Founding Voice AI Engineer (part-time, path to CAIO)
Namecoach/EuphoniaWe're now building Euphonia (https://euphonia.namecoach.ai/), a provider-neutral middleware layer that makes any TTS engine pronounce names, acronyms, and other out-of-vocabulary terms correctly. The new wave of TTS (models from OpenAI, ElevenLabs, etc) sounds great but gives you almost no phoneme-level control, so it gets lots of names and words wrong and you can't easily fix it. We sit in front of these engines and fix it.
We want real depth in speech and phonetics: grapheme-to-phoneme, IPA, ASR/TTS internals, and the ability to build and evaluate models around them (the recognition and G2P side especially). You should be comfortable shipping with agentic dev tools like Claude Code and Cursor. This is a 0 to 1 founding voice AI engineering role with a genuine path to Chief AI Officer for the right person.
Part-time to start (flexible hours, ~2hr/day overlap with US Pacific), with a paid take-home and a paid trial month before anything longer term. Potential conversion to full-time role. Series A closed, bridge to B in motion.
Full JD: https://wellfound.com/l/2ChdJ2
Opens the company's application page
Listed via
Findwork
findwork.dev
Similar roles

Data Analyst
Harnham - Data & Analytics Recruitment

Senior Data Analyst
Harnham - Data & Analytics Recruitment

Service Charge Data Analyst
Robertson Bell
Data Analyst
R3vamp Limited
Design & Tech
Related reads from TCHNX

Why AI Design Tools Are Quietly Replacing Junior Designers and What Actually Comes Next
AI tools promise efficiency, but London studios are discovering an unexpected paradox: automation creates new bottlenecks requiring precisely the expertise being eliminated. We investigate what's actually happening to entry-level design work.

The Inference Economy: Why AI’s Biggest Cost Shift Is Happening After Training
A major shift in AI economics is reshaping the industry. As training frontier models becomes more expensive and inference becomes dramatically cheaper, companies are being forced to rethink how they build, deploy, price, and monetise intelligent systems.

The Emergence of Small Language Models: Why Efficiency Is Overtaking Scale
As the AI industry confronts computational costs and environmental concerns, a new generation of compact models is proving that bigger isn't always better. Small language models are reshaping enterprise AI deployment.