UX researcher discussing study design, evidence, and methodologies in recorded conversations. HeyMilo Labs uses these conversations to train and evaluate AI systems.
Responsibilities
Participate in paid, recorded conversations with other research professionals
Discuss research decisions and debate methodologies
Explain how research evidence is interpreted and findings are communicated
Discuss research planning, participant recruitment, interview techniques, usability testing, and synthesis
Debate which research approach fits a question, timeline, or product decision
Defend interpretations of fictional research findings while acknowledging limitations and uncertainty
Challenge assumptions and probe alternative explanations
Respond to another researcher’s critique
Explore communication of findings when stakeholders disagree or evidence is incomplete
Complete an initial screening and, if selected, a paid recorded conversation with a similarly experienced research professional
Discuss shared-expertise topics, debate research choices, and challenge interpretations
Contribute conversations that help train and evaluate AI systems
Requirements
Professional experience in UX research, user research, human factors, or a comparable research role
Hands-on experience designing and conducting studies and communicating findings
Fluent spoken communication in the language of the session
Ability to distinguish observations from interpretations and support perspectives with evidence
Comfort with substantive, unscripted discussions involving constructive disagreement
Quiet environment
Reliable internet
Clear microphone
Webcam
Comfortable appearing on video with face visible and filters and background blur turned off
Use of fictional or anonymized research examples
Professional acting experience is optional
Applicants should provide research background, methods and subject areas, availability, time zone, and spoken languages
Benefits
Paid, recorded conversations
Compensation of $40–$100 per hour
Recording-use and licensing terms shared before accepting an assignment
Opportunity to contribute recordings licensed to AI developers for training and evaluation
Flexible assignment time commitment shared before acceptance
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