Market Research AI Evaluation Expert

As a Market Research AI Evaluation Expert, you will review AI-generated research and create reliable examples that show what good market research looks like. You will assess reasoning, methods, evidence, clarity, and practical usefulness.

• Review AI-generated market research outputs for accuracy, clarity, and sound research methods.
• Create research briefs, survey instruments, insight summaries, competitor scans, and other expert deliverables.
• Check research design, sampling logic, survey wording, scales, screening, quality checks, bias, confounding, and evidence use.
• Review TAM, SAM, and SOM market-sizing logic, including assumptions and sensitivity checks.
• Rate and compare multiple AI responses based on reasoning quality and practical usefulness.
• Give precise written feedback on errors in research design, analysis, and insight synthesis.

This is remote, part-time contractor work connected to future research projects. The role suits experienced market research, consumer insights, strategy, or analytics professionals who can turn unclear questions into useful conclusions.

• Pay: $30-$65 per hour, paid in USD.
• Time: 20+ hours per week.
• Work type: Part-time contractor.
• Location: Applicants must be based in Bangladesh, Bhutan, Brazil, Cambodia, Germany, India, Indonesia, Malaysia, Nepal, Pakistan, Singapore, Sri Lanka, Thailand, the Philippines, Timor-Leste, the United States, or Vietnam.
• Language: Minimum C1 English proficiency.
• Education: Bachelor's degree or higher in marketing, business, economics, statistics, psychology, or a related field.
• Experience: 5+ years in market research, consumer insights, strategy, or analytics.
• Research background: Strong qualitative and quantitative experience with surveys, interviews, and focus groups.
• Preferred experience: AI data training, annotation, research operations, insight quality assurance, or editorial review.

Apply on OpenTrain with your resume and then complete the application on the hiring site.

AI training is the human work behind systems that learn from examples, including reviewing model responses and checking whether their reasoning is accurate and useful. Experienced professionals are paid to apply their judgment so AI systems produce more reliable results in specialized fields such as market research.