Product Analytics and Experimentation Expert

You will create product analytics problems based on real product-team decisions, then write reference answers that show the reasoning behind each step. Your examples will help assess whether AI systems can analyze data and make sound analytical judgments.

• Write problems about experiments, product metrics, retention, and growth.
• Work through each problem and explain the reasoning in its reference answer.
• Identify analytical mistakes that may look reasonable but require practical product analytics experience to catch.

• Pay: $115 per hour, paid weekly via Stripe.
• Hours: At least 20 hours per week; the work is flexible and asynchronous, with participation that can scale up or down.
• Location: Remote, with applicants limited to eligible countries.
• Experience: At least three years of full-time work as a data scientist or product analyst on a product team.
• Skills: Hands-on experience designing or analyzing A/B tests; strong SQL, Python, and applied statistics skills; and strong written English with the ability to explain an analysis clearly.
• Helpful background: A master's degree in a quantitative field, experience defining product metrics, or experience modeling retention and lifetime value.
• Work arrangement: Independent contractor role with ongoing project work.

Apply on OpenTrain with your resume, then complete the application on the hiring site.

AI training work uses human-written examples and evaluations to help improve and assess AI systems. Experienced product analytics practitioners are needed to create realistic problems and recognize errors that require practical judgment.

OpenTrain is a free platform where people can find AI training projects, build a profile, and start applications.