User/customer research and feedback synthesis Evaluator | $80-$120/hr Remote
Overview
We're looking for seasoned professionals in user research and feedback synthesis to evaluate AI-generated documents, spreadsheets, and slide decks. In this remote freelance role, you’ll apply your subject-matter expertise to rate outputs for accuracy, rigor, and overall quality. If you have a sharp eye for detail and enjoy turning raw feedback into structured assessments, this opportunity offers flexible, well-compensated work.
What You'll Do6
- 1Review AI-created artifacts using predefined domain-specific quality rubrics.
- 2Spot factual errors, visual inconsistencies, and presentation flaws in outputs.
- 3Provide clear, organized written feedback that helps improve future AI generations.
- 4Assess whether content meets professional standards for user/customer research documentation.
- 5Flag areas where the AI’s output lacks depth, clarity, or logical flow.
- 6Collaborate with the team to refine evaluation criteria over time.
Requirements4
- 15+ years of professional experience in user research, customer insights, or feedback synthesis.
- 2Native or professional-level fluency in English (written and verbal).
- 3Strong proficiency with Microsoft Office and Google Workspace, especially Google Slides or PowerPoint.
- 4An advanced degree (Master’s or higher) from a reputable institution is preferred.
Who Should Apply
You’re an analytical thinker who lives for patterns in user feedback and can assess the quality of a presentation at a glance. You enjoy the challenge of grading AI outputs against strict criteria and providing precise, actionable critiques. You’re comfortable working independently, communicating clearly in writing, and bringing a scientific mindset to subjective evaluations.
Salary Insight
$80–$120 per hour based on experience and expertise, paid on an hourly freelance basis.
Application Tip
Prepare a short portfolio or case study showing how you’ve evaluated a document, presentation, or data set for quality—describe the metrics you used and the improvements your feedback drove.
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