Oversees multi-project portfolios for AI training data programs
Leads delivery and scale: capacity planning, vendor management, and process automation
Ensures quality is consistent across projects, drives performance improvements
Plans work jointly with the Sr. Quality Analyst
Forecast and secure rater/annotator capacity; balance shifts, throughput, and skills across vendors and internal teams
Partners with the Sr. Quality Analyst on acceptance criteria, audits, and corrective actions
Identifies manual steps; pilots automation with Ops Tech; scales successful efforts
Manages financial control by building and tracking budgets, burn, and margins
Leads root-cause and action plans; escalates high-impact items with options and impact
Coaches P1 PMs and C2–C3 Coordinators on planning, QA, and tools
Collaborates with the recruiting team to manage hiring efforts and select qualified candidates

Bachelor’s degree or equivalent experience in business, operations, data/engineering, or similar
2–3 years leading multi-project portfolios or large multi-workstream programs in AI data, content review, labeling/annotation, or related fields
Background in capacity planning, vendor coordination, and quality systems; experience piloting or scaling process automation is a plus
Strong use of spreadsheets, PM/task boards, and basic BI; familiarity with SQL/ETL concepts is a plus
Near-native English with strong writing and editorial skills
Hands-on experience with generative AI tools (text, voice, or video)
Background in QA testing, rubric design, or AI safety/ethics evaluation
Familiarity with data-annotation platforms and model-evaluation tools
Ability to interpret code, datasets, and system workflows at a conceptual level (no coding required)
Multilingual ability beyond English

Senior Project Manager – Data Collection

Key skills