AI Evaluation Specialist - Remote

YO AI Labs

  • Los Angeles, CA
  • 18 days ago
  • Remote

    Highlights

    We are seeking experienced AI Evaluation Specialists to assess and improve the quality of AI assistant outputs for an enterprise AI training project. Evaluate AI-generated outputs against detailed rubrics for accuracy, relevance, quality, and adherence to guidelines.

    Numbers & Facts

    LocationLos Angeles, CA (
    Remote
    )

    Description

    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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