Associate Project Manager – Generative AI Data Operations

Role Overview

The Associate Project Manager oversees multi-project portfolios for AI training data programs, leading delivery and scale through capacity planning, vendor management, and process automation. They ensure quality consistency across projects, drive performance improvements, and plan work jointly with the Sr. Quality Analyst.

What You Will Do

Key responsibilities include portfolio delivery, governance and reporting, capacity planning, quality consistency, process automation, vendor management, financial control, risk and issue management, client and stakeholder management, team enablement, compliance and security, and people management.

Why It Might Be a Fit

The ideal candidate will have 2-3 years of experience leading multi-project portfolios or large multi-workstream programs in AI data, content review, labeling/annotation, or related fields, and possess skills in portfolio planning, governance, communication, and process automation.

Requirements

• Bachelor’s degree or equivalent experience in business, operations, data/engineering, or similar
• 2–3 years leading multi-project portfolios or large multi-workstream programs in AI data, content review, labeling/annotation, or related fields
• Background in capacity planning, vendor coordination, and quality systems; experience piloting or scaling process automation is a plus
• Portfolio planning and governance across several projects at once
• Clear communication with senior clients and internal leaders; runs planning and QBR-style reviews
• Strong use of spreadsheets, PM/task boards, and basic BI; familiarity with SQL/ETL concepts is a plus
• Sound judgment on scope, time, cost, and quality trade-offs
• Negotiation and escalation to resolve risks, issues, and change
• Coaching mindset; guides P1 PMs and C2–C3 Coordinators
• Comfortable working with global, distributed teams (intermediate to advanced English)

Tagged as: Excel, SQL