AI Automation Engineer

Volto Consulting; Dallas (TX); On-site; USD 90,000 - 140,000; Full time

Job summary

Volto Consulting in Dallas is seeking a data science specialist focused on training, fine-tuning, and deploying machine learning models, with emphasis on perception datasets and ground truth generation for autonomous systems.

You will design data collection pipelines, define annotation guidelines, automate quality checks, and collaborate with data engineering and AI teams to improve dataset health and model performance.

Qualifications

• Strong experience with data annotation for autonomous systems.
• Experience building data pipelines for perception datasets.
• Proficient in Python for automation, model evaluation, and data validation.
• Ability to define annotation guidelines and QA checks.
• Familiarity with camera/LiDAR data and ground truth generation.
• Collaborative with data engineering and AI teams.

Responsibilities

• Train, fine-tune, evaluate, and support deployment of ML models for computer vision.
• Design data collection pipelines and ground truth workflows.
• Create and enforce annotation guidelines; monitor labeling quality.
• Automate data validation, experiment tracking, and dataset reporting.
• Collaborate with cross-functional teams to improve data quality and throughput.

Skills

Python

Data annotation

Dataset management

Ground truth generation

Data collection pipelines

QA for autonomous systems

Model evaluation

Experiment tracking

Version control

Automation

Tools

Annotation tools

Git

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.

Generic Managerial Skills, If Any

Strong technical ownership, analytical problem solving, collaborative delivery, and clear communication