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Intern Data Annotation Tech Jobs in Michigan (NOW HIRING)

Corning

$13.75 - $18.25/hr

Role Purpose The IT Security Data Analyst Intern will support the Cybersecurity team by monitoring and analyzing security-related tickets in ServiceNow, assisting in the tracking of ticket resolution ...

Corning

$13.75 - $18.25/hr

Role Purpose The IT SAP Process Analyst Intern will support the SAP PTP (Plan-to-Produce) function ... Support master data validation and basic updates (e.g., MRP controllers, storage locations ...

Corning

$13.75 - $18.25/hr

The intern will work closely with IT teams, finance stakeholders, and service owners to help collect, organize, validate, and analyze data related to IT services, internal usage, and cost allocation.

General Motors

Senior AI/ML Engineer

Lansing, MI · On-site +1

$106K - $145K/yr

... data-annotation pipelines and machine-led training data solutions at foundation-model scale . We ... Driven to learn new technologies and deepen your expertise across frontend, backend, and data/ML ...

Corning

$13.75 - $18.25/hr

Role Purpose Responsible for conducting research, analyzing data, identifying opportunities for ... An IT intern supports the IT department by assisting with technical tasks, gaining hands-on ...

Corning

$13.75 - $18.25/hr

Role Purpose We are looking for a proactive and detail-oriented IT Project Management Intern to ... Exposure to or interest in AI tools, automation platforms, data analysis tools, or generative AI ...

Emerge

Emerge Intern

Royal Oak, MI

$14 - $18.75/hr

OverviewAs an Emerge Intern, you'll have the opportunity to contribute to real projects that impact ... technology and open to learning new platforms. · Be detail-oriented, especially when handling data ...

BorgWarner, Inc.

Finance Intern

Auburn Hills, MI · On-site

$16.75 - $22/hr

Finance Intern Location : Auburn Hills, Michigan - WHQ About Us BorgWarner is a global product ... Support internal audits, data requests, and cross-functional inquiries related to IT financial ...

BorgWarner

Finance Intern

Auburn Hills, MI

$16.75 - $22/hr

Assistwith budget and forecast development in NICUS, including data validation and system updates * Support IT Finance Manager in preparing management and executive-level presentation materials ...

State of Michigan

Home Help Macro Intern

Lansing, MI · On-site

$15.25 - $20.25/hr

Completing data collection and analysis to assist in quality control measures. * Creating power ... Able to learn new technology quickly. * Able to manage time independently to complete projects ...

Valeo

Sales & Data Analytics Intern

Troy, MI · On-site

$14.25 - $19.25/hr

Valeo is a tech global company, designing breakthrough solutions to reinvent the mobility. We are ... As a Sales & Data Analytics Intern, step into the fast-paced world of a Tier 1 OEM. This internship ...

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All JobsIntern Data Annotation Tech JobsIntern Data Annotation Tech Jobs in Michigan

Intern Data Annotation Tech information

Is data annotation real or fake?

Data annotation is a real and essential process in machine learning where human annotators label data such as images, text, or audio to train AI models. Interns in data annotation roles perform tasks like tagging and categorizing data using specialized tools, contributing to the development of accurate AI systems.

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.

Does data annotation tech really pay?

Data annotation technicians typically earn hourly wages that vary by experience and location, with entry-level positions often paying minimum wage or slightly above. The pay can increase with skill development, familiarity with annotation tools, and the complexity of the data being labeled. Overall, data annotation jobs provide a modest income but are generally not high-paying roles.

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.

What is a data annotation intern?

A data annotation intern is a temporary position where individuals label or categorize data, such as images, text, or videos, to help train machine learning models. The role typically involves using annotation tools and requires attention to detail to ensure data accuracy, often under supervision or with specific guidelines.

Is data annotation tech still hiring?

Data annotation technician roles are currently in demand as companies expand AI and machine learning projects. These positions often require attention to detail and familiarity with annotation tools, and they are available in various industries including tech, healthcare, and automotive. Hiring trends indicate steady opportunities for entry-level and remote data annotation jobs.

What are Intern Data Annotation Techs?

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, and why are they important?

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.
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Intern Data Annotation Tech jobs near you

Robotics Data Collection Engineer

Nastech Global

Warren, MI • On-site

Contractor

Posted 17 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.