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LLM Annotator - Master's Degree

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13 Oct 2026Open––Script, platform’s board

The script reads the platform’s own job board every night. A job not confirmed for 10 days comes off the list.

Most people who don't get in fail the screening, not the CV. Five minutes here first: How to pass the Turing assessment and interviews.

What the work is

Role Overview

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.

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.

Who gets hired

  • 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.

The platform posted this on 12 Oct 2026.

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