AI Automation Engineer

Ztek Consulting, Inc.; United States; On-site; USD 90,000 - 130,000; Full time

Job summary

Ztek Consulting, Inc. in the United States is seeking a data labeling specialist to support autonomous systems projects. You will train, fine-tune, and validate computer vision models and build ground truth data collection and annotation pipelines for diverse sensor data.

The role requires defining annotation guidelines, performing QA, and collaborating with data engineering, QA, and AI teams to improve dataset quality and model performance. Knowledge of Python and ML data workflows is essential.

Qualifications

• Experience training, fine-tuning, and deploying ML models.
• Experience generating and managing camera and LiDAR datasets for perception or ML applications.
• Experience designing data collection pipelines and ground truth generation workflows.
• Experience in data annotation and quality assurance for autonomous systems.
• Ability to define annotation guidelines, identify labeling defects, and deliver measurable quality improvements.

Responsibilities

• Train, fine-tune, evaluate, and support deployment of ML models for computer vision or related tasks.
• 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.

Skills

Python

Data annotation

Quality assurance

Model evaluation

Automation

ML data pipelines

Tools

Git

Experiment tracking

Annotation tools

Job description

• 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
• Demonstrated ability to define annotation guidelines, identify labeling defects, and deliver measurable
• Strong Python skills and experience automating data validation, model evaluation, and machine
• Understanding of computer vision datasets, model metrics, experiment tracking, version control, and
• 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
• 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.