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$200,000 – $300,000
Listed on Labelbox’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role embeds research scientists directly into client engagements at frontier AI labs, where you'll validate data strategies through rapid experimentation and fine-tuning rather than pursuing months-long research questions. It suits researchers who thrive on applied problems, client interaction, and delivering publishable results within weeks.
Our summary, not Labelbox’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- MS or PhD in Machine Learning, NLP, Computer Science, or related quantitative field
- Hands-on experience fine-tuning open-weight models
- Strong understanding of LLM training pipelines and how data quality affects each stage
- Experience designing and executing rigorous experiments with hypothesis formation and statistical analysis
- Ability to move from problem definition to results in days
- Strong written and verbal communication
Nice to have
- Prior experience at a frontier AI lab, applied ML startup, or research role with direct client interaction
- Experience evaluating and benchmarking LLMs with custom metrics
- Familiarity with annotation workflows, quality assurance, and inter-annotator agreement
- Experience with reinforcement learning, reward modeling, or RLHF
- Published research in ML/NLP or adjacent fields