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Intern Data Annotation Tech Jobs in Ann Arbor, MI

Faurecia

Sales Intern

Northville, MI · On-site

$14 - $19/hr

FORVIA is looking for a year-round Sales Intern for its location in Northville, MI Your mission ... Apply data and technology to improve customer responsiveness and execution. Your profile and ...

Faurecia

Sales Intern

Northville, MI · On-site

$14 - $19/hr

This is not a traditional Sales Intern position. You will learn how a global automotive business ... Apply data and technology to improve customer responsiveness and execution. Your profile and ...

Medtronic

Engineering Intern - Summer 2027

Dexter, MI

$16 - $20.75/hr

Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore ... Contribute to system integration, verification, validation, risk analysis, and data-driven ...

Medtronic

Engineering Intern - Summer 2027

Dexter, MI

$16 - $20.75/hr

Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore ... Contribute to system integration, verification, validation, risk analysis, and data-driven ...

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All JobsIntern Data Annotation Tech JobsIntern Data Annotation Tech Jobs in Ann Arbor, MI

Intern Data Annotation Tech information

What is an intern data annotation tech?

Intern Data Annotation Techs are entry-level professionals, often students or recent graduates, who support machine learning projects by labeling and categorizing data, such as images, text, or audio. Their work is essential for training AI systems, as accurately annotated data helps algorithms learn to make correct predictions. These interns typically use specialized software tools to tag or classify data according to specific guidelines. The role requires attention to detail, consistency, and sometimes basic technical skills, depending on the complexity of the data and tasks. Internships in data annotation can provide valuable exposure to the fields of artificial intelligence and data science.

What are the key skills and qualifications needed to thrive as an intern data annotation tech?

To thrive as an Intern Data Annotation Tech, you need attention to detail, basic data management skills, and familiarity with data labeling concepts, often supported by a high school diploma or ongoing college coursework. Experience with annotation platforms, spreadsheet tools, and sometimes basic scripting languages is helpful. Strong communication, reliability, and the ability to follow detailed instructions are valuable soft skills in this role. These abilities ensure accurate and efficient data labeling, which is critical for training reliable machine learning models.

What are some common challenges faced by intern data annotation techs, and how can they overcome them?

Intern Data Annotation Techs often encounter challenges such as maintaining consistency in labeling large datasets and understanding nuanced instructions for annotation tasks. To overcome these hurdles, it's important to ask clarifying questions early on, regularly review annotation guidelines, and participate in team discussions about edge cases. Collaboration with more experienced annotators and feedback from supervisors also help in refining skills and ensuring high-quality data preparation. Developing attention to detail and adaptability will contribute to a successful internship experience.

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

AspectIntern Data Annotation TechIntern Data Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentData annotation platforms, remote or officeData labeling platforms, remote or office
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Job FocusAnnotating data for training AI modelsLabeling data for machine learning algorithms

Both roles involve preparing data for AI systems, with similar skills and work environments. The main difference lies in terminology; 'Data Annotation Tech' emphasizes technical annotation tasks, while 'Data Labeler' is a more general term. Both are entry-level positions vital for training AI models in the tech industry.

Can I do data annotation with no experience?

Intern Data Annotation Tech roles often do not require prior experience, as training is typically provided to teach skills like image or text labeling using annotation tools. Basic computer skills and attention to detail are usually sufficient to start, making it accessible for beginners. Developing familiarity with annotation software and understanding data quality standards can improve job performance over time.

Does data annotation tech actually pay?

Data annotation technicians are paid for their work, with wages typically ranging from minimum wage to higher rates depending on experience, complexity of tasks, and the employer. Payment is usually hourly or per task, and some roles may require basic skills in data labeling tools or software. Compensation varies by company and location but generally provides a reliable income for entry-level positions.

Is it hard to get hired for data annotation?

Getting hired as a data annotation intern typically requires basic computer skills, attention to detail, and sometimes familiarity with annotation tools. Many positions are entry-level and may not require extensive experience, making the application process relatively accessible for beginners. However, competition can vary depending on the company and location.

What are popular job titles related to Intern Data Annotation Tech jobs in Ann Arbor, MI?

For Intern Data Annotation Tech jobs in Ann Arbor, MI, the most frequently searched job titles are:

What job categories do people searching Intern Data Annotation Tech jobs in Ann Arbor, MI look for?

The top searched job categories for Intern Data Annotation Tech jobs in Ann Arbor, MI are:

Intern Data Annotation Tech jobs near you
Infographic showing various Intern Data Annotation Tech job openings in Ann Arbor, MI as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Autonomous Driving Intern - Data, Tools & Simulation

Isuzu Motors America LLC

Plymouth, MI • On-site

$20 - $34/hr

Other

Re-posted 24 days ago

Job description

Isuzu Technical Center of America is seeking an Autonomous Driving Intern - Data, Tools & Simulation to join its operations in Plymouth, MI, for Summer/Fall 2026. The selected candidate will be placed with a preferred agency for employment.
JOB SUMMARY
Supports verification and validation of Level 4 autonomous driving technologies using state-of-the-art approaches and methodologies. Works closely with Isuzu US and Japan teams, leading autonomous driving partner companies, and reputed research institutes on the validation and deployment of autonomous systems. Works at the intersection of vehicle engineering and cutting-edge autonomous technology within a collaborative and passionate environment. Performs tasks of increasing complexity throughout the internship.
% of time spenton each activity
PRINCIPAL DUTIES & RESPONSIBILITIES
30%
1.
Collaborates with engineers to develop and validate related vehicular and sensory models and algorithms related to autonomous vehicle safety.
20%
2.
Assists with analysis of on-road driving data and identification of safety trends or issues.
20%
3.
Supports simulation of real-world driving scenarios to test and validate AV systems.
20%
4.
Participates in cross-functional discussions and contributes ideas toward improving safety and reliability of AV systems.
10%
5.
Prepares and communicates findings and technical updates to teams across the U.S. and Japan.
6.
Performs miscellaneous job-related duties as assigned.
ORGANIZATIONAL RELATIONSHIPS
  • Reports to: Manager, Autonomous Driving & MBD

EDUCATION, EXPERIENCE & TRAINING
  • Currently enrolled in a Bachelor's, Master's, or Ph.D. program in Engineering, Computer Science, Data Science, Robotics, or a related field
  • Academic focus or coursework in robotics systems, autonomous systems, machine learning (ML/DL/RL/VLM/LLM...), vehicle dynamics, or simulation is preferred
  • Prior internship or project experience in data analysis, programming, or automotive systems is a plus, but not required
  • Strong academic standing (e.g., minimum 3.0 GPA or equivalent recommended)

KNOWLEDGE
  • Foundational understanding of data analysis, statistics, or simulation
  • Basic knowledge of autonomous driving or vehicle safety systems is a plus

SKILLS & ABILITIES
  • Strong analytical and problem-solving skills
  • Proficiency in Python, C++, or Java
  • Familiarity with simulation or machine learning tools is a plus
  • Effective communication and interpersonal skills
  • Ability to work independently and collaboratively within a team

PHYSICAL STANDARDS
The employee must be able to access, enter, and retrieve data using a computer. This is primarily a sedentary position in a controlled office environment which requires only occasional reaching, stooping, and lifting of office files, reports or records, typically weighing 5 lbs. or less. Requires occasional light lifting (5-25 lbs) and on rare occasions, heavy lifting (60 lbs). Must be able on rare occasions to bend, crawl, climb, crouch, kneel and reach above shoulder level in the performance of job duties. Must be able to work in hot and cold weather extremes.

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