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Data Annotation Jobs in Farmington, MI (NOW HIRING)

Socket.dev

Manager, Engineering - Offline Perception

Ann Arbor, MI · On-site

$180 - $230/hr

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You'll own strategy and execution for this data-to-model path, partnering with auto-tagging, data delivery, human annotation, and autonomy stakeholders on priorities, quality, and delivery. What You ...

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Data Annotation information

What is a data annotation?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

What does a data annotation do?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

What are the key skills and qualifications needed to thrive in data annotation?

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

How much money can I make doing data annotation?

Data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the task and the employer. Experienced annotators or those working on specialized projects may earn higher rates, especially if they have skills in specific tools or domains. Earnings can vary based on whether the work is freelance, part-time, or full-time, and some platforms offer bonuses for accuracy or speed.

What are popular job titles related to Data Annotation jobs in Farmington, MI?

For Data Annotation jobs in Farmington, MI, the most frequently searched job titles are:

What job categories do people searching Data Annotation jobs in Farmington, MI look for?

The top searched job categories for Data Annotation jobs in Farmington, MI are:

What cities near Farmington, MI are hiring for Data Annotation jobs?

Cities near Farmington, MI with the most Data Annotation job openings:

Data Annotation jobs near you
Infographic showing various Data Annotation job openings in Farmington, MI as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Sr Engineer - ADAS Tools and Ground Truth

Magna

Rochester Hills, MI • On-site

$96K - $132K/yr

Other

Posted 8 days ago

Job description

Job descriptions may display in multiple languages based on your language selection.
What we offer:
At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.
Group Summary:
Transforming mobility. Making automotive technology that is smarter, cleaner, safer and lighter. That's what we're passionate about at Magna Electronics, and we do it by creating world-class Electronic systems. We are a premier supplier for the global automotive industry with full capabilities in design, development, testing and manufacturing of complex Electronic systems. Our name stands for quality, environmental consciousness, and safety. Innovation is what drives us and we drive innovation. Dream big and create the future of mobility at Magna Electronics.
Job Responsibilities:
Summary
The System Tool Developer to design, develop, and maintain system test tools for autonomous and ADAS vehicle development, including data logger and reprocessing systems for Camera, ultrasonic sensor, and radar data. The ideal candidate will build robust, scalable tools that enable efficient data collection, validation, and re-simulation across the development lifecycle. Engineer will apply strong software engineering practices and collaborate across global teams to deliver reliable tooling that enables ADAS/AD development.
Key Responsibilities
  • Excellent understanding of image and LiDAR based annotation concepts, along with validation processes.
  • Hands-on experience with vehicle-level reference sensor systems supporting ground truth, including installation, calibration, synchronization, and logging validation.
  • Design, develop, and maintain data logger systems for in-vehicle recording of Camera, ultrasonic sensor, radar, and vehicle bus data, ensuring data integrity and time synchronization.
  • Design, develop, and maintain reprocessing (re-simulation) systems to replay recorded sensor data through perception and system software for validation and regression testing.
  • Develop system test tools and frameworks supporting HIL/SIL testing, data validation, and automated test execution.
  • Build and optimize data processing pipelines handling large-scale sensor data across formats (MDF4, CSV, ORC, MP4, Parquet).
  • Design and maintain cloud-based infrastructure for data ingestion, storage, reprocessing, and retrieval (AWS or similar).
  • Develop image processing components for sensor data visualization, quality checks, and analysis tooling.
  • Design and maintain database schemas and services for test data management, metadata indexing, and efficient retrieval.
  • Collaborate with data collection, annotation, sensor calibration, and software teams to align tooling with development and validation needs.
  • Gather, analyze, and document tool requirements from internal and external stakeholders.
  • Conduct code reviews, write unit/integration tests, and maintain CI/CD pipelines to ensure tool quality and reliability.
  • Provide user support, documentation, and training for developed tools across global teams.
  • Stay updated on industry best practices in test tooling, data logging, and cloud technologies.

Qualifications & Skills:
  • Annotation Methods and Concepts
  • Reference sensorics and HW (IMUs, GPS, LiDAR's and similar products)
  • Experience in developing system test tools, data loggers, or reprocessing/re-simulation systems in automotive or autonomous vehicle settings.
  • Strong proficiency in C++ and Python for tool and application development.
  • Strong understanding of Camera, ultrasonic, and radar sensor data, data logging concepts, and time synchronization.
  • Experience with database design and development (SQL and/or NoSQL).
  • Experience with cloud development, preferably AWS (S3, EC2, Lambda, or similar services).
  • Solid knowledge of image processing techniques and libraries (e.g., OpenCV).
  • Familiar with autonomous driving standards, ADAS systems, and sensor calibration is a plus.

Process & Project Management
  • Monitor and track project progress against schedules.
  • Ensure efficient use of resources and effective task prioritization.
  • Contribute to process definition, safety standards, and validation methods.
  • Anticipate project requirements and proactively support cross-functional teams.

Education & Experience
  • Bachelor's degree in computer engineering, Software Engineering, Electrical Engineering, Computer Science, or related field (master's preferred).
  • 1-4 years of relevant experience in software tool development; experience with automotive data logging or reprocessing systems is a plus.
  • Experience in automotive workflows strongly preferred.

Technical Skills
  • Programming: C++ (required), Python (required), C, C#, PySpark.
  • Database: SQL (PostgreSQL, MySQL), NoSQL, data modeling and query optimization.
  • Cloud: AWS (preferred), Azure, Databricks.
  • Image Processing: OpenCV, sensor data visualization.
  • Tools: PTC Integrity, Codebeamer, ADTF, ROS, Docker, Git, CI/CD.
  • Strong proficiency with MS Office.

Soft Skills
  • Strong communicator with stakeholders at all levels.
  • Skilled in decision-making, prioritization, and agile teamwork.
  • Analytical, goal-oriented, and able to manage multiple tasks effectively.

Languages
  • Fluent in English (verbal and written).

Travel
  • Willingness to travel domestically and internationally as required.

Desired Competencies
  • Innovative mindset with the ability to propose and deliver new solutions.
  • Strong problem-solving and conflict-resolution skills.
  • Risk management awareness with a focus on maintaining tool quality and reliability.
Awareness, Unity, Empowerment:
At Magna, we believe that a diverse workforce is critical to our success. That's why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.
AI-Assisted Screening Disclosure
As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.
Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.
If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.
Worker Type:
Regular / Permanent
Group:
Magna Electronics

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