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About This Opportunity
About Ethos
We're building AI to make humans irreplaceable. Ethos is the platform that matches human expertise to paid opportunities, from AI model training to advisory roles and full-time positions, backed by a16z, General Catalyst and other top investors.
What You'll Work On
- Designing and building RL environments and data generation pipelines that feed into post-training workflows
- Agentic infrastructure that sources, screens, and routes domain experts at scale
- Evaluation frameworks to close the loop between data quality and model performance
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
This is an early-stage role with meaningful equity. If you've built things that matter at companies that didn't have all the answers, we'd love to talk.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Key Requirements
- Hands-on experience building RL environments or generating data for post-training (RLHF, RLAIF, preference data, evals) — this is central to the role
- Startup experience — you've shipped in resource-constrained environments and taken real ownership
- Strong background building AI/agentic applications (LLM pipelines, tool use, evals)
- Generalist instincts - you'd rather solve the problem than protect your lane
- Comfortable across the stack: backend, infra, and ML tooling
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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