The work
You will lead quality checks across learning-focused AI training projects. Your work will cover AI-generated explanations, lesson content, social science summaries, research methods material, educational activities, assessment items, learning guidance, and social reasoning.
You will review work for accuracy, sound methods, instructional quality, ethics, cultural context, bias, formatting, and policy issues. You will also assess trainer and QA work, give clear written feedback, escalate serious or repeated issues, and help teams apply project rubrics consistently.
The role includes maintaining style guides, FAQs, trackers, quality notes, examples, calibration tasks, onboarding materials, and other project documents. You will run onboarding and training sessions, answer questions, communicate guideline changes, and recommend improvements to quality workflows.
- Identify unsupported generalizations, stereotyping, stigmatizing language, weak causal reasoning, flawed methodology, poor educational scaffolding, and ethically problematic content.
- Answer questions about pedagogy, learning objectives, research methods, social context, bias, student appropriateness, and rubric interpretation.
- Work with remote expert teams through remote collaboration channels.
What it pays and takes
This is a remote, part-time contractor opportunity for contributors based in India. The work requires strong English communication and clear, actionable written feedback.
- Pay: $20 per hour.
- Time: 20+ hours per week.
- Location: Open to candidates based in India.
- Language: Professional fluency in English.
- Experience: At least three years in teaching, curriculum development, social science research, educational content review, instructional design, academic writing, social policy, student assessment, or related review work.
- Subject knowledge: Education, sociology, psychology, anthropology, political science, social work, public policy, educational psychology, curriculum studies, or a related field.
- Education: A bachelor's degree, master's degree, PhD, teaching credential, or equivalent professional experience is welcome.
- You should understand education theory, pedagogy, learning outcomes, assessment design, research methods, ethics, bias, culture, inequality, and evidence-based reasoning.
- Helpful experience includes classroom learning, lesson planning, qualitative or quantitative research, educational equity, child development, learning science, curriculum standards, AI training, data annotation, LLM evaluation, rubric-based review, remote team support, trackers, dashboards, and project documentation.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site. OpenTrain is free to join and helps people find AI training and data-labeling roles in one place.
About AI training work
AI training is the human work behind systems that learn from examples. Contributors review or improve text, images, audio, code, and model responses so AI systems can produce more useful and reliable results.
This role applies education and social science expertise to evaluate AI-generated content, research reasoning, teaching quality, and social context.