Innodata Inc.
Audio Solutions Architect
Remote - United States
Sponsorship not specified$150k-$230kDetected 23 days ago
Data EngineeringLLMsResearchLeadership
About the role
- This is a hybrid role with two equally weighted halves.
- In presales, you sit with a frontier lab or enterprise team, understand what they're trying to train, and shape the data collection program that gets them there.
Requirements
- You'll Thrive in This Role If You Have:
- Deep working knowledge of speech/audio AI: how TTS, ASR, and speech-to-speech systems are trained and evaluated, and what data they require.
- Hands-on experience with speech datasets, annotation, or audio production.
Nice to have
- Experience in a solutions engineering, solutions architect, technical presales, or applied/forward-deployed role - or a technical audio/speech background plus strong commercial instincts.
- Demonstrated ability (and appetite) to produce public-facing technical content and represent a company externally - writing, speaking, or community engagement.
- Ability to shape ambiguous requirements into precise specs and communicate them to both researchers and business stakeholders.
- Strong presence and persuasion
- comfortable being the technical authority in a sales conversation and on a conference stage.
- Familiarity with audio technical specifications (sample rates, LUFS, formats), transcript/metadata schemas, and quality metrics (WER, DER).
Skills
- Stay at the tip of the spear on speech-AI developments (TTS, ASR, speech-to-speech) and what data the next generation of models will need.
Compensation
- Hands-on experience with speech datasets, annotation, or audio production.
- Background working with or at a frontier AI lab or voice-AI product company.
- Multilingual / localization exposure.
Company info
- We're hiring an Audio Solutions Architect to be both the technical partner to our customers in presales and the external technical voice of our audio practice.
- Partner with customers in presales to understand their model objectives, current data gaps, and technical constraints.
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This listing is sourced directly from Innodata Inc.'s careers page and normalized into a canonical job model.