Project Manager - Voice AI Data Operations (TTS / STT / RLHF)

Apna Karnataka, India
Apply Now

About Arctic EnginesArctic Engines is a specialized AI data services partner working with leading voice and speech AI companies. We deliver high-quality annotated datasets and human feedback workflows that train the next generation of voice models. We are currently expanding our delivery team to support our work, one of the world's foremost voice AI labs. About the RoleWe are looking for a hands-on Project Manager to own end-to-end delivery of voice annotation projects — including RLHF (Reinforcement Learning from Human Feedback), Text-to-Speech (TTS), Speech-to-Text (STT), and custom speech tasks. You will lead a pod of 5–15 annotators and QCs, drive quality and throughput targets, and act as the operational bridge between our delivery team and the client. This is a delivery-heavy role for someone who has lived in spreadsheets, guideline documents, and QC reports — and enjoys it. What You'll Do• Own project delivery for voice annotation workstreams (RLHF, TTS, STT, custom) — daily targets, weekly milestones, and final dataset hand-off. • Manage a team of 5–15 annotators and QCs — task allocation, shift planning, capacity utilization, performance reviews, and ramp-up of new joiners. • Drive quality outcomes — partner with QC leads to monitor IAA (Inter-Annotator Agreement), error rates, and rejection patterns; run calibration sessions when scores drift. • Translate client guidelines into operational SOPs — break down complex annotation specs into clear, repeatable instructions for the floor. • Handle client coordination — receive guideline changes, rework requests, and clarifications from the client (escalations are co-handled with the founder); communicate impact back internally. • Track and report — maintain dashboards on volume, quality, productivity, and project P&L; publish weekly status to leadership and client.

Continuously improve — identify bottlenecks, propose tooling or process changes, and run small experiments to lift throughput or quality.