Lead Data Strategy & Quality for Physical AI Datasets

Build AI; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Competitive pay

Medical, dental, and vision coverage

Housing subsidy?

Relocation support

Job summary

Build AI is seeking a data-focused researcher to define the ideal dataset for physical labor, including how to score and value incremental data. You will craft the taxonomy, establish data quality standards, and drive a scalable collection strategy across in-the-wild environments.

The role emphasizes quantitative thinking, objective-function design, and collaboration with research and software to optimize information gain and ROI in dataset construction.

Qualifications

• Quant background and data-focused mindset.
• Ability to discuss trade-offs between scale and data quality.
• Experience designing datasets and collection strategies.
• Experience with large-scale data programs and in-the-wild collection.

Responsibilities

• Define the ideal dataset and objective function for physical labor data.
• Design taxonomy and golden sets; establish acceptance criteria and auditability.

Skills

Quant background

Scaling vs fidelity

Dataset design

Large-scale data programs

Job description

Build AI is seeking a data-focused researcher to define the ideal dataset for physical labor, including how to score and value incremental data. You will craft the taxonomy, establish data quality standards, and drive a scalable collection strategy across in-the-wild environments.

The role emphasizes quantitative thinking, objective-function design, and collaboration with research and software to optimize information gain and ROI in dataset construction.