As the first dedicated data hire, you will architect the end-to-end data strategy for a platform creating authentic, real-time AI humans. You will build massive pipelines for multimodal datasets—including video, audio, and text—powering proprietary models at the frontier of AI research. This is a foundational role defining best practices.
Data Engineer / ML Ops at VC-backed multimodal AI startup
Are you ready to build the data foundation for the next generation of AI humans? We are looking for a Data Engineer to own the entire strategy for our multimodal datasets, building massive pipelines that power real-time video and audio models. This fully remote role offers the chance to work directly with founders on high-impact infrastructure while shaping the future of conversational AI.
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Location
Remote
Compensation
Not Disclosed
Company
Confidential company
Role overview
About the company
VC-backed multimodal AI startup
What you will do
- Source, curate, and structure large-scale multimodal datasets (video, audio, and text) for proprietary model training.
- Architect and optimize high-performance data pipelines and automated labeling workflows to scale ML production.
- Define engineering best practices and proactively build the data foundation that powers next-generation conversational AI.
Who this is a fit for
- Expert proficiency in Python, SQL, and building large-scale data processing systems in a production environment.
- Proven experience working with LLMs and managing complex multimodal data challenges like video and audio.
- A startup builder mentality with extreme ownership and the ability to define standards in new problem spaces.
Why this role is remarkable
- Own the entire data strategy and infrastructure from scratch for a pioneering multimodal AI platform.
- Join a well-funded, Series B backed startup supported by some of the world’s leading venture firms.
- Work directly with founders on complex problems with no established playbook at the intersection of video and AI.
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