Build AI
Quantitative, Head of Dataset & Quality
$250K–$500K
San Francisco · On-site · Director · Full-time · Posted Aug 30, 2026
About the job
Leads dataset design and quality strategy for physical-labor AI, determining what data to collect, how to measure its value, and when additional collection adds useful information.
What you'll do
- Define the ideal dataset, its objective function, taxonomy, and measures of coverage and quality.
- Set incremental-data value and collection strategy, and establish standards, acceptance criteria, and audits for operations and vendors.
- Coordinate with marketplace, software, research, and evaluation teams so dataset decisions inform model-capability measures.
What they ask for
- Quantitative background in research, statistics, decision science, or similar.
- Ability to assess scaling versus fidelity quantitatively.
- Experience with dataset design, collection strategy, or large-scale data programs.
- Comfort with in-the-wild collection and a company scaling across countries.
Nice to have
- Experience at a lab, quant fund, or large-scale data program; or designing production taxonomies, golden sets, or coverage models.
- Familiarity with in-the-wild collection, video, pose data, or setting quality standards and audits for collectors or vendors.
Pay
$250K – $500K (base salary)
Tools
video, pose data
AI focus
Develops and evaluates datasets for physical-labor AI, focusing on learnable information and how dataset decisions relate to model capability.
Model-written summary · the original posting is authoritative