About this role
Mercor is partnering with a leading AI research organisation to engage experienced professionals in survey research, market research, consumer insights, and behavioural science for a project focused on evaluating and improving sophisticated survey-based research. We are looking for individuals who have professionally designed, fielded, managed, or evaluated surveys and understand what separates a rigorous, decision-useful survey from one that produces noisy, biased, or misleading results. This opportunity is intentionally open to professionals from a range of research backgrounds. Candidates do not need to be academic survey methodologists; strong practitioners from market research agencies, consumer insights teams, behavioural science organisations, polling/research firms, or in-house research functions are highly encouraged to apply.
What You’ll Do
- Review and evaluate surveys for methodological quality, clarity, and fitness for purpose.
- Assess survey questions for issues such as leading language, ambiguity, double-barreled questions, response-option problems, ordering effects, and respondent burden.
- Evaluate screeners, eligibility criteria, survey flows, skip/display logic, scales, and questionnaire structure.
- Identify potential sources of sampling, measurement, response, and selection bias.
- Assess whether surveys are likely to generate reliable and interpretable data from the intended respondent population.
- Review approaches to survey fielding, respondent recruitment, quotas, sample composition, and data-quality controls.
- Apply practical research judgment to ambiguous survey-design problems where there may not be a single objectively correct answer.
- Provide clear, structured rationales explaining methodological issues and recommended improvements.
- Help evaluate AI-generated survey content and research reasoning against professional research standards.