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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.

Faurecia

Data Science Intern

Auburn Hills, MI · On-site

Forvia, a sustainable mobility technology leader New trends and expectations are reshaping the ... FORVIA is looking for a year-round Data Science Intern for its headquarters in Auburn Hills ...

Faurecia

Data Science Intern

Auburn Hills, MI

Forvia, a sustainable mobility technology leader New trends and expectations are reshaping the ... FORVIA is looking for a year-round Data Science Intern for its headquarters in Auburn Hills ...

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 ...

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 ...

Autoliv United States

GenAI Intern

Auburn Hills, MI · On-site

$14.25 - $19/hr

... Microsoft technologies. You'll work with business teams to identify opportunities, support ... Currently pursuing a degree in CS, AI, Data Science, or related field * Availability to work on ...

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

Intern Data Annotation Tech information

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. The application process is often straightforward, with many companies offering entry-level positions that do not require extensive experience or certifications.

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 can range from minimum wage to above average, depending on experience and location. Entry-level roles often pay around $10 to $15 per hour, with higher rates for skilled annotators or those working on specialized projects. Compensation can also include flexible schedules and remote work options.

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, with tasks often performed remotely or in a supervised environment.

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.

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 basic annotation tools and guidelines. 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 labeling standards can improve performance over time.

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.
What are the most commonly searched types of Data Annotation Tech jobs in Michigan? The most popular types of Data Annotation Tech jobs in Michigan are:
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Intern Data Annotation Tech jobs near you
Infographic showing various Intern Data Annotation Tech job openings in Michigan as of July 2026, with employment types broken down into 2% Locum Tenens, 33% Full Time, 27% Part Time, 2% Contract, 35% Nights, and 1% Summer. Highlights an 56% Physical, 1% Hybrid, and 43% Remote job distribution.

English (US) Audio QA Annotation Specialist

MatchaTalent

Ann Arbor, MI • On-site, Remote

Full-time

Posted 14 days ago

Job description

This role requires the candidate to work remotely from the United States.


Client Overview

Our client is a global artificial intelligence technology company specializing in the development of advanced large language models (LLMs), speech recognition technologies, multilingual AI systems, and data annotation solutions. The organization collaborates with leading AI research laboratories and enterprise technology companies worldwide to accelerate the development of next-generation artificial intelligence through high-quality human-generated data.

Supporting a diverse portfolio of multilingual AI initiatives, the company works with language specialists, voice professionals, and annotation experts across the globe to improve the accuracy, contextual understanding, and performance of cutting-edge AI systems used in speech processing, conversational AI, and natural language understanding.


Job Role

The English (US) Audio QA Annotation Specialist is responsible for reviewing, evaluating, and validating English (US) audio recordings to ensure they meet the highest quality standards required for AI speech recognition and audio annotation projects.

Working as part of a multilingual quality assurance team, this role focuses on assessing recording accuracy, pronunciation, fluency, audio clarity, annotation consistency, and compliance with project guidelines. The successful candidate will help ensure that all approved audio data contributes effectively to the development of advanced multilingual AI speech technologies.


Key Responsibilities

  • Review and evaluate English (US) audio recordings for quality, pronunciation accuracy, clarity, and natural speech delivery.
  • Verify annotation accuracy and ensure all submitted recordings comply with project guidelines and quality standards.
  • Identify audio quality issues including background noise, recording inconsistencies, pronunciation errors, or technical defects.
  • Provide structured quality feedback and recommend improvements when recordings do not meet required standards.
  • Ensure consistency across annotated datasets by following established QA processes and evaluation criteria.
  • Collaborate with project reviewers and annotation teams to maintain high-quality multilingual datasets.
  • Maintain accurate documentation of review outcomes and quality assurance findings.
  • Support the continuous improvement of AI speech recognition models through high-quality audio validation.


Candidate Requirements

  • Native-level fluency in English (US) with excellent listening comprehension and pronunciation knowledge.
  • Minimum 1 year of experience in audio quality assurance, audio annotation, localization, transcription review, voice-over, dubbing, ADR, or related language quality roles.
  • Strong attention to detail with the ability to identify pronunciation, fluency, and audio quality issues accurately.
  • Excellent understanding of American English linguistic nuances, regional accents, grammar, and natural speech patterns.
  • Experience reviewing audio recordings and applying quality standards consistently.
  • Familiarity with audio editing or audio playback software is preferred.
  • Strong analytical skills with the ability to provide clear and actionable quality feedback.
  • Ability to work independently while meeting project deadlines and quality targets.


Job Code: #784