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Data Curation Ai Machine Learning Jobs in Illinois

The Hartford

Sr AI Machine Learning Engineer

Chicago, IL · Hybrid

$117K - $175K/yr

Sr Data Engineer - GE07BE We're determined to make a difference and are proud to be an insurance ... The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations ...

The Hartford

Senior AI Machine Learning Engineer

Chicago, IL · Hybrid

$126K - $166K/yr

Sr Data Engineer - GE07BE We're determined to make a difference and are proud to be an insurance ... The Hartford seeks a driven, team-focused Senior AI Machine Learning Engineer to build Machine ...

TEKsystems

AI Machine Learning Engineer

Bloomington, IL · Remote

$50 - $70/hr

Some of the APIs provide data and this side of AWS plus the prompt engineering side of it. Lambdas ... AI strategy in this area for all of Life Underwriting • Machine Learning Engineer with proven ...

The Hartford

Sr AI Machine Learning Engineer

Chicago, IL · Hybrid

$117K - $175K/yr

Sr Data Engineer - GE07BE We're determined to make a difference and are proud to be an insurance ... The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations ...

The Hartford

Senior AI Machine Learning Engineer

Chicago, IL

$126K - $166K/yr

Sr Data Engineer - GE07BE We're determined to make a difference and are proud to be an insurance ... The Hartfordis seeking aSenior AI Machine Learning Engineerwithin Employee Benefits Applied AI and ...

TSMG

AI/ML Data Contributor

Chicago, IL · On-site

In this role, you will participate in tasks that help improve machine learning models, including ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

TSMG

AI/ML Data Contributor

Chicago, IL

In this role, you will participate in tasks that help improve machine learning models, including ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

TSMG

AI/ML Data Contributor

Chicago, IL

In this role, you will participate in tasks that help improve machine learning models, including ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

TSMG

AI/ML Data Contributor

Chicago, IL · On-site

In this role, you will participate in tasks that help improve machine learning models, including ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

TSMG

AI/ML Data Contributor

Chicago, IL

In this role, you will participate in tasks that help improve machine learning models, including ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

TSMG

AI/ML Data Contributor

Chicago, IL · On-site

In this role, you will participate in tasks that help improve machine learning models, including ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

TSMG

AI/ML Data Contributor

Chicago, IL · On-site

In this role, you will participate in tasks that help improve machine learning models, including ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

TSMG

AI/ML Data Contributor

Chicago, IL · On-site

In this role, you will participate in tasks that help improve machine learning models, including ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

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Data Curation Ai Machine Learning information

What is a data curation AI machine learning specialist?

A Data Curation AI/Machine Learning specialist is a professional who manages, organizes, and prepares large datasets to be used in artificial intelligence and machine learning projects. They ensure that data is accurate, relevant, and accessible, often cleaning and labeling data so it can be effectively used to train machine learning models. Their role bridges the gap between raw data sources and the teams building AI solutions, enabling more reliable and efficient model development. They may also work with data governance, privacy, and compliance issues to ensure data quality and security.

What are the key skills and qualifications needed to thrive as a data curation AI machine learning specialist?

To thrive as a Data Curation AI Machine Learning Specialist, you need strong data management skills, a background in computer science or data science, and experience with machine learning principles. Familiarity with programming languages like Python or R, data labeling tools, and database systems, as well as certifications in machine learning or data engineering, are typically required. Attention to detail, critical thinking, and effective communication stand out as essential soft skills for managing complex datasets and collaborating with cross-functional teams. These skills ensure high-quality, well-organized data that drives accurate machine learning models and reliable AI outcomes.

What are some common challenges faced by data curation professionals working in AI and machine learning projects?

One of the key challenges data curation specialists encounter in AI and machine learning is ensuring the quality and consistency of large, diverse datasets. This often involves dealing with missing, incomplete, or biased data, which can impact model performance. Additionally, data curators must navigate evolving data privacy regulations and work closely with data scientists, engineers, and domain experts to align data preparation with project goals. Effective communication and a meticulous approach are crucial for maintaining data integrity and supporting robust machine learning outcomes.

What is the difference between Data Curation Ai Machine Learning vs Data Analyst?

