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Entry Level Ai Data Annotation Jobs in Michigan (NOW HIRING)

Data Annotation

$50 - $60/hr

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

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Entry Level Ai Data Annotation information

What is an Entry Level AI Data Annotation job?

An Entry Level AI Data Annotation job involves labeling and categorizing data such as images, text, audio, or video to help train artificial intelligence (AI) and machine learning models. Annotators follow specific guidelines to tag data accurately, ensuring that AI systems learn to recognize patterns correctly. These positions typically require attention to detail, basic computer skills, and the ability to follow instructions. No advanced technical knowledge is usually required, making it a great way to start a career in the AI or tech industry.

How much do AI data annotators make?

AI data annotators typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of the annotation tasks. Entry-level positions often pay closer to the lower end of this range, and some roles may offer project-based or part-time pay structures.

What are some common challenges faced by entry-level AI data annotation specialists, and how can they be addressed?

Entry-level AI data annotation specialists often encounter challenges such as maintaining consistency and accuracy while labeling large volumes of data, understanding nuanced instructions, and adapting to changing project requirements. These challenges can be addressed by actively seeking clarification from team leads, participating in training sessions, and regularly reviewing annotation guidelines. Collaborating with teammates and using quality assurance feedback also helps improve accuracy and ensures alignment with project standards.

Can I get an AI job with no experience?

Entry level AI data annotation roles typically do not require prior experience, as they focus on labeling data to train AI models. Basic computer skills, attention to detail, and familiarity with annotation tools are often sufficient to start. Gaining knowledge of AI concepts or tools can improve job prospects but is not always mandatory for entry-level positions.

Can I do data annotation with no experience?

Entry level AI data annotation jobs typically do not require prior experience, as training is often provided to teach specific tools and guidelines. Basic computer skills and attention to detail are usually sufficient to start, making it accessible for beginners. Developing familiarity with annotation tools and understanding data labeling standards can improve job performance and opportunities for advancement.

How to become an AI data annotator?

To become an AI data annotator, you typically need strong attention to detail, basic computer skills, and familiarity with annotation tools or platforms. Many roles are entry-level and may require a high school diploma or equivalent, with some positions offering training. Developing skills in data labeling, understanding of AI concepts, and the ability to work efficiently can improve job prospects.

What are the key skills and qualifications needed to thrive as an Entry Level AI Data Annotation Specialist, and why are they important?

To thrive as an Entry Level AI Data Annotation Specialist, attention to detail, basic computer literacy, and a high school diploma or equivalent are typically required. Familiarity with data labeling platforms, annotation tools, and spreadsheet software is often expected. Strong organizational skills, focus, and the ability to work independently help individuals excel in this role. These skills ensure accurate and efficient data labeling, which is crucial for developing reliable AI and machine learning models.
What are the most commonly searched types of Ai Data Annotation jobs in Michigan? The most popular types of Ai Data Annotation jobs in Michigan are:
What are popular job titles related to Entry Level Ai Data Annotation jobs in Michigan? For Entry Level Ai Data Annotation jobs in Michigan, the most frequently searched job titles are:
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What cities in Michigan are hiring for Entry Level Ai Data Annotation jobs? Cities in Michigan with the most Entry Level Ai Data Annotation job openings:
Entry Level Ai Data Annotation jobs near you
Infographic showing various Entry Level Ai Data Annotation job openings in Michigan as of June 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

Robotics Data Collection Engineer

Nastech Global

Warren, MI • On-site

Contractor

Posted 26 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.