Related skills
qa evaluation labeling speech_ai
📋 Description
Design, launch, and own end-to-end data workflows: raw audio to datasets
Build and evolve labeling specs, style guides, and docs for annotation teams
Identify opportunities for tooling, automation, and workflow optimization
Translate product goals and model requirements into data creation strategies
Own the full lifecycle: data acquisition, preparation, scaling, and evaluation
Prototype and deploy data tools and infrastructure
🎯 Requirements
Experience owning data, ML, or operations programs end-to-end in PM or product management
Fluency with technical teams; discuss data quality, evaluation, and model impact
Systems thinking; reason from fundamentals and scale decisions
Prioritization under constraint—decide what to fund, cut, and sequence
Strong operating instincts: scope, sequence, assign, and ship
Direct exposure to speech/audio, ASR, or TTS data
🎁 Benefits
Believe that data is a product, not just a resource
Turn experimental ideas into robust, scalable systems
Thrive in ambiguity and take initiative; act and iterate
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