Associate Project Manager - Generative AI Data Operations

Job Description Summary:

Key Responsibilities

• Program & Delivery Leadership: Execute delivery plans, milestones, resourcing, and controls for large or multi-workstream AI data projects (collection, labeling, evaluation).

• Client Management: Contribute to regular governance, status, and planning sessions; handle scope, priorities, and change.

• Financial Ownership: Track budgets, rates, and margins; manage forecasts, burn, and change orders to protect profitability.

• Quality Partnership: Share accountability with the Quality Analyst team for QA approach and continuous improvement loops.

• Resource & Capacity Planning: Plan and secure rater/annotator capacity; align training, shifts, and handoffs across time zones.

• Risk, Issue & Change Control: Run root-cause and corrective actions; escalate material risks with options and impact.

• Process & Service Innovation: Contribute to SOPs, templates, and dashboards; pilot new delivery methods and services for AI data programs.

• Compliance & Security: Ensure data handling, privacy, and security policies are followed across all workstreams.

• Reporting & Insights: Keep trackers and dashboards current; translate delivery data into clear, actionable insights for clients and leaders.

Skills

• Strong planning and organization across parallel workstreams.

• Clear written and spoken communication with senior client stakeholders.

• Solid use of spreadsheets, PM/task boards, and basic BI; comfort with ETL concepts is a plus.

• Quality mindset with practical use of SOPs, QA gates, and acceptance criteria.

• Financial awareness (budgets, margin, change orders) and sound trade-off judgment.

• Coaching ability for junior PMs and Coordinators.

• Confident escalation and negotiation to resolve risks, issues, and scope questions.

• Comfortable working with global, distributed teams (intermediate to advanced English).

Additional Qualifications

• 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).

• Able to work independently and manage workflows effectively in a remote environment .

• Multilingual ability beyond English.

Scope and Autonomy

• Assists in leading one large strategic project or several medium projects end-to-end.

• Executes delivery approach within scope, budget, and policies; escalates only non-standard or high-impact items.

• Provides day-to-day direction to a small delivery pod (e.g., 2–8 Junior PMs/Coordinators) and influences cross-functional partners.

• 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