Post-Training Research Scientist (LLMs) — Experimental Track
Vetto, Flexible (EU-friendly time zones preferred) +1
About the job
About us
Vetto is a global talent platform connecting top-tier professionals to high-impact AI projects around the world. Our mission is to build trust, quality, and long-term value in the AI ecosystem - for both exceptional talents and companies operating at the frontier of technology.
About the role
This role sits at the heart of Vetto’s mission: using high-quality human data to build AI systems that make the world better. You’ll take raw expert signals and turn it into tangible model improvement, experimenting rapidly and carving new paths in post-training. With full autonomy and no production constraints, you’ll have the freedom to try unconventional ideas and see their impact quickly.
Key Responsibilities
- Design and run post-training experiments on frontier and open-weight LLMs (SFT, preference-based methods, rubric-driven training)
- Translate raw annotation artifacts (multi-step solutions, evaluations, adversarial prompts) into training-ready datasets.
- Prototype new reward signals beyond pairwise preferences (rubrics, constraints, structured critics).