Own the day-to-day strategy and operations for human data annotation projects
Manage geographically distributed teams
Keep workflows running smoothly, and ensuring we deliver high quality labelled data on time and to spec
Partner closely with Quality team, Solutions, Community, and client stakeholders
Lead end to end delivery of data annotation projects across multiple data types and use cases
Plan headcount, schedules and coverage across sites and remote workers
Monitor core operational metrics such as throughput, turnaround time, utilisation and rework
Flag risks early, manage incidents and escalations, coordinate corrective actions and prevent repeat issues
Maintain clear, accurate SOPs and documentation

Bachelor’s degree in a relevant field (for example linguistics, social sciences, humanities, computer science) or equivalent practical experience
4+ years in operations, programme or project management, with at least 2-3 years directly running data annotation, data labelling or content review operations for AI or ML products
Proven experience in designing and owning high-quality annotation pipelines for AI/ML workflows
Experience leading distributed or remote teams
Strong familiarity with data annotation pipelines and how quality, sampling, audits and reviewer guidance affect performance
Hands-on experience with annotation or labelling tools and workflows, ideally across more than one data type (for example text, images, audio or video)
Comfortable working with operational metrics and using data to understand performance, explain performance and make decisions
Comfortable operating in a fast-moving, sometimes ambiguous environment, and able to prioritise and move work forward without perfect information
Evidenced ability to use data and structured thinking to improve processes, not just operate them
Strong written and verbal communication skills in English, able to communicate clearly with annotators, internal stakeholders and external clients
Comfortable working with global, multicultural teams

AI Data Operations Manager

Key skills