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Full Time Machine Learning Data Annotation Jobs in Detroit, MI

3B Staffing LLC

Machine Learning Engineer

Warren, MI · On-site

Fulltime Must Have Technical/Functional Skills • Assist in fine-tuning VLA (Vision-Language ... synthetic data generation, auto-annotation, and simulation tools (Isaac Sim, Omniverse) • ...

New

3B Staffing LLC

Machine Learning Engineer

Warren, MI · On-site

Fulltime Must Have Technical/Functional Skills • Assist in fine-tuning VLA (Vision-Language ... synthetic data generation, auto-annotation, and simulation tools (Isaac Sim, Omniverse) • ...

New

FastTek

Machine Learning Engineer

Dearborn, MI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Machine Learning Engineer #1058742 Position Description: We are seeking an experienced AI Engineer ... This role combines expertise in Data Science, Software Engineering, and MLOps to deliver scalable ...

Ford Motor Company

ADAS Data Platform Supervisor

Dearborn, MI · Hybrid

$129K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

You will oversee the development of our specialized visualization tools and data annotation ... Experience building tools specifically for machine learning data pipelines. You may not check every ...

3B Staffing LLC

Machine learning Engineer

Warren, MI · On-site

Fulltime * Develop and deploy machine learning models that process and analyze IoT (Internet of Things) signal data. Work with large-scale sensor data from connected devices to build predictive ...

New

Stellantis

Machine Learning Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

We are looking for a Machine Learning Engineer / Data Scientist to develop advanced statistical models and simulations that drive Vehicle Configuration Optimization (VCO) . This role will leverage ...

3B Staffing LLC

Machine learning Engineer

Warren, MI · On-site

Fulltime * Develop and deploy machine learning models that process and analyze IoT (Internet of Things) signal data. Work with large-scale sensor data from connected devices to build predictive ...

New

Mariana Minerals

Machine Learning Engineer

Ann Arbor, MI · On-site

$120K - $180K/yr

... data-driven decision-making. The Role Mariana Minerals is building the critical minerals supply ... As a Machine Learning Engineer at Mariana, you'll help build and improve the machine learning ...

FastTek

Machine Learning Engineer

Dearborn, MI · On-site

$105K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Machine Learning Engineer #1054987 * Employees in this job function are responsible for designing ... GCP, Big Data, Artificial Intelligence & Expert Systems, API * GCP - Experience deploying and ...

Stellantis

Machine Learning Engineer

Auburn Hills, MI

$108K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are looking for a Machine Learning Engineer / Data Scientist to develop advanced statistical models and simulations that drive Vehicle Configuration Optimization (VCO) . This role will leverage ...

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All JobsMachine Learning Data Annotation JobsFull Time Machine Learning Data Annotation JobsFull Time Machine Learning Data Annotation Jobs in Detroit, MI

Full Time Machine Learning Data Annotation information

See Detroit, MI salary details

$37.1K

$121.5K

$194.5K

How much do full time machine learning data annotation jobs pay per year?

As of Aug 13, 2026, the average yearly pay for full time machine learning data annotation in Detroit, MI is $121,507.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,500.00 and $134,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a full time machine learning data annotation specialist, and why are they important?

To thrive as a Full Time Machine Learning Data Annotation Specialist, you need strong attention to detail, basic data literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency in specialized annotation platforms, spreadsheet tools, and sometimes knowledge of Python or labeling frameworks is typically required. Reliability, patience, and effective communication are valuable soft skills for ensuring accuracy and collaborating with team members. These skills and qualities are crucial because they directly impact the quality of training data, which is essential for developing effective machine learning models.

What is a full time machine learning data annotation job?

Full time machine learning data annotation jobs involve labeling, tagging, or categorizing data such as images, text, audio, or video to help train machine learning models. Data annotators play a crucial role in ensuring that AI systems learn from high-quality, accurately labeled datasets. These positions often require attention to detail, consistency, and sometimes familiarity with the subject matter or specialized tools. Full-time roles may be remote or onsite and can span industries like autonomous vehicles, healthcare, retail, and more.

What are some common challenges faced by machine learning data annotators, and how are these typically addressed within a team?

