Lead, Annotation Programs & Data Quality

We Love AI Jobs; San Francisco (CA); On-site; USD 165,000 - 210,000; Full time

Job summary

We Love AI Jobs is seeking an experienced Portfolio Lead for Physical Intelligence in San Francisco to manage multiple annotation programs end-to-end. You will work with researchers to translate data needs into clear requirements, drive quality improvements, and balance speed with accuracy in a fast-paced, on-site environment.

You will collaborate across researchers, engineers and vendors, shaping scalable processes, setting rubrics, and ensuring reliable labeled data for model development.

Qualifications

• 5+ years in program management or related operations.
• Strong understanding of data quality and annotation needs.
• Experience with model training and evaluation workflows.
• Proven ability to align researchers, engineers and stakeholders.

Responsibilities

• Own end-to-end performance for a portfolio of annotation programs.
• Collaborate with researchers to define and refine annotation requirements.
• Identify operational issues and implement scalable improvements.
• Foster clarity and alignment across technical and nontechnical stakeholders.

Skills

Program management

Data annotation

Data quality

Model training and evaluation

Operations improvement

Stakeholder management

Coding agents

Job description

We Love AI Jobs is seeking an experienced Portfolio Lead for Physical Intelligence in San Francisco to manage multiple annotation programs end-to-end. You will work with researchers to translate data needs into clear requirements, drive quality improvements, and balance speed with accuracy in a fast-paced, on-site environment.

You will collaborate across researchers, engineers and vendors, shaping scalable processes, setting rubrics, and ensuring reliable labeled data for model development.