End-to-end delivery: Plan, launch, and run a project (data collection, labeling, evaluation). Define tasks, assign batches, and monitor progress and blockers.
Timeline and scope control: Build simple schedules, track dependencies, manage changes within agreed scope, and escalate when scope, time, or cost are at risk.
Quality management: Apply project guidelines and SOPs; perform spot checks; coordinate feedback loops and rework until standards are met.
Client communication: Contribute to regular status touchpoints; share updates, risks, and next steps; capture and clarify requirements and guideline questions.
Resource coordination: Forecast and request rater/annotator capacity; align shifts, handoffs, and training needs with internal teams and vendors.
Risk and issue management: Maintain risk/issue logs; run basic root-cause checks; execute mitigation plans and document outcomes.
Project administration: Keep trackers, dashboards, and documentation current (volumes, throughput, quality, incidents). Support PO/time entry and invoice confirmations.
Process adherence & improvement: Follow SOPs and security/compliance policies; propose small improvements to increase speed, quality, or cost efficiency.
Tooling: Use standard PM and data tools (spreadsheets, task boards, ticketing, basic BI) and help others follow usage conventions.

Bachelor’s degree or equivalent experience in business, data/operations, or related fields
1+ years in project/operations delivery or coordination (AI data, content review, labeling/annotation, or adjacent domains).
Organization and time management across multiple small/medium projects
Clear client/vendor communication and expectation setting
Use of spreadsheets, PM/task boards, and basic BI; familiarity with ETL/SQL is a plus
Consistent application of SOPs, QA checks, and change/risk logs
Ability to work independently day to day in a remote environment; escalates when needed.

Project Coordinator – Generative AI Data Operations

Key skills