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Data Labeling Jobs in Michigan (NOW HIRING)

Robotics Data Engineer

Warren, MI · On-site

$107K - $128K/yr

... labeling tools and annotation workflows at scale. • Hands-on knowledge of TensorFlow and/or PyTorch from a data systems perspective. • Experience with Microsoft data ecosystems (e.g., Power BI ...

Senior Robotics Data Engineer - Only W2

Warren, MI · On-site

$99K - $135K/yr

... data labeling workflows to minimize manual annotation costs. · Enable simulation-to-real (Sim2Real) data workflows, including domain randomization and synthetic data generation. · Manage data ...

Senior AI/ML Engineer

Lansing, MI · On-site +1

$106K - $145K/yr

The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling tools and pipelines that power autonomous vehicle machine learning models within General Motors' AV ...

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Data Labeling information

See Michigan salary details

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How much do data labeling jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for data labeling in Michigan is $21.52, according to ZipRecruiter salary data. Most workers in this role earn between $14.14 and $24.70 per hour, depending on experience, location, and employer.

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

To thrive in Data Labeling, you need meticulous attention to detail, strong analytical abilities, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with data annotation tools, image or text editing software, and experience with platforms like Labelbox or Amazon SageMaker Ground Truth are commonly advantageous. Exceptional concentration, patience, and the ability to follow precise instructions are valuable soft skills in this position. These skills and qualities are essential for ensuring the accuracy and consistency of labeled datasets, which are critical for training reliable AI and machine learning models.

What is a Data Labeling job?

A Data Labeling job involves annotating or tagging data, such as images, text, audio, or videos, to help train machine learning models. Labelers follow specific guidelines to classify data accurately so that AI systems can learn patterns and make predictions. This role is essential in fields like computer vision, natural language processing, and speech recognition. Strong attention to detail and consistency are crucial for ensuring high-quality training datasets.

What are the typical day-to-day responsibilities of a Data Labeling professional?

A Data Labeling professional is primarily responsible for reviewing and accurately tagging images, text, audio, or video data according to specified guidelines. Daily tasks often include managing large datasets, using annotation software to classify data, and verifying the quality and accuracy of the labels. Collaboration with data scientists, project managers, and other annotators is common, especially when clarifying labeling guidelines or resolving ambiguities. Attention to detail is crucial, as high-quality labeled data directly impacts the effectiveness of machine learning models and AI applications. Most positions are structured in team environments, where productivity and communication skills help ensure project deadlines are met.

What are the most commonly searched types of Data Labeling jobs in Michigan? The most popular types of Data Labeling jobs in Michigan are:
What are popular job titles related to Data Labeling jobs in Michigan? For Data Labeling jobs in Michigan, the most frequently searched job titles are:
What cities in Michigan are hiring for Data Labeling jobs? Cities in Michigan with the most Data Labeling job openings:
Infographic showing various Data Labeling job openings in Michigan as of June 2026, with employment types broken down into 1% As Needed, 84% Full Time, 10% Part Time, and 5% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $44,770 per year, or $21.5 per hour.
Robotics Data Engineer

Robotics Data Engineer

AceStack LLC

Warren, MI • On-site

$107K - $128K/yr

Other

Posted 19 days ago


Job description

Role: Robotics Data Engineer
Location: Warren, MI
FTE
Job Description
• 3+ years of experience in data engineering, machine learning systems, robotics, or related fields.
• Master's degree in engineering, Computer Science, Data Science, or equivalent practical experience.
• Proven experience building production-grade data pipelines for ML/AI systems.
• Strong hands-on experience with Python-based data tooling.
• Experience working with large, complex, multimodal datasets.
• Systems thinking mindset with strong cross-functional collaboration skills.
• Direct experience supporting robotics perception, grasping, or manipulation AI.
• Familiarity with robotics simulation platforms such as Isaac Sim and synthetic data generation.
• Experience with data labeling tools and annotation workflows at scale.
• Hands-on knowledge of TensorFlow and/or PyTorch from a data systems perspective.
• Experience with Microsoft data ecosystems (e.g., Power BI, Azure data services).
• Exposure to self-supervised or weakly supervised learning techniques.
Roles & Responsibilities
• Design and implement scalable data pipelines for large-scale robotic datasets (vision, depth, tactile, force/torque).
• Build infrastructure to support high-throughput data capture from real robots and simulation environments.
• Develop and deploy semi-supervised / self-supervised data labeling workflows to reduce manual annotation cost.
• Enable simulation-to-real (Sim2Real) data workflows, including domain randomization and synthetic data generation.
• Own data versioning, metadata, and dataset governance to support model training, evaluation, and regression testing.
• Partner closely with Robotics Perception, Grasping AI, and Simulation teams to define data requirements and KPIs.
• Establish data quality metrics that directly correlate with perception and grasping performance

AceStack logo

About AceStack

Sourced by ZipRecruiter

AceStack is a global IT consulting & Staffing agency. We deal in Health care (Nursing, Allied, Clinical/Non-clinical) Staffing, Engineering Staffing & I.T. Staffing. Founded in 2017 in New Jersey, AceStack has reported consistent growth and profit every year and carries zero debt. AceStack consultants are placed across USA, Canada, Mexico, and Asia. In addition to our headquarters in New Jersey – USA, we also have offices in Canada, Noida, and Ahmedabad. AceStack’s exceptionally high-touch service keeps our clients satisfied and our Consultants/Travelers engaged. We believe in investing in our Consultants/Clients in a variety of ways. We employ AceStack ambassador who helps guide Consultants through the on-boarding process and ensure the transition into their new role with our Client is seamless. We also have dedicated Consultant care representatives located throughout our organization who provide the same level of attention throughout our Consultant’s tenure. Due to this level of attention and care, AceStack enjoys not only one of the highest retention rates in the staffing industry but also one of the highest redeployment rates in the industry.

Company size

51 - 200 Employees

Headquarters location

NJ, US

Year founded

2017

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