About the role
Bring senior decision science expertise to AI evaluation projects focused on decision models, uncertainty, judgment biases, and choice under risk. Review model responses and worked examples for confounded evidence, overgeneralized findings, and invalid measurement assumptions. Assess whether the reasoning meets professional standards for the stated task. Write reference answers and scoring criteria grounded in decision models, uncertainty, judgment biases, and choice under risk. Explain consequential errors, evidence gaps, and the reasoning behind your corrections. This is remote, project-based contract work. Scope, hours, and assignments depend on project matching; the listed hourly range applies to matched work.
What we're looking for
- 7+ years of substantive experience in decision science research or applied decision analysis.
- Demonstrated senior-level judgment in decision models, uncertainty, judgment biases, and choice under risk, with substantial responsibility for reviewing or delivering this work.
- Ability to write precise reference answers, assess competing approaches, and justify corrections with traceable evidence.