Machine learning data annotators often encounter challenges such as maintaining consistency in labeling, handling ambiguous data, and meeting tight deadlines for large datasets. Teams usually address these by establishing clear annotation guidelines, conducting regular training sessions, and implementing quality assurance processes like peer reviews and spot checks. Collaboration with data scientists and project managers is also common, ensuring that annotators can ask questions and clarify uncertainties, leading to higher-quality labeled data and a supportive work environment.

What is the difference between Full Time Machine Learning Data Annotation vs Data Labeling Specialist?

AspectFull Time Machine Learning Data AnnotationData Labeling Specialist
CredentialsHigh school diploma or equivalent; some roles prefer technical certificationsHigh school diploma or equivalent; training often provided on the job
Work EnvironmentOffice or remote; collaborative with data science teamsRemote or office; focused on labeling tasks
Industry UsageUsed across AI/ML companies, tech firms, and startupsCommon in AI/ML, data services, and outsourcing companies
Job FocusCreating labeled datasets for machine learning modelsAnnotating data such as images, videos, or text for AI training

Full Time Machine Learning Data Annotation involves creating high-quality labeled datasets for AI models, often requiring technical understanding. Data Labeling Specialists focus on annotating data accurately, typically with less emphasis on technical skills. Both roles are essential in AI development but differ mainly in scope and technical complexity.

What are popular job titles related to Full Time Machine Learning Data Annotation jobs in Detroit, MI? For Full Time Machine Learning Data Annotation jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Full Time Machine Learning Data Annotation jobs in Detroit, MI look for? The top searched job categories for Full Time Machine Learning Data Annotation jobs in Detroit, MI are:
Full Time Machine Learning Data Annotation jobs near you
Infographic showing various Full Time Machine Learning Data Annotation job openings in Detroit, MI as of July 2026, with employment types broken down into 19% Full Time, 7% Part Time, 68% Contract, and 6% Nights. Highlights an 4% Physical, and 96% Remote job distribution, with an average salary of $121,507 per year, or $58.4 per hour.

Machine Learning Engineer

3B Staffing LLC

Warren, MI • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Hello
Greetings!!!
This is Sakshi from Jconnect INC. Below is the requirement with my client. Please let me know if you are available for this role.
Title: Machine Learning Engineer
Location : Warren, MI / Mountain View, CA
Duration: Fulltime
JOB DESCRIPTION:
Must Have Technical/Functional Skills
• Assist in fine-tuning VLA (Vision-Language Alignment) models for robotic perception and interaction tasks
• Curate and preprocess multi-modal datasets (images, text, sensor data) from simulation and real-world sources
• Evaluate model performance for tasks such as semantic understanding, object recognition, and scene interpretation
• Collaborate with simulation engineers to validate models in Isaac Sim and Omniverse environments
• Support real-world deployment and testing of VLA models on robotic platforms
• Work with AWS teams to optimize training pipelines and model integration workflows
• Analyze model outputs and provide insights for iterative improvements
Roles & Responsibilities
• Hands-on experience with PyTorch, TensorFlow, OpenCV, and vision-language models
• Familiarity with synthetic data generation, auto-annotation, and simulation tools (Isaac Sim, Omniverse)
• Experience with model evaluation metrics and performance tuning
• Knowledge of ROS/ROS2, Python, and C++ for robotics integration
• Exposure to cloud-based ML workflows (AWS SageMaker, EC2, S3) is a plus
• Prior work in multi-modal AI systems, VLMs, or robotics perception is highly desirable
Generic Managerial Skills, If any
The engineers will play a critical role in bridging simulation and deployment pipelines for advanced perception systems.
If you are interested, please send me your updated resume ASAP with below details:
Full Name:
Current Location/Zip:
Contact Number:
E-Mail Id:
Alternate Email Id:
Visa/Work Permit Status:
Current Rate/Salary:
Expected Base Salary:
Notice Period/Availability to Start:
Skype ID:
Willingness to relocate to job location:
Any Relocation Concern (family/house/weather):
Current/Previous Employer Name:
Preferred Interview timings (Specify Time zone):
Any other job opportunity in process & at which stage:
Overall Experience Summary:
LinkedIn URL:
Looking forward for your response..
Thanks and Regards,
Sakshi Tripathi
Jconnect Infotech Inc.
168 Barclay Center Ste. 347,
Cherry Hill, NJ 08034
Email: sakshi@jconnectinc.com
LinkedIn ID: https://www.linkedin.com/in/sakshitripathi292000/

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