Product Management AI Training Expert

You will help define how AI tools create and evaluate product management materials. The work combines product operations knowledge, structured spreadsheet logic, and careful review of AI-generated outputs.

• Define discovery parameters and guardrails for AI tools that build product roadmaps, feature specifications, and user story backlogs.
• Build and validate product dashboards, RICE and MoSCoW scoring models, roadmap timelines, and Q&A triage boards in Google Sheets or Excel.
• Create realistic product operations scenarios and review files such as product requirements documents, customer feedback logs, and release plans.
• Review, score, and refine AI-generated product artifacts against professional product management standards.

What it pays and takes

The listing does not provide a pay rate. This is a contract, part-time role expected to last up to two weeks.

• Time: 20+ hours per week.
• Schedule: At least eight hours of overlap with Pacific Standard Time and weekend on-call availability.
• Location: Open worldwide, with remote work using a personal desktop or laptop and stable high-speed internet.
• Language: Professional fluency in English.
• Experience: 3+ years in product management or product operations.
• Skills: Experience with RICE, MoSCoW, or Kano prioritization, roadmap planning, backlog grooming, and internal Q&A or feedback triage.
• Writing: Strong, concise professional writing and the ability to turn scoring rules, triage logic, and roadmap constraints into spreadsheet formulas and structured parameters.
• Education: Bachelor's degree or equivalent practical experience.
• Helpful background: AI evaluation, data annotation, content review, quality assurance, or a related analytical role.

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 judgment to prepare and review examples for artificial intelligence systems. OpenTrain is a platform where people find these roles, build a profile, and apply to projects that match their skills.