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.

What it pays and takes

• 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.

How it works

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

About AI training work

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.