Data Annotation Engineer Jobs in Kentucky (NOW HIRING)

Transforming the Future with Convergence of Simulation and Data
Manufacturing Innovation Advanced Technology Engineer
Job Summary:
Our client in Georgetown, KY is looking for a Manufacturing Innovation Advanced Technology Engineer. This is a contract position.
What You Will Do:
Our Client'sManufacturing Project Innovation Center (Manufacturing Innovation) - Advanced TechnologyDepartment is looking for a passionate and highly motivatedAdvanced Technology Engineer.
The primary responsibility of this role is:

• Model Development & Training Speed .
  • Design and implement computer vision models for defect detection, segmentation, and classification.
  • Accelerate training cycles using synthetic data, active learning, and domain randomization to cover rare defects and specification variance.
• Production Deployment.
  • Package models and services using Docker and manage deployments through Kubernetes or equivalent orchestration tools.
  • Implement version control, rollback strategies, and observability for latency, drift, and false-positive/false-negative metrics.
• Edge Optimization.
  • Optimize inference for edge and embedded hardware (e.g., NVIDIA Jetson, Intel accelerators) to meet strict real-time latency requirements for moving-line inspection.
  • Ensure consistent performance under varying lighting, optics, and surface conditions.
• Integration with Manufacturing Systems.
  • Integrate vision systems with PLCs, encoders, triggers, and industrial networks using OPC-UA, MQTT, and REST protocols.
  • Align deployments with Our Client's ICS+, GALC, and TVIP architecture standards for plant-level connectivity and reliability.
• Data Strategy & Quality Control.
  • Lead data collection campaigns, manage annotation workflows, and establish quality gates for model validation.
  • Utilize synthetic data pipelines and augmentation techniques to improve model robustness and reduce training time.
• Reliability & Sustainment.
  • Ensure uptime and availability targets are met through proactive monitoring, calibration (MSA), and backup/restore processes.
  • Implement drift detection, audit false-out risks, and perform root cause analysis for inspection failures.

Reporting to the Manufacturing Innovation Manager, the person in this role will support the Production Engineering Division and SOAR Group's objective to improve manufacturing competitiveness.
What you'll be doing:

• Develop and deploy production-grade machine learning models for industrial vision inspection systems across Our Client's manufacturing lines.
• Accelerating model development and training using advanced techniques such as synthetic data generation, ensuring high accuracy and generalization, and delivering containerized software optimized for edge hardware.
• Development of new technologies for PE and Manufacturing competitiveness improvement.
• Lead and manage projects from concept to launch for new technology first introduction to manufacturing including creating schedules, establishing punch lists, and meeting established due dates and milestones.
• Search for innovative solutions, test them in a manufacturing setting, and develop business case justification to gain approval to purchase if trials prove successful.
• Close collaboration between both internal and external groups across Our Client including North American Manufacturing Centers (NAMCs), Our Client's Motor Corp (MC), Our Client's Technical Center (TTC) , PE support shops, IT (One Tech) teams, automation teams & Plano divisions, to ensure quality and to integrate robust AI solutions into high-volume manufacturing environments.

Basics:

• Ability to deliver production-ready AI solutions under strict timelines.
• Strong problem-solving and cross-functional collaboration skills.
• Commitment to quality, reliability, and continuous improvement in manufacturing environments Ability to travel to all North American Manufacturing Centers (NAMC's)-- including Canada and Mexico; and to Our Client's Motor Corp (MC)-- Japan.
• Experience with project management including writing detailed scope of work, creating schedules, managing vendors/contractors, and providing regular status updates (Y/N - text follow up).
• Bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Science, Information Technology or related field.
• 5 years of experience in industrial machine vision and edge AI deployment.
• Proficiency in Python and C++ with strong knowledge of ML frameworks (PyTorch, TensorFlow).
• Hands-on experience with containerization (Docker) and orchestration (Kubernetes).
• Familiarity with ONNX Runtime, TensorRT, and optimization for embedded hardware.
• Experience integrating vision systems with PLCs and industrial protocols (OPC-UA, MQTT).
• Experience managing the full model lifecycle: data collection, labeling, validation, rollout, monitoring, and retraining.
• Experience in areas such as object detection, classification, segmentation and familiarity with mainstream object detection and semantic/instance segmentation models.
• Familiarity with industrial cameras, lighting, and optics, including trigger-based image capture.
• Experience balancing inspection accuracy with false positives vs flow-out risk in quality.

Preferred:

• Master's Degree in Engineering or Advanced Degree in related fields.
• Academic research experience in new technology.
• Project management work involving internal and external parties - 6 months or greater.
• Experience deploying equipment including establishing RJ, PFMEA, and quality control plan.
• Experience deploying automotive production equipment.
• Experience in Robotics to include operation, teaching, maintenance, and safety.
• Expertise in synthetic data generation techniques (GANs, VAEs, NeRFs, Blender) and domain randomization for model generalization.
• Experience with high-speed inline inspection systems and vision-based process control.
• Knowledge of IIoT data pipelines and messaging standards.
• Strong understanding of calibration, measurement system analysis (MSA), and quality-critical inspection requirements.

How You Will Be Successful:

• Envision the Future
• Communicate Honestly and Broadly
• Seek Technology and Business "First"
• Embrace Diversity and Take Risks

What We Offer:

• Competitive Salary
• Comprehensive Benefit Package
• 401(k) with matching contributions
• Paid Time Off
• Employee Discounts
• Free training on all Altair products

Why Work with Us:
Altair is a global technology company providing software and cloud solutions in the areas of data analytics, product development, and high-performance computing (HPC). Altair enables organizations in nearly every industry to compete more effectively in a connected world, while creating a more sustainable future. With more than 3,000 engineers, scientists, and creative thinkers in 25 countries, we help solve our customer's toughest challenges and deliver unparalleled service, helping the innovators innovate, drive better decisions, and turn today's problems into tomorrow's opportunities.
Our vision is to transform customer decision making with data analytics, simulation, and high-performance computing.
For more than 30 years, we have been helping our customers integrate electronics and controls with mechanical design to expand product value, develop AI, simulation and data-driven digital twins to drive better decisions, and deliver advanced HPC and cloud solutions to support unlimited idea exploration. To learn more, please visit altair.com
Ready to go? #ONLYFORWARD
At our core we are explorers; adventures; pioneers. We are the brains behind some of the world's most revolutionary innovations and are not only comfortable in new and unchartered waters, we dive headfirst. We are the original trailblazers that make the impossible possible, discovering new solutions to our customer's toughest challenges.
Altair is an equal opportunity employer. Our backgrounds are diverse, and every member of our global team is critical to our success. Altair's history demonstrations a belief that empowering each individual authentic voice reinforces a culture that thrives because of the uniqueness among our team.