Central role supporting governance and execution of project portfolios and innovation initiatives. Transforming complex data into structured analyses for efficient resource allocation.
About the role
- Project Manager overseeing AI data operations delivery, focusing on quality assurance and workforce planning. Collaborating with clients and coaching team members for project success.
Responsibilities
- Owns quality assurance, workforce planning, and training programs for AI training data delivery on multiple small projects or one large strategic project.
- Improves performance, compliance, and processes across multiple projects.
- Partners with the Senior Quality Analyst to share accountability for client outcomes and team performance.
- 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 (C2–C3) and Associate PMs (P1) 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.
Requirements
- Bachelor’s degree or equivalent experience in business, data/operations, engineering, or related fields
- 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
- Planning and organization across multiple projects (quality, workforce, and training tracks)
- Clear communication with clients and internal partners; confident in reviews and governance forums
- Solid use of spreadsheets, PM/task boards, and basic BI; familiarity with ETL concepts is a plus
- Practical QA know-how (sampling, audits, acceptance criteria) and continuous-improvement mindset
- Capacity planning, scheduling, and vendor coordination
- Coaching for C2–C3 Coordinators and P1s; gives day-to-day guidance
- Confident escalation and negotiation to resolve risks, issues, and scope questions
- Comfortable working with global, distributed teams (intermediate to advanced English)
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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