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Ai Data Labeling Jobs in Michigan (NOW HIRING)

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 ... Proficient in Microsoft Excel and Google Sheets for data tracking and reporting. * Experience with ...

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 ... Proficient in Microsoft Excel and Google Sheets for data tracking and reporting. * Experience with ...

Environmental Services Tech

Almont, MI · On-site

$19.29 - $23.79/hr

Reading Labels * Communication * Ability to work independently * Working safely Qualifications ... At Intermountain Health, we usethe artificial intelligence ("AI") platform, HiredScore to improve ...

SHIPPER/RECEIVER

Plymouth, MI · On-site

$17.25 - $21/hr

Print bar code labels; * Keep and organized finished goods and dock area; * Unload inbound customer ... Importantly, no applicant data is shared externally through these AI tools. All information remains ...

SHIPPER/RECEIVER

Plymouth, MI

$17.25 - $21/hr

Print bar code labels; * Keep and organized finished goods and dock area; * Unload inbound customer ... Importantly, no applicant data is shared externally through these AI tools. All information remains ...

Flexographic Pressman

Novi, MI · On-site

$20.25 - $26.75/hr

... with the labels and dies. Ensure proper data collection for each job, including job notes on ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

... with the labels and dies. Ensure proper data collection for each job, including job notes on ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

Flexographic Pressman

Novi, MI · On-site

$20 - $25/hr

... with the labels and dies. Ensure proper data collection for each job, including job notes on ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

Flexographic Pressman

Kentwood, MI · On-site

$22 - $26/hr

... label stocks and ink systems $22 - $26 an hour We may use artificial intelligence (AI) tools to ... If you would like more information about how your data is processed, please contact us.

... label stocks and ink systems $22 - $26 an hour We may use artificial intelligence (AI) tools to ... If you would like more information about how your data is processed, please contact us. apply for ...

Flexographic Pressman

Kentwood, MI

$19.75 - $26.25/hr

... label stocks and ink systems We may use artificial intelligence (AI) tools to support parts of the ... If you would like more information about how your data is processed, please contact us.

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Ai Data Labeling information

See Michigan salary details

$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 cities in Michigan are hiring for Ai Data Labeling jobs? Cities in Michigan with the most Ai Data Labeling job openings:
Infographic showing various Ai Data Labeling job openings in Michigan as of June 2026, with employment types broken down into 80% Full Time, 7% Part Time, and 13% Contract. Highlights an 80% In-person, 7% Hybrid, and 13% Remote job distribution, with an average salary of $86,349 per year, or $41.5 per hour.
Apprentice - Vehicle Operator (Data Collection)

Apprentice - Vehicle Operator (Data Collection)

Aptiv PLC

Troy, MI • On-site

$20.50 - $25.75/hr

Full-time

Posted 15 days ago


Job description

Vehicle Operator (Data Collection)
Why join Aptiv? You'll have the opportunity to work on cutting-edge applications, develop breakthrough technologies, and deliver innovative solutions to some of the world's leading automotive brands. See your work come to life on the road-helping make mobility safer, greener, and more connected. Ready to shape the future of mobility with us?
About the Position
The Apprentice Vehicle Operator - Data Collection plays a foundational role in Aptiv's Autonomous Driving development cycle. In this position, you will serve as the first line of observation during real-world testing, ensuring safe vehicle operations while capturing high-quality data that supports engineering, algorithm development, and validation teams.
You will work hands-on with prototype ADAS/AD vehicles, operate data acquisition systems, identify challenging driving environments, and perform structured feedback reporting.
This role is ideal for individuals who are:
  • Curious about autonomous driving technology
  • Detail-oriented and safety-focused
  • Eager to learn how data fuels validation and system improvement
  • Comfortable working in dynamic, real-world conditions

As an apprentice, you will receive on-the-job training, clear daily guidance, and the opportunity to develop practical skills in vehicle testing, data logging, and sensor systems-key foundations for future roles in data analytics, vehicle testing, or ADAS/AD development.
Key Responsibilities
1. Vehicle Operations
  • Safely operate prototype-level ADAS/AD vehicles across the USA and surrounding regions.
  • Drive on defined and exploratory routes with varying road topology, traffic density, and weather conditions.
  • Utilize Aptiv's Route Intelligence Tool to follow, adapt, and optimize test routes.
  • Maintain full readiness to take over manual control when the system disengages-executing overrides smoothly, safely, and without over-correction.
  • Perform pre-trip and post-trip checklists to ensure vehicle readiness.

2. Data Collection & Equipment Handling
  • Operate in-vehicle DAQ (Data Acquisition) systems, including:
    • Start/stop recordings
    • Event tagging
    • Monitoring sensor states
    • Performing simple debugging of software or hardware anomalies
  • Follow daily Test Plans, including assigned scenarios, trip targets, and route variations.
  • Ensure all captured data meets quality, completeness, and formatting standards required by engineering teams.
  • Conduct basic troubleshooting of sensors, cameras, GNSS/IMU units, and logging equipment when needed.

3. Feedback & Observation
  • Provide structured and objective feedback on vehicle behavior, such as:
    • System hesitation
    • Unexpected maneuvers
    • Near-miss events
    • Incorrect or delayed perception
  • Document environmental factors that commonly challenge AD systems (e.g., sharp turns, complex intersections, hills/elevation changes, construction zones, school areas, pedestrian crossings).
  • Clearly communicate findings during daily sync-ups or through digital feedback tools.

4. Data Management
  • Upload collected data to Aptiv's High-Performance Computing (HPC) infrastructure promptly after each test session.
  • Verify successful data transfer, labeling accuracy, and metadata completeness.
  • Coordinate with the Data Insight and MCIP teams to flag corrupted or incomplete logs.

YOUR BACKGROUND
Key skills and competencies for succeeding in this role are:
Required Qualifications
  • High school diploma, GED
  • Visa sponsorship is not available for this position. Candidates must be legally authorized to work in the United States on a permanent basis.
  • Must be a resident of the Greater Troy, MI area, with ability to work on site.

Aptiv Rewards and Advantages
  • Structured onboarding and mentorship for early-career engineers
  • Hands-on exposure to real ADAS vehicle programs
  • Safety Training Certificates - Tier-1 and Tier-2 as safety driver for ADAS
  • Competitive compensation and benefits aligned with local regulations while data collection
  • Learning and professional development opportunities
  • Clear technical growth path within Data Analytics, ADAS, and AI/ML domains
  • Recognition for innovation, learning, and teamwork
  • Meaningful work contributing to safer and smarter mobility

Privacy Notice - Active Candidates: https://www.aptiv.com/privacy-notice-active-candidates
Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.