Product SME

Role Overview

We are seeking an AI Training Specialist (Product Management & Operations) to define domain quality standards and author foundational logic for product-focused AI tools. You will convert product frameworks—including feature-prioritization models, roadmap-planning structures, and internal feedback and Q&A triage systems—into structured parameters and deterministic spreadsheet logic. You will author, evaluate, and refine domain assets so AI-generated product artifacts, feature specifications, and backlog-scoring models meet elite industry standards.

Responsibilities

• Define discovery parameters and operational guardrails for AI tools building product roadmaps, feature specifications, and user-story backlogs.
• Build and validate reference product dashboards, RICE and MoSCoW scoring models, roadmap timelines, and Q&A triage boards in Google Sheets or Excel.
• Design realistic product-operations scenarios and validate domain context files, including PRDs, customer-feedback logs, and release plans.
• Review, score, and refine AI-generated product artifacts for alignment with professional B2B and B2C product-management standards.

Requirements

• 3+ years in product management or product operations.
• Hands-on familiarity with prioritization frameworks such as RICE, MoSCoW, and Kano; roadmap planning; backlog grooming; and internal feedback or Q&A triage programs.
• Strong professional writing skills and the ability to translate feature-scoring rules, triage logic, and roadmap constraints into deterministic spreadsheet formulas and structured parameters.
• Personal desktop or laptop with reliable high-speed internet for remote work.
• Bachelor’s degree or equivalent practical experience.
• Experience in AI evaluation, data annotation, content review, quality assurance, or a related analytical role is preferred but not required.

Offer Details

• Contract engagement for up to 2 weeks.
• 6 openings.
• $50/hour for US candidates.
• Up to 40 hours per week, with at least 4 hours of overlap with PST.
• Weekend on-call availability required; part-time engagement is acceptable.
• Start immediately.

Evaluation Process

Shortlisted candidates will receive a Job Interest Form. Finalized talent will proceed through delivery review.

Work Location: Remote