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Flexible Data Annotation Tech Jobs in Detroit, MI

Torc Robotics

Senior, ML Engineer - VLM

Ann Arbor, MI · On-site +1

$102K - $140K/yr

About the Company At Torc, we have always believed that autonomous vehicle technology will ... data engines for annotation and verification. * High-throughput model serving - vLLM, SGLang, or ...

Torc Robotics

Senior, ML Engineer - VLM

Ann Arbor, MI

$102K - $140K/yr

About the Company At Torc, we have always believed that autonomous vehicle technology will ... data engines for annotation and verification. * High-throughput model serving - vLLM, SGLang, or ...

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

Data Engineer #1060557 Position Description: Employees in this job function are responsible for ... and technology start-up companies. Our benefits are second to none and thanks to our flexible ...

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

Data Engineer #1061533 * Employees in this job function are responsible for designing, building ... and technology start-up companies. Our benefits are second to none and thanks to our flexible ...

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

Data Engineer #1055558 * Employees in this job function are responsible for designing, building ... and technology start-up companies. Our benefits are second to none and thanks to our flexible ...

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

As a Data Engineer on the Wrangling and Visualization Migration Team, you will communicate and ... and technology start-up companies. Our benefits are second to none and thanks to our flexible ...

FastTek

Data Engineering Engineer

Dearborn, MI

$105K - $126K/yr

Data Engineering Engineer #1056187 Position Description: Employees in this job function are ... and technology start-up companies. Our benefits are second to none and thanks to our flexible ...

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Flexible Data Annotation Tech information

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How much do flexible data annotation tech jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for flexible data annotation tech in Detroit, MI is $22.61, according to ZipRecruiter salary data. Most workers in this role earn between $16.63 and $26.88 per hour, depending on experience, location, and employer.

Can I do data annotation with no experience?

Data annotation roles often do not require prior experience, as training is typically provided to teach specific labeling tools and guidelines. Basic computer skills and attention to detail are usually sufficient to start, making it accessible for beginners. Over time, developing familiarity with annotation software and understanding data types can improve efficiency and accuracy.

What are some common challenges faced by flexible data annotation techs, and how can they be addressed?

Flexible Data Annotation Techs often encounter challenges such as maintaining consistency across large volumes of data, adapting to evolving project guidelines, and managing tight deadlines. To address these challenges, it's important to establish clear communication with project leads, regularly review annotation protocols, and utilize available training resources. Building strong attention to detail and staying organized can also help ensure high-quality outputs and job satisfaction.

What is the difference between Flexible Data Annotation Tech vs Data Labeler?

AspectFlexible Data Annotation TechData Labeler
CredentialsBasic computer skills, training in annotation toolsBasic education, sometimes specific software training
Work EnvironmentRemote or on-site, tech-focusedPrimarily remote or on-site, data processing settings
Industry UsageAI, machine learning, data scienceAI, machine learning, data preparation
Job FocusApplying labels to datasets using annotation toolsLabeling data according to guidelines

Flexible Data Annotation Tech roles involve using specialized tools to annotate datasets for AI training, often requiring some technical training. Data Labelers focus on applying labels to data, typically with less technical complexity. Both roles are essential in AI development but differ mainly in technical requirements and scope.

What are the key skills and qualifications needed to thrive as a flexible data annotation tech, and why are they important?

To thrive as a Flexible Data Annotation Tech, you need attention to detail, accuracy, and a basic understanding of data labeling or annotation processes, often requiring at least a high school diploma. Familiarity with annotation platforms, data labeling tools, and productivity software is typically necessary, and experience with machine learning datasets can be advantageous. Strong time management, communication, and adaptability help you excel in collaborative and ever-changing project environments. These skills ensure high-quality, consistent data output that directly impacts the performance of AI and machine learning systems.

What is a flexible data annotation tech?

Flexible Data Annotation Tech jobs involve labeling, categorizing, or tagging data—such as images, text, audio, or video—to help train machine learning models. These roles are often remote or offer flexible schedules, making them appealing for those seeking adaptable work hours. Tasks can include identifying objects in photos, transcribing audio, or sorting information based on specific guidelines. The work is essential for improving the accuracy of artificial intelligence systems by providing them with high-quality annotated data. No advanced technical skills are usually required, but attention to detail and reliability are important.
What are the most commonly searched types of Data Annotation Tech jobs in Detroit, MI? The most popular types of Data Annotation Tech jobs in Detroit, MI are:
What are popular job titles related to Flexible Data Annotation Tech jobs in Detroit, MI? For Flexible Data Annotation Tech jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Flexible Data Annotation Tech jobs in Detroit, MI look for? The top searched job categories for Flexible Data Annotation Tech jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Flexible Data Annotation Tech jobs? Cities near Detroit, MI with the most Flexible Data Annotation Tech job openings:
Flexible Data Annotation Tech jobs near you
Infographic showing various Flexible Data Annotation Tech job openings in Detroit, MI as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 29% Part Time, and 3% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $47,035 per year, or $22.6 per hour.

Robotics Data Collection Engineer

Nastech Global

Warren, MI • On-site

Contractor

Re-posted 10 days ago

Job description

Position: Robotics Data Collection Engineer

Location: Warren, Michigan (Onsite)

Duration: 12+Months with possible extensions

Main Skills: Senior Robotics Data Collection Engineer (MLE, Python, Cloud exp, Linux)

Position Summary:

Join Automation, Robotics & Controls (ARC) AI team as a Robotics Data Collection Engineer. In this hands-on role, you will work directly with advanced robotic systems to collect, organize, and validate training data that enables AI-powered robotic manipulation in automotive manufacturing. You will contribute to building the datasets that power the next generation of intelligent manufacturing automation at Warren Technical Center.

Key Responsibilities:

  • Collect high-quality robot telemetry, sensor, and visual data from manufacturing robotic systems in lab and production-like environments.
  • Operate and monitor robotic systems, GELLO teleop interfaces, and data collection hardware.
  • Organize, label, and validate data according to established annotation guidelines and quality standards.
  • Perform manual annotation and verification when necessary to generate high-quality ground truth labels.
  • Execute data collection campaigns following documented protocols and experimental designs.
  • Troubleshoot data collection issues and document problems for engineering teams.
  • Collaborate with AI engineers, robotics engineers, and manufacturing teams to ensure data meets model training requirements.

Required Qualifications:

  • College or bachelor’s degree in engineering (Mechanical Engineering or Electrical Engineering preferred).
  • Ability to work on-site at Warren Technical Center, 5 days per week.
  • Attention to detail and ability to follow technical procedures and documentation.
  • Reliability, accountability, and ability to work independently and as part of a team.
  • Strong, demonstrated hands-on experience operating, troubleshooting, and maintaining industrial or collaborative robotic arms.
  • Proficiency in Linux environments and basic scripting (e.g., Python) to interface with robotic systems and manage data pipelines.
  • Proven experience working directly with perception sensors and hardware, with a solid understanding of capturing and validating high-quality sensor data.

Preferred Qualifications:

  • Experience with robotics, manufacturing, or data collection.
  • Familiarity with Python, Linux, or data tools (beneficial but not required).
  • Experience operating or troubleshooting technical equipment.
  • Basic understanding of machine learning, AI, or data annotation concepts.
  • Experience in automotive or manufacturing environments.

What is Offered:

•              Hands-on experience with cutting-edge robotics and AI technology.

•              Opportunity to contribute to transformative manufacturing automation.

•              Collaborative team environment with world-class engineers and researchers.