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LLM Annotator - Master's Degree

per hour
Contractor Remote Last verified 21 Jul 2026
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About the Role

We are seeking highly motivated Team Management 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.

What You'll Do

  • 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.

You're a Good Fit If You

  • Required skills: Team Management
  • 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.
  • 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.).

Role Highlights

Pay
Pay varies
Contract
Contractor
Location
Remote
Category
Data annotation
Posted
2 days ago
Job ID
WE-7969

Pay & Payout

Independent contractor engagement through Turing. Apply via the link below - Turing handles vetting, onboarding and payment.

Common Questions

Turing has a reliability rating of very reliable based on the listings we track, with an onboarding time of 5-14 days. See our full Turing review for the details behind that rating.

Applying takes you to Turing's own website, where the application is completed. We are not a recruiter or employer and do not process applications directly - we may be recorded as the referring source.

Pay varies - Independent contractor engagement through Turing. Apply via the link below - Turing handles vetting, onboarding and payment.

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.

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