You will lead quality reviews 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 assess content for conceptual accuracy, sound research methods, educational appropriateness, ethics, cultural context, bias, formatting, policy issues, and alignment with project rubrics. You will also review trainer and QA work, give clear written feedback, and escalate recurring or serious concerns.
The role includes supporting trainers and QAs, maintaining project documentation, and improving consistent quality across remote teams.
- Review content for unsupported generalizations, stereotyping, stigmatizing language, weak causal reasoning, flawed methodology, poor educational scaffolding, and ethical concerns.
- Answer questions about pedagogy, learning objectives, research methods, social context, bias, student appropriateness, and rubric interpretation.
- Share guideline updates and workflow changes through remote collaboration channels.
- Maintain style guides, FAQs, trackers, quality notes, examples, calibration tasks, onboarding materials, and related documentation.
- Run onboarding and training sessions, support consistent rubric use, and recommend process improvements for scalable quality workflows.
What It Pays And Takes
This is a remote contractor opportunity for contributors based in India. You will collaborate with remote expert teams on a part-time basis.
- Pay: $20 per hour.
- Time: 20 or more hours per week.
- Location: Open to contributors based in India.
- Language: Strong English communication is required.
- 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.
- Education: Expertise in education, sociology, psychology, anthropology, political science, social work, public policy, educational psychology, curriculum studies, or a related field.
- Credentials: A bachelor's degree, master's degree, PhD, teaching credential, or equivalent professional experience is welcome.
- Skills: Clear written feedback, detailed rubric use, research literacy, education theory, pedagogy, learning outcomes, assessment design, ethics, bias, culture, inequality, and evidence-based reasoning.
- Helpful background: Classroom learning, lesson planning, qualitative or quantitative research, educational equity, child development, learning science, curriculum standards, AI training, data annotation, LLM evaluation, remote team support, collaboration tools, trackers, dashboards, or project documentation.
How It Works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI Training Work
AI training is the human work behind modern AI systems, including reviewing model responses, evaluating educational content, and checking whether outputs are accurate, useful, and fair. People with strong subject knowledge are needed because AI models must learn from careful examples and detailed human feedback.