AI Data Operations Lead

2 weeks ago


Imus, Calabarzon, Philippines beBeeOperations Full time $90,000 - $110,000

At TaskUs, we strive to achieve growth for our partners by fostering a culture of constant innovation, exploring new technologies, and mastering consistency in an ever-changing world.

Our mission is to ensure AI systems are safe, fair, and effective in partnership with world-class researchers and engineers.

We are looking for a seasoned Operations Project Manager who can pair classic project-management rigor with enough technical fluency to keep engineers, annotators, and data scientists working in sync.

The ideal candidate will have 3–5 years of experience managing technical projects or operations in data, AI, or software domains, with hands-on experience with Agile/Scrum or Kanban workflows.

Key Responsibilities:
  • Deliver flawlessly: Hit scope, schedule, and budget targets across multiple concurrent AI-data projects
  • Boost efficiency: Automate reporting, surface KPIs, and drive process improvements that cut cycle times and cost
  • Maintain crystal-clear communication and documentation so stakeholders always know status, risks, and next steps

Requirements:

  • Project-management excellence: scoping, scheduling, risk management, and stakeholder comms
  • Lightweight scripting: Python or similar for automation, data manipulation, and report generation
  • SQL & dashboards: query data warehouses and build KPI views
  • Tool savvy: familiarity with annotation platforms (Label Studio, Labelbox) and cloud services (AWS/GCP/Azure)

What We Offer:

  • A front-row seat to work with cutting-edge AI teams solving safety challenges most companies haven't faced yet
  • Variety & velocity: Juggle multiple high-impact projects, each with unique data and model workflows
  • Growth runway: Define best-practice ops for a scaling business and step into senior-program-manager or operations-lead roles

Nice to Have:

  • MLOps exposure, experience with LLM-driven automation, or knowledge of security/compliance requirements in data operations


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