Robotics Data Engineer
$107K - $128K/yr
... 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 ...
Robotics Data Engineer
$107K - $128K/yr
... 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 ...
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 ... We partner closely across AI/ML engineers , Product Operations , Product Management , Data Science ...
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 ... We partner closely across AI/ML engineers , Product Operations , Product Management , Data Science ...
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 ...
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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 ...
Data Protection Sr. Analyst
Detroit, MI · Hybrid
$84K - $100K/yr
Familiarity with Copilot/AI data risk considerations and emerging security controls. * Basic understanding of data classification/labeling, DLP policies and rules, and regulatory concepts (e.g., GDPR ...
Data Protection Sr. Analyst
Detroit, MI · Hybrid
$84K - $100K/yr
Familiarity with Copilot/AI data risk considerations and emerging security controls. * Basic understanding of data classification/labeling, DLP policies and rules, and regulatory concepts (e.g., GDPR ...
Data Protection Manager
Detroit, MI · On-site +1
$150K - $178K/yr
Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced ... Build awareness and controls for emerging AI and agentic AI security considerations (e.g., Security ...
Data Protection Manager
Detroit, MI · On-site +1
$150K - $178K/yr
Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced ... Build awareness and controls for emerging AI and agentic AI security considerations (e.g., Security ...
Join Automation, Robotics & Controls (ARC) AI team as a Robotics Data Collection Engineer. In this ... Organize, label, and validate data according to established annotation guidelines and quality ...
Quick apply
Join Automation, Robotics & Controls (ARC) AI team as a Robotics Data Collection Engineer. In this ... Organize, label, and validate data according to established annotation guidelines and quality ...
Senior Robotics Data Collection Engineer - Only W2
Warren, MI · On-site
$99K - $135K/yr
... Organize, label, and validate data according to established annotation guidelines and quality ... AI engineers, robotics engineers, and manufacturing teams to ensure data meets model training ...
Quick apply
Senior Robotics Data Collection Engineer - Only W2
Warren, MI · On-site
$99K - $135K/yr
... Organize, label, and validate data according to established annotation guidelines and quality ... AI engineers, robotics engineers, and manufacturing teams to ensure data meets model training ...
Entry Level Remote AI Specialist Veteran-Friendly
Detroit, MI · Remote
$35 - $50/hr
WHAT YOU'LL DO • Assist in testing, evaluating, and refining AI tools and workflows • Label and annotate data to train and improve AI models • Document AI outputs and flag errors or ...
Entry Level Remote AI Specialist Veteran-Friendly
Detroit, MI · Remote
$35 - $50/hr
WHAT YOU'LL DO • Assist in testing, evaluating, and refining AI tools and workflows • Label and annotate data to train and improve AI models • Document AI outputs and flag errors or ...
Senior Technical Program Manager, Simulation
Warren, MI · On-site
$106K - $192K/yr
Work spans architecture, safety requirements, model development, data labeling, and continuous ... to AI/ML, robotics, or complex software systems * Bachelor's degree in Engineering, Computer ...
Senior Technical Program Manager, Simulation
Warren, MI · On-site
$106K - $192K/yr
Work spans architecture, safety requirements, model development, data labeling, and continuous ... to AI/ML, robotics, or complex software systems * Bachelor's degree in Engineering, Computer ...
Cyber Data Protection Manager
Detroit, MI · Remote
$109K - $148K/yr
DLP, sensitivity labels, data classification, DSPM, DSPM for AI, on-demand classification, or related Microsoft 365 data security capabilities * Knowledge of AI security and governance concepts ...
Cyber Data Protection Manager
Detroit, MI · Remote
$109K - $148K/yr
DLP, sensitivity labels, data classification, DSPM, DSPM for AI, on-demand classification, or related Microsoft 365 data security capabilities * Knowledge of AI security and governance concepts ...
Labeling experience is a plus The pay range is the lowest to highest compensation we reasonably in ... Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce ...
Labeling experience is a plus The pay range is the lowest to highest compensation we reasonably in ... Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce ...
... label coverage, DLP incident rate, retention drift, and AI prompt-risk indicators, alert rules on ... Data classification using built-in, custom keyword, custom regex, exact-data-match , and trainable ...
... label coverage, DLP incident rate, retention drift, and AI prompt-risk indicators, alert rules on ... Data classification using built-in, custom keyword, custom regex, exact-data-match , and trainable ...
... label coverage, DLP incident rate, retention drift, and AI prompt-risk indicators, alert rules on ... Data classification using built-in, custom keyword, custom regex, exact-data-match , and trainable ...
Quick apply
... label coverage, DLP incident rate, retention drift, and AI prompt-risk indicators, alert rules on ... Data classification using built-in, custom keyword, custom regex, exact-data-match , and trainable ...
... label coverage, DLP incident rate, retention drift, and AI prompt-risk indicators, alert rules on ... Data classification using built-in, custom keyword, custom regex, exact-data-match , and trainable ...
... label coverage, DLP incident rate, retention drift, and AI prompt-risk indicators, alert rules on ... Data classification using built-in, custom keyword, custom regex, exact-data-match , and trainable ...
AI Operations: Data labeling and specialized linguistic roles. * AV Operations: Autonomous Vehicle Dispatch Support and Roadside Support * Support & Ops: HR, Recruitment, IT Support, and Team ...
AI Operations: Data labeling and specialized linguistic roles. * AV Operations: Autonomous Vehicle Dispatch Support and Roadside Support * Support & Ops: HR, Recruitment, IT Support, and Team ...
