Product Management Expert AI Trainer (Quality Standards)
About the role
We are seeking an AI Training Specialist (Product Management & Operations) to define domain quality standards and author foundational logic for product focused AI tools. In this role, you will convert product frameworks—including feature prioritization models, roadmap planning structures, and internal feedback/Q&A triage systems—into structured parameters and deterministic spreadsheet logic. You will author, evaluate, and refine domain assets to ensure AI generated product artifacts, feature specifications, and backlog scoring models meet elite industry standards.
What you'll do
- Domain Guidance & Guardrail Authoring: Define discovery parameters and operational guardrails for AI tools building product roadmaps, feature specifications, and user story backlogs.
- Golden Asset Verification: Build and validate reference product dashboards, RICE/MoSCoW scoring models, roadmap timelines, and Q&A triage boards in Google Sheets or Excel.
- Workflow & Dataset Co Design: Design realistic product operations scenarios and validate domain context files, including PRDs, customer feedback logs, and release plans.
- AI Quality Audit & Sign Off: Review, score, and refine AI generated product artifacts to ensure complete alignment with professional B2B/B2C product management standards.
Requirements
- Core Experience: 3+ years in product management or product operations.
- Domain Expertise: Hands on familiarity with prioritization frameworks (e.g., RICE, MoSCoW, Kano), roadmap planning, backlog grooming, and managing internal Q&A or feedback triage programs.
- Logic & Technical Translation: Strong, concise professional writing skills with a proven ability to translate feature scoring rules, triage logic, and roadmap constraints into deterministic spreadsheet formulas and structured parameters.
- Availability & Commitment: Talent must have weekend on call availability (part time engagement is acceptable).
- Technical Infrastructure: Personal desktop/laptop equipped with a stable, high speed internet connection in a remote setup.
- Bachelor's degree or equivalent practical experience in any field.
- Experience in AI evaluation, data annotation, content review, quality assurance, or a related analytical role is preferred but not required.
About Turing
Turing is an AI company based in San Francisco that works with the world's leading AI labs to make their models better at reasoning, coding, languages and more. It also helps businesses build real AI systems, and it works with talent from over 100 countries.
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