Innodata Inc.

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.

This listing is sourced directly from Innodata Inc.'s careers page and normalized into a canonical job model.