Job Title: AI Automation Engineer
Location: Dallas, TX/ Remote - EST / CST time zone candidates
Employment Type: Full Time
Experience: 8 years
Must Have Technical/Functional Skills
- Demonstrated experience training, fine-tuning, and deploying machine learning models.
- Demonstrated experience generating and managing camera and LiDAR sensor datasets for perception or machine learning applications.
- Experience designing data collection pipelines and ground truth generation workflows.
- Demonstrated experience in data annotation and quality assurance for autonomous systems or computer vision projects.
- Demonstrated ability to define annotation guidelines, identify labeling defects, and deliver measurable improvements in dataset accuracy.
- Strong Python skills and experience automating data validation, model evaluation, and machine learning workflows.
- Understanding of computer vision datasets, model metrics, experiment tracking, version control, and deployment practices.
Roles & Responsibilities
- Build automation for sensor-data ingestion, curation, sampling, annotation preparation, validation, and release.
- Train, fine-tune, evaluate, and support deployment of machine learning models for computer vision or perception use cases.
- Design camera and LiDAR data collection and ground truth generation pipelines.
- Define annotation guidelines, acceptance criteria, and automated checks for label completeness, consistency, and accuracy.
- Analyze labeling defects and model-error patterns, then implement corrective actions and measurable quality improvements.
- Create reporting for dataset health, annotation quality, model performance, and workflow throughput.
- Collaborate with data engineering, annotation operations, quality, and AI teams.
Generic Managerial Skills, If Any
Strong technical ownership, analytical problem solving, collaborative delivery, and clear communication
with cross-functional teams