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Product Management SME
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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.
You're a Good Fit If You
- Required skills: Product Management, Product Design, Wireframing & Prototyping
- 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.
Role Highlights
Pay & Payout
Independent contractor engagement through Turing. Apply via the link below - Turing handles vetting, onboarding and payment.
Common Questions
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