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Ai Labelling Jobs in Michigan (NOW HIRING)

AI/Computer Vision Engineer

Lansing, MI · On-site

$113K - $133K/yr

Perform data collection, labeling, and preprocessing for training AI models. * Optimize the performance of AI models for resource-constrained environments, ensuring low-latency inference on embedded ...

Review and label construction documents, permit applications, site plans, and inspection reports ... Evaluate AI-generated outputs for correctness in permit requirements, zoning constraints, and code ...

Senior Robotics Data Engineer - Only W2

Warren, MI · On-site

$99K - $135K/yr

... AI. · Familiarity with robotics simulation platforms (e.g., Isaac Sim) and synthetic data generation. · Experience with data labeling tools and annotation workflows at scale. · Hands-on knowledge ...

Inventory Specialist

Rochester Hills, MI · On-site

$16.25 - $20.75/hr

Label materials with internal part numbers and enter them into NetSuite. * Notify relevant teams of ... Gatik AI exec unpacks the regulations that could shape the AV industry * Business Wire: Gatik Paves ...

Inventory Specialist

Rochester Hills, MI

$16.25 - $20.75/hr

Label materials with internal part numbers and enter them into NetSuite. * Notify relevant teams of ... Gatik AI exec unpacks the regulations that could shape the AV industry * Business Wire: Gatik Paves ...

Flexographic Pressman

Kentwood, MI

$19.75 - $26.25/hr

Strong mechanical aptitude and problem-solving skills Experience with various label stocks and ink systems We may use artificial intelligence (AI) tools to support parts of the hiring process, such ...

Flexographic Pressman

Kentwood, MI · On-site

$22 - $26/hr

Strong mechanical aptitude and problem-solving skills Experience with various label stocks and ink systems $22 - $26 an hour We may use artificial intelligence (AI) tools to support parts of the ...

Flexographic Pressman

Kentwood, MI · On-site

$22 - $26/hr

Strong mechanical aptitude and problem-solving skills Experience with various label stocks and ink systems $22 - $26 an hour We may use artificial intelligence (AI) tools to support parts of the ...

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Ai Labelling information

What are some typical challenges faced in AI Labelling roles and how can they be managed?

One common challenge in AI Labelling roles is maintaining accuracy and consistency when labeling large volumes of data according to detailed guidelines, which can become repetitive or mentally taxing. Managing these challenges often involves taking regular breaks, double-checking work, and staying up-to-date with any updates to annotation standards provided by the team. Collaborating with supervisors and peers to clarify uncertainties and seek feedback also helps ensure high-quality output. Over time, professionals in this role often develop efficient workflows and a keen eye for detail, opening doors to advancement into quality assurance or project coordination positions within the data annotation field.

What is an AI Labelling job?

An AI labelling job involves annotating data—such as images, text, audio, or video—to help train machine learning models. This process includes tasks like tagging objects in images, transcribing speech, or categorizing text. The labelled data is crucial for AI systems to learn and make accurate predictions. These jobs are commonly found in industries like tech, healthcare, and autonomous driving. Attention to detail and consistency are key skills for this role.

What are the key skills and qualifications needed to thrive in the Ai Labelling position, and why are they important?

To thrive in an AI Labelling role, you need attention to detail, basic data analysis skills, and the ability to follow complex guidelines, with many roles requiring at least a high school diploma or equivalent. Familiarity with data annotation tools, image or text labeling platforms, and sometimes basic scripting or database systems is beneficial. Strong communication, time management, and the ability to work both independently and as part of a team are valuable soft skills. These competencies ensure the consistent and accurate labeling of data, which is critical for training high-quality AI and machine learning models.

What are popular job titles related to Ai Labelling jobs in Michigan? For Ai Labelling jobs in Michigan, the most frequently searched job titles are:
What cities in Michigan are hiring for Ai Labelling jobs? Cities in Michigan with the most Ai Labelling job openings:

AI/Computer Vision Engineer

Kasmo Global

Lansing, MI • On-site

$113K - $133K/yr

Other

Posted 4 days ago


Job description

AI/Computer Vision Engineer

We are looking for an innovative AI/Computer Vision Engineer to join our team. You will be responsible for developing and optimizing algorithms that enable collaborative robot (cobot) manipulators to perform advanced tasks such as object detection, obstacle avoidance, inventory tracking, and path optimization. This role involves a combination of artificial intelligence, machine learning, and computer vision techniques applied to real-world scenarios in dynamic warehouse and manufacturing environments. As part of the team, you will collaborate closely with robotics, software, and control systems engineers to ensure seamless integration of vision and AI-based solutions into our robotics systems. Your work will play a critical role in advancing the capabilities of our robots to navigate complex environments and carry out tasks with precision and efficiency.

Responsibilities
  • Design, develop, and implement computer vision and AI algorithms for segmentation, object detection, classification, localization, and tracking.
  • Create and optimize AI models for warehouse-specific tasks such as inventory tracking, object picking, and path optimization.
  • Utilize deep learning frameworks (e.g., TensorFlow, PyTorch) for training and deploying machine learning models on embedded systems.
  • Integrate AI and computer vision algorithms with ROS (Robot Operating System) for real-time deployment on autonomous robots.
  • Perform data collection, labeling, and preprocessing for training AI models.
  • Optimize the performance of AI models for resource-constrained environments, ensuring low-latency inference on embedded hardware.
  • Collaborate with robotics engineers to integrate AI and vision systems with sensors (cameras, LIDAR, etc.) and control systems.
  • Test and validate AI models in both simulation and real-world environments.
  • Document the development process, algorithms, and results for scalability and implementation.
Essential Skills & Qualifications
  • Education: PhD (or thesis-based master's with 3+ years of experience) in Computer Science, Electrical Engineering, Robotics, or a related field.

  • Experience: 3+ years of experience in AI/ML, perception, computer vision, and localization for robotics applications.

  • Proficiency in developing and deploying AI/ML algorithms, including deep learning techniques for object detection and tracking.

  • Strong understanding of image processing, feature extraction, and 3D perception techniques.

  • Proficiency in Python, C++, and deep learning frameworks (TensorFlow, PyTorch).

  • Experience with ROS (Robot Operating System) for real-time robotics applications.

  • Experience in deploying AI models on resource-constrained hardware and optimizing performance for real-time inference.

  • Experience in data collection, labeling, and preprocessing for AI training.

  • Strong analytical skills for developing solutions for emerging problems and continuous improvement.

Additional Skills & Qualifications
  • Experience with SLAM (Simultaneous Localization and Mapping) and multi-sensor fusion for improved navigation and localization.

  • Familiarity with point cloud processing for 3D environment understanding and obstacle detection.

  • Experience with GPU programming and CUDA for accelerating AI model inference.

  • Knowledge of cloud-based AI services for data processing, training, or deployment.

  • Understanding of safety and compliance standards in industrial robotics.

Work Environment

This role requires onsite work at a research and development facility. The environment is dynamic and involves collaboration with a multidisciplinary team of engineers. You will be working with cutting-edge technologies and equipment, including robot arms and Client RealSense cameras, in a setting that prioritizes innovation and precision.