Job Description

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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