Project Manager - Generative AI Data Operations
New
MexicoFull-TimeManager
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- 2+ years
- Required Skills
- Project ManagementBusiness IntelligenceETLTrainingQuality AssuranceGenerative AI
Requirements
- 2+ years in project/operations delivery with hands-on QA and workforce planning (AI data, content review, labeling/annotation, or adjacent domains).
- Experience running trainings and coordinating multi-team delivery.
- Bachelor’s degree or equivalent experience in business, data/operations, engineering, or related fields.
- 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.
- Planning and organization across multiple projects (quality, workforce, and training tracks).
Responsibilities
- Monitor QA plans in partnership with Quality team (sampling, audits, acceptance criteria). Track risks of defects, lead corrective actions, and prevent recurrences.
- Forecast capacity needs; schedule shifts and handoffs; align vendors and internal teams to meet volume and turnaround targets.
- Build and deliver training and certification for raters/annotators and coordinators; update materials as guidelines change.
- Maintain dashboards for throughput, quality, productivity, and cost; turn data into clear actions for improvement.
- Ensure policy adherence on data handling, privacy, safety, and platform access; support audits and remediation.
- Standardize SOPs and checklists; remove bottlenecks; pilot small changes that improve speed, quality, or cost.
- Join client reviews with the Quality Manager and PMs; explain quality results, risks, and next steps.
- Coach Coordinators and Associate PMs on QA, workflows, and tools; support onboarding and skills growth.
- Manage employee attendance, conduct individual performance reviews and support contract renewals.
- Keep risk/issue logs; manage change requests that impact quality, capacity, or training; escalate high-impact items with options.
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