Product Management — Human Data Platform

When to Use

• Define vision, roadmap, and prioritization for labeling, RLHF, or human-eval products
• Write PRDs for annotation UI, project setup, QA, workforce, or export/API features
• Design annotation tasks (taxonomy, instructions, rubrics, edge cases)
• Specify quality programs: gold tasks, consensus, adjudication, rejection reasons
• Scope customer workflows (ML teams): projects, batches, SLAs, delivery formats
• Improve contributor/annotator productivity, fairness, and trust/safety product surfaces
• Set metrics: throughput, quality, cost per label, time-to-delivery, contributor retention
• Partner on privacy and ethics requirements for human-submitted data (PII, consent, locale)

When NOT to Use