AI Evaluator / Reviewer Job Description

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What does an AI Evaluator / Reviewer do?

The AI Evaluator and Reviewer is responsible for assessing the quality, safety, and alignment of AI model outputs. This role provides structured human feedback that drives model improvement through evaluation workflows, red-teaming exercises, and quality assurance processes.

Free AI Evaluator / Reviewer Job Description Template

Free AI Evaluator / Reviewer Job Description Template

اكتب توصيفات وظيفية فعالة في دقائق باستخدام قوالبنا المجانية المصممة لجذب أفضل المواهب.
قوالب مصممة باحتراف
قابل للتحرير وسهل التخصيص
ثبت أنه يوفر الوقت

What are the Key Responsibilities of AI Evaluator / Reviewer

  • Evaluate AI model outputs against defined quality, accuracy, safety, and helpfulness criteria.
  • Rank and rate model responses to support RLHF and preference modeling workflows.
  • Conduct adversarial testing and red-teaming to identify model failure modes and safety risks.
  • Document evaluation findings and provide actionable feedback to ML and research teams.
  • Apply and refine evaluation rubrics and guidelines for consistency across reviewer pools.
  • Participate in calibration sessions to ensure alignment with team evaluation standards.

What are the Skills and Requirements for an AI Evaluator / Reviewer?

  • Strong critical thinking and analytical skills with the ability to apply nuanced judgment.
  • Excellent written communication for articulating evaluation rationale clearly.
  • Familiarity with AI safety, alignment concepts, and responsible AI principles.
  • Domain expertise in one or more areas (e.g., code, science, law, medicine) is highly valued.

What are the KPIs to track for AI Evaluator / Reviewer?

Performance is measured by evaluation accuracy against gold standards, consistency scores, feedback quality ratings, and throughput against productivity benchmarks.
Evaluation Accuracy
Alignment of evaluations with gold-standard or expert-reviewed benchmarks.
Consistency Score
Inter-rater reliability when evaluated against peer reviewer scores.
Feedback Quality
Qualitative rating of written feedback by ML and research teams.
تقارير إلى
AI Quality Lead / Head of AI Evaluation
يتعاون مع
AI Trainers, ML Engineers, AI Researchers, Policy Teams
يؤدي

Are any specific tools or software required for the AI Evaluator / Reviewer role?

  • Internal evaluation platforms
  • Scale AI
  • Surge AI
  • Spreadsheet tools

What is the qualification of AI Evaluator / Reviewer?

Bachelor's degree in any field; strong analytical and writing skills. Background in AI, linguistics, policy, or a technical domain is a significant advantage.

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توصيات المرشحين المدعومة بالذكاء الاصطناعي
الوصول إلى ملفات التعريف التي تم فحصها مسبقًا
قم بالتوظيف بشكل أسرع وأكثر ذكاءً

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احجز نسخة تجريبية
هل تحتاج إلى المزيد من موارد الموارد البشرية؟
استكشف قوالبنا الجاهزة للاستخدام!