Remote Survey Research Expert for AI Evaluation

What You'll Do9

• Review surveys for methodological quality, clarity, and fit to purpose.
• Assess question wording for leading language, ambiguity, double-barreled construction, response options, ordering effects, and respondent burden.
• Check screeners, eligibility rules, survey flows, skip logic, display logic, scales, and questionnaire structure.
• Identify sources of sampling, measurement, response, and selection bias.
• Judge whether a survey can produce reliable, interpretable data from the intended population.
• Examine fielding plans, respondent recruitment, quotas, sample makeup, and data-quality controls.
• Apply practical research judgment to design problems that lack a single correct answer.
• Write clear, structured rationales that explain methodological issues and suggest improvements.
• Evaluate AI-generated survey content and research reasoning against professional standards.

Requirements6

• 3+ years of professional experience in survey research, market research, consumer insights, behavioural science, UX research, or a related field.
• Hands-on work designing or fielding surveys in a professional setting.
• Solid grasp of questionnaire design and the common sources of survey error and bias.
• Skill at judging survey methodology, not just running a set questionnaire.
• Strong written communication, with the ability to explain why a design choice is strong or weak.
• High attention to detail and comfort with nuanced calls when information is incomplete or ambiguous.

Preferred Qualifications2

• Experience with respondent panels, sampling strategies, screeners, quotas, or survey fieldwork.
• Familiarity with Qualtrics, SurveyMonkey, Alchemer, Decipher/Forsta, QuestionPro, or similar research tools.

Who Should Apply

Survey researchers, market research and consumer insights managers, behavioural scientists, UX researchers, polling specialists, and research directors with hands-on questionnaire design and fielding experience fit this work. A record of judging survey quality, bias, and sample design matters more than an academic title.

Salary Insight