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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 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.

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: Prompt Engineering, Teaching, Data Analysis
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.).

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Role Highlights

Pay

Pay varies

Contract

Contractor

Location

Remote

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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