- Irving, Texas, United States
- On-site
- Full-time · Senior
- $113K–$183K per year
- 3+ years
- Visa sponsorship
A hands-on technical role focused on making data quality measurable, automated, and continuously improving at production scale.
Compensation
$112,710.00 - $183,140.00
Responsibilities
- Define data quality standards, acceptance criteria, and annotation guidelines for sensor data, labels, and captions used in perception and VLA datasets.
- Build automated quality gates that validate data at every stage, from ingestion and labeling through dataset publication.
- Develop and deploy AI-driven quality checks such as label-noise detection, consensus scoring, and caption verification using vision-language models (e.g., Cosmos Reason).
- Define and track dataset quality KPIs such as label accuracy, inter-annotator agreement, and rework rate, and share results through dashboards and reports.
- Audit internal and vendor annotations using gold datasets and statistical sampling, and manage annotation providers through scorecards, feedback loops, and SLAs.
Requirements
- Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Robotics, or a related field
- Nice to have: computer vision
- Nice to have: robotics
- Nice to have: autonomy
- Nice to have: Physical AI