Anyone, anywhere in the world can apply.
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Who can apply
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Anyone, anywhere in the world can apply.
“Remote, anywhere (with overlap with European afternoons)”
Team operates remotely worldwide with overlap required during European afternoon meeting hours.
- Async-first
- Requires live overlap with European afternoons when most company meetings occur.
- Contractor / B2B
- No mention of hiring international contractors or invoicing.
- Global stipend
- No home office or equipment budget mentioned.
- Annual retreat
- No company-paid get-togethers mentioned.
Read from the listing automatically. Always confirm the details with the company before you accept an offer.
About the role
In this role, you will build systems powered by AI agents to automate and optimize the training of neural networks and synthetic data pipelines. You will take ownership of model loops, fine-tune vision-language models, resolve customer detection problems, and expand agent architectures into QA and bug-fixing automation.
What you'll do
- Learn, maintain, and improve the synthetic data pipeline and automated training system.
- Build closed loops where agents train, validate, and enhance object detectors and classifiers with minimal human intervention.
- Design systems to handle field false positives by flagging edge cases and resolving others automatically.
- Lead research on fine-tuning vision-language models and leveraging agents to adopt cutting-edge techniques.
- Apply agent harnesses across broader software systems, including QA automation and self-healing codebases.
- Share successful methodologies with the engineering team and present technical outcomes to customers when required.
What you bring
- Proven experience building custom agent harnesses, agentic workflows, or multi-agent systems.
- Experience managing multi-agent challenges like inter-agent communication, token optimization, and task completion verification.
- Professional software engineering background on Windows and Linux using Git and issue trackers.
- Hands-on experience fine-tuning, quantizing (e.g., LoRA), and running open-source models locally.
- Deep understanding of the modern model landscape and where various models excel or struggle.
- Advanced English (C1) proficiency with clear technical communication skills.
About CVEDIA
CVEDIA builds computer vision models and applications trained on synthetic data for deployment on edge and server hardware worldwide. The company operates a modern, agent-first development culture across all internal workflows.
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