AspectData Curation Ai Machine LearningData Analyst
Primary FocusPreparing and managing data for AI and ML modelsAnalyzing data to generate business insights
Skills RequiredData management, programming, understanding of AI/ML algorithmsStatistical analysis, data visualization, Excel, SQL
Tools UsedPython, R, SQL, data cleaning toolsExcel, Tableau, SQL, statistical software
Work EnvironmentData science teams, AI/ML projects, tech companiesBusiness departments, analytics teams, consulting firms

While Data Curation Ai Machine Learning specialists focus on preparing data for AI and machine learning models, Data Analysts interpret data to support business decisions. Both roles require strong data skills but differ in their primary objectives and tools used.

What are popular job titles related to Data Curation Ai Machine Learning jobs in Illinois?

For Data Curation Ai Machine Learning jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Data Curation Ai Machine Learning jobs in Illinois look for?

The top searched job categories for Data Curation Ai Machine Learning jobs in Illinois are:

What cities in Illinois are hiring for Data Curation Ai Machine Learning jobs?

Cities in Illinois with the most Data Curation Ai Machine Learning job openings:

Data Curation Ai Machine Learning jobs near you
Infographic showing various Data Curation Ai Machine Learning job openings in Illinois as of August 2026, with employment types broken down into 12% Internship, 59% Full Time, and 29% Contract. Highlights an 100% In-person job distribution.

AI & Machine Learning Engineer

Lightspeed

Northbrook, IL • On-site

Full-time

Re-posted 14 days ago

Job description

Job Summary:
LightSpeed Build Technologies is revolutionizing the construction industry through AI-powered robotics. As an AI & Machine Learning Engineer, you will design, build, and deploy intelligent systems for construction robots, focusing on machine learning models for computer vision, predictive analytics, and process optimization.
Responsibilities:
• Design, train, and deploy ML models for robotic control, quality prediction, and process optimization
• Develop reinforcement learning and imitation learning systems for robot task planning
• Build predictive maintenance models using sensor data to anticipate equipment failures
• Implement anomaly detection for real-time quality monitoring during automated assembly
• Optimize model inference for edge deployment on GPU-accelerated hardware in production
• Develop deep learning pipelines for object detection, segmentation, and pose estimation
• Build real-time vision systems for robotic guidance, workpiece tracking, and dimensional verification
• Implement 3D point cloud processing for construction material recognition
• Design and train models for visual quality inspection using depth cameras and industrial imaging
• Build ML data pipelines from sensor acquisition through model training and deployment
• Establish data labeling, versioning, and management workflows for training datasets
• Implement model monitoring, A/B testing, and continuous improvement in production
• Design experiment tracking and reproducibility infrastructure (MLflow, Weights & Biases)
• Integrate ML models with ROS2-based robot control for real-time inference
• Optimize models for NVIDIA Jetson, industrial PCs, and edge computing platforms
• Collaborate with robotics engineers on sensor selection, placement, and calibration
• Support scaling ML systems across multiple production cells and sites
Qualifications:
Required:
• 4+ years hands-on ML engineering building and deploying production models
• Deep proficiency with PyTorch or TensorFlow for model development and training
• Strong computer vision experience: object detection, segmentation, depth estimation, or 3D vision
• Understanding of reinforcement learning, imitation learning, or robot learning approaches
• Experience optimizing ML models for edge deployment (TensorRT, ONNX, quantization)
• Strong Python with experience in C++ for performance-critical components
• Experience with ML infrastructure: data pipelines, experiment tracking, model serving
• Proficiency with Linux, Docker, Git, and CI/CD workflows
• Understanding of real-time system constraints for ML inference in production
Preferred:
• MS or PhD in Machine Learning, Computer Science, Robotics, or related field
• Experience with robotics simulation: MuJoCo, IsaacSIM, or similar
• Background in manufacturing, industrial automation, or construction technology
• Experience with ROS/ROS2 integration for ML-powered robotics
• Published research or patents in computer vision, robot learning, or related ML
• Experience with NVIDIA ecosystem: CUDA, cuDNN, TensorRT, Jetson platforms
Company:
BUILDING TOMORROW'S HOMES, FASTER AND SMARTER The Lightspeed Integrated Walls, Floors and Roof Systems are built with advanced software and AI driven industrial robots, allowing us to seamlessly craft the walls, floors and roofs, integrating the framing, MEPs, insulation, and drywall in a single, efficient manufacturing line. Founded in , the company is headquartered in , , with a team of 11-50 employees. The company is currently Early Stage.

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