Sociology Quality Assurance Lead
Review and improve AI-generated sociology content as a remote Quality Assurance Lead. Earn $65/hour while shaping accurate, nuanced, and ethically aware AI training work for 20+ hours per week.
Posted Jul 9, 2026
Review and improve AI-generated education and social science content while leading trainer calibration, rubric quality, and remote QA workflows. This India-based contractor role offers $20 per hour and requires 20+ hours weekly.
Generative AI & RLHF
$20/hr
Compensation
1 country
Eligibility
Entry
Experience
Aug 29, 2026
Posted
Open to applicants in
OpenTrain AI is the hiring and contracting organization for this remote opportunity. OpenTrain is the #1 platform for finding and building careers in AI training and data labeling, helping contributors discover projects, build a professional profile, and grow experience in a fast-moving technology field.
In this role, you will contribute as a specialist reviewer and quality leader while building experience that can support a longer-term AI training portfolio.
AI training is the human work behind modern artificial intelligence. Contributors review model responses, assess accuracy and usefulness, prepare examples, and provide structured feedback that helps AI systems produce more reliable and appropriate results.
As an AI quality assurance lead, you will apply expertise in education and the social sciences to evaluate explanations, learning materials, research content, and social reasoning. Your judgment will help identify factual, methodological, instructional, ethical, cultural, and bias-related issues before content is accepted.
OpenTrain is seeking a Social Sciences and Education AI Quality Assurance Lead to oversee quality, consistency, and trainer performance across learning-focused AI training projects. The work combines subject matter judgment with structured quality leadership and requires careful attention to conceptual accuracy, research literacy, educational appropriateness, ethics, cultural context, bias sensitivity, and detailed rubrics.
You will review AI-generated explanations, lesson content, social science summaries, research methods material, educational activities, assessment items, learning guidance, and social reasoning. The role is listed as entry level, while the stated requirements include at least three years of relevant experience.
You will support reliable, scalable quality workflows by reviewing content, assessing trainer and QA performance, communicating updates, and maintaining the documentation teams need to apply standards consistently.
The role also involves identifying subtle problems in educational and social science content, including unsupported generalizations, stereotyping, stigmatizing language, weak causal reasoning, flawed methodology, poor educational scaffolding, and ethically problematic material.
You should bring strong expertise in education, sociology, psychology, anthropology, political science, social work, public policy, educational psychology, curriculum studies, or a related field. A bachelor's degree, master's degree, PhD, teaching credential, or equivalent professional experience is welcome.
At least three years of experience in teaching, curriculum development, social science research, educational content review, instructional design, academic writing, social policy, student assessment, or related review work is required. Strong English communication and the ability to write clear, actionable feedback are essential.
The following experience can strengthen your application and help you contribute effectively to quality leadership, though the role's required qualifications are listed above.
This opportunity may suit educators, researchers, instructional designers, academic writers, policy professionals, and social science specialists who can combine domain knowledge with disciplined quality review. It is especially relevant for people who care about how educational content represents learners, cultures, evidence, and social issues.
You should be comfortable making careful judgments, explaining those judgments clearly, and applying the same standards across varied AI-generated materials. The work requires attention to detail, ethical awareness, and confidence identifying both obvious and subtle quality problems.
This is a remote, part-time contractor role with OpenTrain AI. You will contribute to text-based AI evaluation and quality assurance work for learning-focused projects while collaborating with trainers and QA specialists remotely.
Creating an OpenTrain account is free. Your profile can help you discover additional AI training opportunities, demonstrate relevant experience, and build a durable portfolio in a growing industry where human expertise shapes how AI systems behave.
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