Humanities Expert – AI Training Data Reviewer

Job Description

Turing is hiring Humanities Experts to help review and evaluate data used to train advanced AI systems.

You’ll apply your academic or professional expertise to assess AI-generated questions and answers across humanities disciplines, checking them for accuracy, relevance, clarity, completeness, reasoning quality, and overall reliability.

This opportunity is suitable for experienced professionals across a wide range of humanities and related disciplines.

Relevant Fields

Applicants may have expertise in areas including:

• History
• Philosophy
• Literature
• Linguistics
• Languages
• Cultural Studies
• Sociology
• Anthropology
• Political Science
• Religious Studies
• Arts & Humanities
• Related disciplines

What You’ll Do

• Review questions and answers covering different humanities subjects.
• Evaluate AI-generated content for factual accuracy, relevance, clarity, and completeness.
• Assess the logical consistency and reasoning quality of responses.
• Identify factual errors, misleading statements, ambiguities, and gaps in reasoning.
• Apply subject-matter expertise when evaluating nuanced or complex topics.
• Determine whether responses properly address the questions being asked.
• Follow established evaluation guidelines and quality standards.
• Work across different humanities disciplines while maintaining consistent evaluation quality.
• Contribute to AI training data generation, annotation, and evaluation.
• Help improve datasets used to train and evaluate AI models.

Requirements

• 5+ years of relevant experience.
• Bachelor’s degree or equivalent professional/academic expertise in a humanities-related discipline.
• Strong subject-matter knowledge within the humanities.
• Excellent critical thinking and analytical reasoning skills.
• Strong written English and reading comprehension.
• Ability to identify subtle factual, contextual, and logical issues.
• Ability to objectively distinguish between high- and low-quality written responses.
• Familiarity with AI training, data annotation, evaluation, or related workflows.
• Ability to follow detailed guidelines and apply evaluation criteria consistently.
• Comfortable working independently in a remote environment.

Preferred Experience

Previous experience in AI evaluation, data annotation, content review, quality assurance, or a similar analytical role is preferred but not required.

Evaluation Process

1. Shortlisted candidates will receive a Job Interest Form.
2. Final selected candidates will be contacted with onboarding instructions and next steps.