Project Coordinator, Gen AI Data Operations
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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 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.
Additional Job Details:
Education
Bachelor’s degree or equivalent experience in business, data/operations, or related fields
Experience
0–2 years in project/operations delivery or coordination (AI data, content review, labeling/annotation, or adjacent domains)
Skills
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
Scope & Autonomy (C3 Alignment)
Contributes to multiple small/medium projects end-to-end within established processes
Independent day-to-day execution; seeks guidance for exceptions or material changes
Makes routine delivery decisions within scope, cost, and quality guardrails
When creating your Workday account and entering personal information like name, address, please do not use ALL CAPS.
Thank you!
NOTICE: For Privacy Policy please review here
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 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.
Additional Job Details:
Education
Bachelor’s degree or equivalent experience in business, data/operations, or related fields
Experience
0–2 years in project/operations delivery or coordination (AI data, content review, labeling/annotation, or adjacent domains)
Skills
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
Scope & Autonomy (C3 Alignment)
Contributes to multiple small/medium projects end-to-end within established processes
Independent day-to-day execution; seeks guidance for exceptions or material changes
Makes routine delivery decisions within scope, cost, and quality guardrails