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AI Evaluation Expert - Remote

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Remote

AI Evaluation Expert - Remote

YO IT Consulting

AI Evaluation Expert - Remote

Skills

Testing & QAAIProcess Improvement

1 month ago

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Important information


Contract type:

Permanent

Location:

United States

Work mode:

Remote

Published on:

19 September 2026

What they need


AI Evaluation Specialist

Role Type: Contractor

Location: Remote — US, Canada, UK, Ireland, Australia, New Zealand

We are seeking experienced AI Evaluation Specialists to assess and improve the quality of AI assistant outputs for an enterprise AI training project.

You’ll evaluate AI-generated responses using defined quality standards, identify issues, and provide clear feedback to help improve AI systems. No prior formal AI experience is required. Scope of Work

  • Evaluate AI-generated outputs against detailed rubrics for accuracy, relevance, quality, and adherence to guidelines.
  • Apply consistent and objective judgment across large volumes of examples.
  • Identify reasoning gaps, tool-use issues, logical errors, and inconsistencies.
  • Provide concise, actionable feedback highlighting strengths and areas for improvement.
  • Participate in discussions around rubric interpretation and evolving quality standards.
  • Contribute to process improvements and evaluation best practices.
  • Maintain accurate documentation of evaluations and recommendations.

Preferred Qualifications

  • Experience in grading, quality assurance, editorial review, assessment, annotation, or similar analytical work.
  • Advanced, daily use of AI assistants such as ChatGPT, Claude, or similar tools.
  • Strong ability to analyze complex information and communicate findings clearly in writing.
  • Experience with process improvement, rubric development, or quality assessment.
  • Strong critical-thinking skills with a focus on consistency, accuracy, and fairness.
  • Comfortable working independently on high-volume evaluation tasks.
  • Strong attention to detail and ability to identify subtle quality issues.
  • Collaborative approach to resolving ambiguous cases and improving evaluation criteria.

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