The Work
You will review AI-generated questions and answers across a broad range of humanities subjects. Your evaluations will help create and improve datasets used to train and assess AI models.
• Review content covering history, philosophy, literature, linguistics, languages, cultural studies, sociology, anthropology, political science, religious studies, and related fields.
• Assess answers for factual accuracy, relevance, clarity, completeness, and logical consistency.
• Identify factual errors, misleading statements, missing reasoning, unclear claims, gaps in logic, and ambiguities.
• Decide whether responses properly answer the question and meet the required quality standards.
• Apply detailed evaluation guidelines consistently and provide clear written assessments.
• Contribute to AI training data generation, annotation, evaluation, and quality review.
What It Pays and Takes
The listing does not provide a pay rate. This is a contractor engagement with a four-week schedule.
• Pay: Not provided in the listing.
• Schedule: 40 hours per week for four weeks, including four hours of overlap with Pacific Standard Time.
• Structured time requirement: 20 or more hours per week.
• Location: Remote and open worldwide.
• Language: Strong English reading and writing skills required.
• Education: A bachelor's degree or equivalent professional or academic expertise in a humanities-related field.
• Experience: At least five years of relevant experience.
• Skills: Humanities knowledge, critical thinking, analytical reasoning, written communication, objectivity, and close attention to detail.
• Work style: Ability to work independently in a remote setting.
• Helpful background: AI evaluation, data annotation, content review, quality assurance, or related analytical work.
How It Works
Apply on OpenTrain with your resume and then complete the application on the hiring site.
About AI Training Work
OpenTrain is the hiring and contracting organization for this role. AI training work uses human review of written content and other data to help improve how AI systems answer questions, follow instructions, and handle complex subjects.