Senior Survey Methodology Architect

Mercor; Greater London; On-site; GBP 45,000 - 75,000; Full time

Job summary

Mercor is partnering with a leading AI research organisation to recruit experienced professionals in survey research, market research, consumer insights, and behavioural science for a project focused on evaluating and improving survey-based research. Candidates will review and design surveys, assess questions for bias, evaluate fieldwork and data quality, and provide clear rationales for improvements.

The role emphasises methodological judgment and practical insights for rigorous research in AI

Qualifications

• 3+ years of professional experience in survey research, market research, consumer insights, behavioural science, UX research, or a closely related field.
• Meaningful hands-on experience designing and/or fielding surveys professionally.
• Strong understanding of questionnaire design and sources of survey error and bias.
• Experience with respondent panels, sampling, screeners, quotas or fieldwork is highly valuable.
• Ability to critically evaluate survey methodology rather than execute a predefined questionnaire.
• Strong written communication skills and ability to explain survey design decisions.
• Attention to detail with the ability to make nuanced judgments from incomplete information.
• Experience with platforms such as Qualtrics, SurveyMonkey, Alchemer, Decipher/Forsta, QuestionPro or similar tools is helpful but not required.

Responsibilities

• 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 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.

Skills

Survey design

Questionnaire design

Sampling strategies

Data quality assessment

Analytical thinking

Writing & communication

Critical reasoning

Tools

Qualtrics

SurveyMonkey

Alchemer

Decipher/Forsta

QuestionPro

Job description

Mercor is partnering with a leading AI research organisation to recruit experienced professionals in survey research, market research, consumer insights, and behavioural science for a project focused on evaluating and improving survey-based research. Candidates will review and design surveys, assess questions for bias, evaluate fieldwork and data quality, and provide clear rationales for improvements.

The role emphasises methodological judgment and practical insights for rigorous research in AI