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Entry Level Ai Data Annotation Jobs in Detroit, MI

Saransh Inc

Senior Robotics Data Engineer - Only W2

Warren, MI · On-site

$99K - $135K/yr

... AI. · Familiarity with robotics simulation platforms (e.g., Isaac Sim) and synthetic data generation. · Experience with data labeling tools and annotation workflows at scale. · Hands-on knowledge ...

Stellantis

Data Analyst / Front End

Auburn Hills, MI · On-site

... Data & AI Product Owner, the role contributes to the delivery of dashboards, KPIs, alerts, and ... Self-motivated, resourceful, and organized in managing complex work Employment Type Entry Level ...

Pwc

AI Governance Sr Associate

Detroit, MI · On-site

$72K - $212K/yr

... data to inform strategic recommendations and support decision-making processes - Upholding ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI Governance Experienced Associate

Detroit, MI · On-site

$63K - $141K/yr

... data - Developing commercial awareness and understanding business operations - Utilizing corporate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

In-finite Search Solutions

Be Seen First

Entry Level Controls Engineer

Detroit, MI · On-site

$82K - $106K/yr

*Must be okay with travel Entry Level Position: College Graduate - 2 years experience This is a ... to AI to User Interface tools. * Provide our clients with real-time data, and actionable ...

Pwc

Data Engineer - Senior Associate

Detroit, MI

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

OneStream Software

Software Engineer I

Rochester, MI · On-site

Azure Fundamentals or entry-level Azure certification. Knowledge, Skills, and Abilities * Solid ... It's the only enterprise finance platform that unifies financial and operational data, embeds AI ...

OneStream Software

Software Engineer I

Birmingham, MI · On-site

Azure Fundamentals or entry-level Azure certification. Knowledge, Skills, and Abilities * Solid ... It's the only enterprise finance platform that unifies financial and operational data, embeds AI ...

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All JobsAi Data Annotation JobsEntry Level Ai Data Annotation JobsEntry Level Ai Data Annotation Jobs in Detroit, MI

Entry Level Ai Data Annotation information

See Detroit, MI salary details

$11

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How much do entry level ai data annotation jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for entry level ai data annotation in Detroit, MI is $20.04, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $21.63 per hour, depending on experience, location, and employer.

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.

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.

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 Detroit, MI? The most popular types of Ai Data Annotation jobs in Detroit, MI are:
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Entry Level Ai Data Annotation jobs near you
Infographic showing various Entry Level Ai Data Annotation job openings in Detroit, MI as of July 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $41,676 per year, or $20 per hour.

Robotics Data Collection Engineer

Nastech Global

Warren, MI • On-site

Contractor

Posted 28 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.