Design research studies to define 'good performance' across contexts.
Build datasets, annotation frameworks, and ground-truth labels.
Own the bias audit process: identify bias and propose changes.
Interview customers and industry to translate signals into measures.
Write and maintain documentation on research methods for teams.
Stay current on literature in educational measurement, psychometrics, and LLM eval.

🎯 Requirements

Master's or PhD in cognitive science, NLP, educational measurement, or related field.
Design methodology from scratch; define data needs and questions.
Digitally self-sufficient; write scripts, scrape data, and run analyses.
Think carefully about fairness in measurement as a design constraint.
Communicate findings to non-researchers; clarify methods for PMs.
Experience running user research or qualitative studies with quantitative modeling.

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