History Quality Assurance Lead (Contractor, US Remote)

About OpenTrain

OpenTrain is the #1 platform for people building careers in AI training and data labeling. We connect expert freelancers with project-based work that helps shape how modern AI systems learn, and we make it easy to track and grow your experience in this fast-growing field.

About AI Training Work

AI training (also called data labeling or annotation) is the human effort behind better AI: people evaluate model outputs, rate responses, and help models learn to reason, cite, and behave responsibly. This role focuses on the history domain, where subject-matter expertise ensures model answers are accurate, contextual, and evidence-based.

The Role

OpenTrain is hiring a History Quality Assurance Lead to review AI-generated history content and trainer QA work for accuracy, chronology, source awareness, context, clarity, and rubric adherence. This contractor position combines close content review with documentation, onboarding support, and quality process improvements across remote expert teams.

What You’ll Do

• Review history explanations, timelines, comparisons, summaries, source-based answers, and reasoning for quality and accuracy.
• Identify anachronism, incorrect chronology, unsupported claims, biased framing, misleading causal explanations, and weak source handling.
• Provide precise, structured written feedback to trainers and QAs and communicate quality expectations through remote collaboration channels.
• Maintain and update style guides, FAQs, trackers, calibration tasks, onboarding materials, and example libraries.
• Monitor quality trends, spot recurring issues, propose workflow improvements, and help scale QA processes for history training projects.

Requirements

• Strong background in historical methods, historiography, chronology, and evidence-based interpretation.
• Proven ability to evaluate historical content against detailed rubrics and exercise careful judgment.
• Clear written English for precise feedback and trainer communication; English required (en).
• Experience in historical research, teaching, writing, editing, academic review, archival work, museum work, or similar humanities workflows.
• Familiarity with AI training, data annotation, LLM evaluation, fact-checking, or rubric-based review is a strong advantage.
• Contract details: part-time contractor, 20+ hours/week, US-based applicants only, pay $50/hour, data type: text, label type: evaluation_rating.

Helpful Background

• Degree or formal study in History, Classics, Area Studies, Archaeology, Political History, Cultural History, International Relations, Humanities, or a closely related field.
• Experience leading or supporting remote teams of researchers, writers, reviewers, educators, annotators, or QAs.
• Comfort with collaboration tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
• Specialization in areas like ancient, medieval, modern, world, military, intellectual, social, economic, colonial, postcolonial, or regional history.

How This Work Happens

You will work remotely as a contractor through OpenTrain, using shared channels and documentation to review samples, give feedback, and calibrate trainers. Tasks focus on text evaluation and producing evaluation-rating judgments according to project rubrics. The role emphasizes clear documentation, repeatable calibration, and helping scale reliable QA practices across distributed teams.

Who Should Apply & Next Steps

Apply if you want contract-based history review work that combines deep subject expertise with quality assurance and AI training oversight. This role is a strong fit for experienced historians, educators, editors, archivists, or researchers who want to shape how AI models handle historical knowledge.

To apply, create or use your OpenTrain profile and submit your interest. OpenTrain will manage contracting and project placement for accepted candidates.