Related skills
sql python llm rlhf ciπ Description
- Engage with leading LLM labs to advance STEM-domain LLMs
- Build and lead SPLs and oversee client data workstreams.
- Define and understand STEM data quality rubrics
- Drive data generation ops with PMO reporting
- Set headcount, budget, vendor strategy, and capacity models to scale
π― Requirements
- STEM degree in CS, Math, Stats, EE, or related.
- 10+ years in data/ML analytics or data products; 4+ years leading teams.
- Deep command of AI data lifecycle: sourcing, labeling, QA, evals.
- Fluency in Python/SQL and modern data/ML stacks (cloud) with labeling/QC.
- Proven track record turning research into deployable data products.
- RLHF/RLAIF pipelines, multimodal data, safety evals.
- Built/operated human-in-the-loop programs at scale with QA.
- Familiar with data licensing, IP, safety/privacy constraints for AI training.
π Benefits
- Collaborative culture; 5 days a week.
- Colleagues from Meta, Google, LinkedIn and startup veterans.
- Competitive compensation.
- Flexible working hours.
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