Staff AI/ML Vehicle Motion Control Engineer - Vehicle System Controls
Milford, MI · On-site
$73K - $95K/yr
The Staff AI/ML Vehicle Motion Control Engineer will be a key technical leader in GM's Vehicle ... Define data workflows for collection, curation, labeling, and feature engineering from simulation ...
Staff AI/ML Vehicle Motion Control Engineer - Vehicle System Controls
Milford, MI · On-site
$73K - $95K/yr
The Staff AI/ML Vehicle Motion Control Engineer will be a key technical leader in GM's Vehicle ... Define data workflows for collection, curation, labeling, and feature engineering from simulation ...
This is not AI applied at the margins. It is a ground-up rebuild of the decision-making machinery ... and operational data and from clinical-expert labeling - turning guidelines, policy, and ...
This is not AI applied at the margins. It is a ground-up rebuild of the decision-making machinery ... and operational data and from clinical-expert labeling - turning guidelines, policy, and ...
This is not AI applied at the margins. It is a ground-up rebuild of the decision-making machinery ... and operational data and from clinical-expert labeling - turning guidelines, policy, and ...
This is not AI applied at the margins. It is a ground-up rebuild of the decision-making machinery ... and operational data and from clinical-expert labeling - turning guidelines, policy, and ...
This is not AI applied at the margins. It is a ground-up rebuild of the decision-making machinery ... and operational data and from clinical-expert labeling - turning guidelines, policy, and ...
This is not AI applied at the margins. It is a ground-up rebuild of the decision-making machinery ... and operational data and from clinical-expert labeling - turning guidelines, policy, and ...
This is not AI applied at the margins. It is a ground-up rebuild of the decision-making machinery ... and operational data and from clinical-expert labeling - turning guidelines, policy, and ...
This is not AI applied at the margins. It is a ground-up rebuild of the decision-making machinery ... and operational data and from clinical-expert labeling - turning guidelines, policy, and ...
Ai Data Labeling information
See Michigan salary details
$15.05 is the 25th percentile. Wages below this are outliers.
$9.71 - $17.52
37% of jobs
$17.52 - $25.33
9% of jobs
The median wage is $29.24 / hr.
$25.33 - $33.14
10% of jobs
$33.14 - $40.95
5% of jobs
$40.95 - $48.76
8% of jobs
$56.30 is the 75th percentile. Wages above this are outliers.
$48.76 - $56.57
8% of jobs
$56.57 - $64.39
10% of jobs
$64.39 - $72.20
4% of jobs
$72.20 - $80.01
4% of jobs
$80.01 - $87.82
3% of jobs
$87.82 - $95.63
3% of jobs
$9
$41
$95
How much do ai data labeling jobs pay per hour?
As of Jun 15, 2026, the average hourly pay for ai data labeling in Michigan is $41.51, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $61.43 per hour, depending on experience, location, and employer.
What is an AI Data Labeling job?
An AI Data Labeling job involves annotating or tagging data (such as images, text, audio, or video) to train machine learning models. Labelers categorize, classify, or highlight data based on specific guidelines to help AI understand patterns and make accurate predictions. This process is crucial for supervised learning, where models learn from labeled examples. AI Data Labeling jobs are common in industries like healthcare, finance, and autonomous vehicles. Attention to detail and consistency are key skills for success in this role.
What are the key skills and qualifications needed to thrive in the Ai Data Labeling position, and why are they important?
To thrive as an AI Data Labeling professional, you need strong attention to detail, analytical thinking, and the ability to follow precise guidelines, typically backed by a high school diploma or higher. Familiarity with annotation tools such as Labelbox, Supervisely, or internal labeling platforms, as well as basic understanding of data privacy practices, is often required. Patience, reliability, and good communication skills are important soft skills for consistently delivering high-quality labeled datasets and working effectively with team members. These skills ensure accurate data preparation for training AI models, directly impacting the model’s performance and the success of machine learning projects.
How much do AI labelers make?
AI data labelers typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the labeling tasks. Many positions are freelance or part-time, with some companies offering bonuses for accuracy and efficiency.
What does an AI data labeler do?
An AI data labeler is responsible for annotating and categorizing data such as images, videos, or text to help train machine learning models. This role requires attention to detail and familiarity with labeling tools, often working remotely with flexible schedules. Accurate labeling is essential for improving AI system performance.
Is data labelling a good career?
Data labeling is a common entry-level role in the AI industry that involves annotating data for machine learning models. It offers flexible schedules and requires attention to detail, but it may have limited advancement opportunities without additional skills or certifications.
What is a $900,000 AI job?
A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior data scientists, machine learning engineers, or AI executives, with compensation including salary, bonuses, and stock options reaching that amount annually. These positions often require advanced skills in programming, data analysis, and AI frameworks, along with significant experience and industry expertise.
What are typical daily tasks for an AI Data Labeling professional?
As an AI Data Labeling professional, your primary responsibilities include reviewing raw images, audio, or text data and accurately tagging or classifying them based on set guidelines provided by your employer. You may also be required to flag ambiguous cases or data anomalies and provide feedback to improve labeling instructions. Collaboration with data scientists or machine learning engineers is common to ensure your work aligns with project needs. Maintaining high accuracy while meeting productivity goals is essential for success in this role.
What are the most commonly searched types of Ai Data Labeling jobs in Michigan? The most popular types of Ai Data Labeling jobs in Michigan are:
What are popular job titles related to Ai Data Labeling jobs in Michigan? For Ai Data Labeling jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Ai Data Labeling jobs in Michigan look for? The top searched job categories for Ai Data Labeling jobs in Michigan are:
What cities in Michigan are hiring for Ai Data Labeling jobs? Cities in Michigan with the most Ai Data Labeling job openings:
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
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
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.