AI Automation Engineer (Data Annotation Services)

Location: Full-time onsite work five days a week at the Irving, Texas office (Dallas). Domestic relocation assistance is available. Visa sponsorship is available for eligible applicants.

Salary: $97,530–$158,480 per year.

Company

hirify.global develops construction and industrial equipment, connected asset technologies, and AI systems for autonomous and safer jobsites.

What you will do

• Develop and deploy automated labeling and captioning solutions for perception and Vision-Language-Action datasets.
• Train, fine-tune, and evaluate machine learning models for auto-labeling, auto-captioning, and annotation quality assurance.
• Build data pipelines covering automated labeling, human review, quality validation, and dataset publication.
• Extend NVIDIA Cosmos Curator, Cosmos Reason, and other AI automation technologies.
• Integrate hirify.global data systems with external annotation providers and human-in-the-loop workflows.
• Ensure reliability, scalability, observability, and operational excellence across annotation automation services.

Requirements

• Bachelor’s degree in computer science, software engineering, artificial intelligence, machine learning, robotics, or a related field.
• Production-grade software development experience with Python, modern engineering practices, and containerization platforms such as Docker and Kubernetes.
• Experience designing distributed systems, APIs, and data processing pipelines.
• Experience training, fine-tuning, or deploying machine learning models, using tools such as PyTorch, TensorFlow, ONNX, Weights & Biases, or MLflow.
• Experience with camera and LiDAR datasets, data collection pipelines, ground truth generation, annotation guidelines, and quality assurance for autonomous systems or computer vision.
• Experience with annotation and dataset management tools such as Labelbox, Supervisely, or RoboFlow.

Nice to have

• Experience with computer vision, robotics, autonomy, Physical AI, or multimodal AI systems.
• Experience with AI-assisted annotation, auto-labeling, foundation models, vision models, or multimodal models.
• Experience with NVIDIA Cosmos Curator, Cosmos Reason, Vision-Language-Action datasets, or similar platforms.
• Experience with cloud platforms, MLOps, machine learning deployment pipelines, or human-in-the-loop quality automation.

Culture & Benefits

• Work on AI systems for physical machines, construction autonomy, and real-world sensor data.
• Medical, dental, and vision benefits, paid time off, and parental and adoption benefits.
• 401(k) savings plans, HSA, FSAs, disability benefits, and life insurance.
• Career development, tuition reimbursement, employee assistance, and employee discounts.
• Incentive bonus and voluntary benefits are available subject to plan eligibility.