1 | 14 | $10 to $80 · median $15 |
| Alignerr | 7 | $24 to $120 |
| Grayder | 3 | $45 to $100 |
| Mercor | 2 | $50 to $65 |
Sources and listing historyWhere this information comes from
This listing's history
- First seen here on 19 Sep 2026, and still on Turing's list when we last read it on 13 Oct 2026.
- Posted by Turing
- First seen by AIPayList
- Last seen live
- Listing ID
- 106222
Turing posts this role once per country: 2 listings with the same title and pay. We treat them as one role, open in 0 countries.
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