Scale AI
Frontier Data Strategist
$161K–$241K
San Francisco, CA +3 · Full-time · Posted Apr 20, 2026
- Location
- San Francisco, CA
New York, NY
New York, New York, United States
San Francisco, California, United States - Experience
- 3+ years in a technical AI/ML role.
- Education
- A degree in CS, engineering, math, physics, or another quantitative field.
About the job
Shapes data strategy and designs human-data programs for frontier AI labs, while influencing Scale’s product roadmap and leading opportunities from scoping through signed programs.
What you'll do
- Own senior research-stakeholder relationships and set account data strategies across post-training, evaluation, and agent roadmaps.
- Lead cross-functional design and scoping of complex human-data programs, including forecasting and pricing opportunities through to signed programs.
- Represent customer needs in product planning, share frontier research insights internally, and mentor other strategists.
What they ask for
- 3+ years in a technical AI/ML role, such as ML engineering, research, applied science, technical product management, or post-training data work.
- Deep fluency in the LLM training lifecycle, especially post-training.
- Track record of owning senior technical stakeholder relationships and influencing their direction.
- Degree in CS, engineering, math, physics, or another quantitative field.
Nice to have
- Hands-on experience designing training data, evals, or RL environments.
- Graduate degree (PhD, MS) or published research in ML or a related field.
Pay
$160,800 — $241,000 USD (base salary)
Tools
LLM, SFT, preference data, reward modeling, RL environments, evaluations
AI focus
Develops data strategies and human-data programs for frontier model post-training, evaluation, and agent development.
Model-written summary · the original posting is authoritative