AI QA Trainer Freelancer

New

Skills

Analytical Thinking Data Annotation QA Quality Assurance

Join an innovative remote project where your analytical skills and expertise shape the next generation of AI. As an AI /LLM Trainer and QA Freelancer, you will contribute to advancing autonomous AI agents by validating complex task structures, improving policy logic, and ensuring agent evaluation frameworks are robust and reliable. This flexible, project-based opportunity is ideal for intellectually curious professionals, students, and consultants looking to make an impact while working asynchronously.

Job Overview
  • Flexible, remote, freelance position with over 100 openings.
  • Participate in advanced AI projects focused on quality assurance and evaluation of autonomous agents.
  • Collaborate with a global network of experts through the Mindrift platform.
Key Responsibilities
  • Review evaluation tasks and scenarios for logical consistency, completeness, and realism.
  • Identify inconsistencies, missing assumptions, and unclear decision points in AI agent tasks.
  • Define clear expected behaviors and gold standards for agent performance.
  • Annotate cause-effect relationships, reasoning paths, and plausible alternatives in complex systems.
  • Work closely with QA, writers, and developers to suggest refinements and improve edge case coverage.
Required Skills & Qualifications
  • Excellent analytical and critical thinking skills to reason about complex systems.
  • Strong attention to detail to spot contradictions, ambiguities, and vague requirements.
  • Familiarity with structured data formats such as JSON or YAML (read-only).
  • Ability to assess scenarios holistically and identify missing or unrealistic elements.
  • Clear written communication in English to document findings and recommendations.
  • Experience with policy evaluation, logic puzzles, case studies, or scenario design is a plus.
  • Background in consulting, academia, olympiads (logic/math/informatics), or research preferred.
  • Exposure to LLMs, prompt engineering, or AI-generated content is valued.
  • QA or test-case thinking, including edge cases and failure modes, is beneficial.
  • Understanding of agent testing evaluation metrics such as precision and coverage is advantageous.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: 12 Months

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