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Job Responsibilities:

Individual contributor who supports end-to-end delivery of multiple AI training data projects. Owns in collaboration with the project team, day-to-day execution, timelines, resources, and client communication to ensure delivery against scope and established processes. Manages end-to-end delivery of multiple workstreams that power Generative AI model training and evaluation, ensuring timelines, quality, and resources.Key Responsibilities
- 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 sec

📌 Project Coordinator (México)
🏢 Welocalize
📍 México