Arctic Engines
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ProjectManagerVoiceAIDataOperations(TTS/STT/RLHF)
“Project Manager - Voice AI Data Operations (TTS / STT / RLHF) at Arctic Engines. Skills: Project Delivery, Team Management, Quality Outcomes, Client Coordination. Own project delivery for voice annotation workstreams. Manage a team of 5–15 annotators and QCs”
Industry & Context.
Identify bottlenecks; Propose tooling or process changes; Run small experiments to lift throughput or quality
What They're Looking For.
Must Have
3–5 years of total experience, 2+ years managing voice/speech annotation projects (TTS, STT, ASR, voice RLHF, prosody, phonetic transcription, or similar), Direct experience working with annotation platforms (Label Studio, CVAT, Prodigy, internal client tooling, etc.), Demonstrated track record of managing annotator pods (10+ people) and hitting quality and volume SLAs, working knowledge of QC frameworks — IAA, gold sets, sampling-based audits, rework cycles, Comfort with spreadsheets/Google Sheets, basic data analysis, and reporting dashboards, Excellent written and spoken English
Nice to Have
Exposure to RLHF preference labeling or human feedback for generative models, Familiarity with audio quality concepts (SNR, prosody, phoneme alignment, speaker diarization), Experience working with US/EU AI labs as clients, Working knowledge of multiple Indian or global languages
What You'll Do.
Own project delivery for voice annotation workstreams
Manage a team of 5–15 annotators and QCs
Drive quality outcomes
Translate client guidelines into operational SOPs
Handle client coordination
Track and report on volume
Publish weekly status to leadership and client
Continuously improve processes and tooling
How You'll Work.
Team & Collaboration
Act as operational bridge between delivery team and client; Partner with QC leads to monitor IAA; Communicate impact of guideline changes internally
Communication Scope
Excellent written and spoken English; Writing clear instructions
Process & Methodology
Own end-to-end delivery of voice annotation projects, Drive quality and throughput targets, Manage daily targets, weekly milestones, and final hand-off, Task allocation, Shift planning, Capacity utilization, Performance reviews, Ramp-up of new joiners
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