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Data Annotation Services Jobs in Michigan (NOW HIRING)

Senior Robotics Data Engineer - Only W2

Warren, MI · On-site

$99.60K - $135.20K/yr

... annotation workflows at scale. · Hands-on knowledge of TensorFlow and/or PyTorch from a data systems perspective. · Experience with Microsoft data ecosystems (Power BI, Azure data services)

Data Annotation Services information

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

To excel in Data Annotation Services, strong attention to detail, data literacy, and a foundational understanding of data labeling processes are essential, often requiring a high school diploma or equivalent. Familiarity with annotation platforms, labeling tools, and sometimes basic knowledge of scripting or data management systems is typically expected. Strong work ethic, consistency, and effective communication skills help individuals stand out in collaborative, deadline-driven environments. These capabilities ensure high-quality, accurate labeled data, which is critical for training reliable machine learning models.

What are some common challenges faced when working in data annotation services, and how can I address them?

In data annotation services, one common challenge is maintaining consistency and accuracy, especially when handling large datasets or ambiguous data points. Clear annotation guidelines and regular communication with team leads help ensure that everyone interprets the data similarly. Additionally, repetitive tasks can lead to fatigue, so it's important to take scheduled breaks and leverage available annotation tools to streamline workflows. Collaborating with peers to discuss edge cases also helps improve overall data quality and fosters a supportive team environment.

What are data annotation services?

Data annotation services involve labeling or tagging data—such as images, text, audio, or video—to make it understandable for machine learning models. These services are essential in training artificial intelligence systems to recognize patterns, objects, or other relevant information in raw data. Companies use data annotation to improve the accuracy and effectiveness of AI applications, such as self-driving cars, chatbots, and image recognition. Professional annotators or specialized platforms often perform these tasks to ensure high-quality, consistent results.

What is the difference between Data Annotation Services vs Data Labeling Specialists?

AspectData Annotation ServicesData Labeling Specialists
CredentialsTypically no formal credentials required; focus on trainingOften have training in specific tools or industry standards
Work EnvironmentCollaborative, often remote or in-office teamsSimilar, working in teams or independently on labeling tasks
Industry UsageUsed by AI/ML companies for training datasetsEmployed in similar settings, focusing on labeling data for AI models
Search & Comparison IntentUnderstanding services offered for data preparationLooking for roles or tasks related to data labeling

Data Annotation Services encompass the broader process of preparing and annotating data for AI and machine learning projects, often provided by specialized companies. Data Labeling Specialists are individual professionals or team members who perform the actual labeling tasks within these services. While both are closely related, services refer to the overall offering, whereas specialists are the personnel executing the work.

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Infographic showing various Data Annotation Services job openings in Michigan as of May 2026, with employment types broken down into 5% Locum Tenens, 5% Internship, 47% As Needed, 9% Full Time, 30% Part Time, and 4% Nights. Highlights an 1% Physical, 15% Hybrid, and 84% Remote job distribution.
ADAS Data Platform Supervisor

ADAS Data Platform Supervisor

Ford Motor Company

Dearborn, MI • Hybrid

$129.60K - $244.68K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 15 days ago


Job description

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves?

In this position... 

Ford's ADAS team is pushing the boundaries of what's possible in semi-autonomous driving, developing industry-leading technologies like BlueCruise and Pre-Collision Assist. To support these features, we need robust, high-performance web applications and data services that allow our engineers and analysts to visualize, annotate, and interpret massive amounts of vehicle data.

We are seeking an Engineering Supervisor to lead a team engineers responsible for our internal full stack ecosystem. You will oversee the development of our specialized visualization tools and data annotation platforms that fuel our analytics engine. The ideal candidate is a systems-thinker who understands how to build scalable cloud infrastructure while optimizing for the unique challenges of streaming large-scale robotics data.

You'll have...

Bachelor's Degree in Electrical Engineering, Computer Science, or a related field

Deep expertise in Node.js and React frameworks.

Experience with Foxglove Studio or similar robotics visualization platforms (e.g., Webviz, RViz).

A strong understanding of server-client architecture

Proven experience deploying and managing full stack applications on private/public cloud

Proficiency handling large-scale multimodal data formats (mcap, rosbag).

A proven track record of mentoring junior engineers and providing effective leadership and technical vision for senior engineers.

The ability to distill high-level requirements and granular software implementation.

Even better, you may have...

Experience in the automotive or robotics industry.

Familiarity with ADAS concepts (perception, mapping, localization, path planning).

Experience building tools specifically for machine learning data pipelines.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:

Immediate medical, dental, vision and prescription drug coverage

Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more

Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more

Vehicle discount program for employees and family members and management leases

Tuition assistance

Established and active employee resource groups

Paid time off for individual and team community service 

A generous schedule of paid holidays, including the week between Christmas and New Year's Day 

Paid time off and the option to purchase additional vacation time. 

This position is leadership level 6 and ranges from $129,600-244,680.

For more information on salary and benefits, click here: https://fordcareers.co/LL6

Visa sponsorship is not available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid #LI-RR1

What you'll do...

Lead, mentor, and grow a team of five full stack software engineers. You will be responsible for the career growth of junior developers and the strategic direction of senior individual contributors.

Take full ownership of our in-house visualization stack. This includes developing custom JavaScript extensions to overlay complex 3D data, such as integrating satellite imagery and map tiles with real-time vehicle perception data.

Oversee the development of web applications used by data analysts to annotate vehicle events. Ensure seamless integration between backend and frontend interfaces, managing the lifecycle of data from mcap files to ML training sets via automated workflows.

Own and maintain the backend multimodal file server. You will ensure the reliable streaming of data from our on-prem data centers to browser-based clients, optimizing for low latency and high concurrency.

Apply rigorous systems thinking to the software lifecycle. You will decompose complex implementation requirements from a clear Concept of Operations (ConOps) and ensure all features are validated against real-world ADAS needs.

Prioritize and enforce high standards for technical documentation to ensure the long-term maintainability of our tools.


Ford logo

About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982