Associate Project Manager - Generative AI Data Operations
Posted 8 hours ago
Job Description
Key Responsibilities
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Program & Delivery Leadership: Execute delivery plans, milestones, resourcing, and controls for large or multi-workstream AI data projects (collection, labeling, evaluation).
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Client Management: Contribute to regular governance, status, and planning sessions; handle scope, priorities, and change.
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Financial Ownership: Track budgets, rates, and margins; manage forecasts, burn, and change orders to protect profitability.
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Quality Partnership: Share accountability with the Quality Analyst team for QA approach and continuous improvement loops.
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Resource & Capacity Planning: Plan and secure rater/annotator capacity; align training, shifts, and handoffs across time zones.
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Risk, Issue & Change Control: Run root-cause and corrective actions; escalate material risks with options and impact.
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Process & Service Innovation: Contribute to SOPs, templates, and dashboards; pilot new delivery methods and services for AI data programs.
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Compliance & Security: Ensure data handling, privacy, and security policies are followed across all workstreams.
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Reporting & Insights: Keep trackers and dashboards current; translate delivery data into clear, actionable insights for clients and leaders.
Skills
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Strong planning and organization across parallel workstreams.
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Clear written and spoken communication with senior client stakeholders.
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Solid use of spreadsheets, PM/task boards, and basic BI; comfort with ETL concepts is a plus.
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Quality mindset with practical use of SOPs, QA gates, and acceptance criteria.
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Financial awareness (budgets, margin, change orders) and sound trade-off judgment.
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Coaching ability for junior PMs and Coordinators.
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Confident escalation and negotiation to resolve risks, issues, and scope questions.
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Comfortable working with global, distributed teams (intermediate to advanced English).
Additional Qualifications
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Near-native English with strong writing and editorial skills.
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Hands-on experience with generative AI tools (text, voice, or video).
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Background in QA testing, rubric design, or AI safety/ethics evaluation.
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Familiarity with data-annotation platforms and model-evaluation tools.
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Ability to interpret code, datasets, and system workflows at a conceptual level (no coding required).
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Able to work independently and manage workflows effectively in a remote environment .
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Multilingual ability beyond English.
Scope and Autonomy
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Assists in leading one large strategic project or several medium projects end-to-end.
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Executes delivery approach within scope, budget, and policies; escalates only non-standard or high-impact items.
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Provides day-to-day direction to a small delivery pod (e.g., 2–8 Junior PMs/Coordinators) and influences cross-functional partners.
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Shares accountability for quality outcomes with the Quality Analyst.
Experience and Education
1+ years leading complex project delivery or operations (AI data, content review, annotation, labeling, or adjacent domains).
Experience coordinating multi-team delivery and managing client touchpoints.
Bachelor’s degree or equivalent experience in business, data/operations, engineering, or related fields
Welocalize
10 jobs posted
About the job
Mar 21, 2026
Apr 20, 2026
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