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Internship Remote Data Labelling Jobs in Detroit, MI

Novoco

2027 Staff Accountant Intern

Detroit, MI · On-site +1

$27/hr

Our trendsetting interns learn hands-on what it takes to be a staff accountant for a growing ... Some positions at Novogradac may be open to remote or hybrid work arrangements depending on ...

Directive

Controller (Remote US)

Detroit, MI · Remote

$125K - $140K/yr

... interns, helping develop technical skills, ensuring accuracy in their work, and fostering ... data, identify discrepancies, and make informed predictions What We Offer: * We have a set living ...

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Internship Remote Data Labelling information

See Detroit, MI salary details

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$41

How much do internship remote data labelling jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for internship remote data labelling in Detroit, MI is $22.28, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $24.28 per hour, depending on experience, location, and employer.

What is an internship remote data labelling?

An Internship Remote Data Labelling job involves reviewing and tagging data—such as images, text, or audio—from a remote location to help train machine learning algorithms. Interns in this role classify, annotate, or categorize raw data according to specific guidelines provided by the employer or project. This work is crucial for improving the accuracy of AI models, as properly labeled data enables better learning outcomes. Remote data labelling internships are ideal for students or recent graduates looking to gain experience in AI, data science, or related fields while working from anywhere.

What are the key skills and qualifications needed to thrive as an internship remote data labelling professional?

To excel as an Internship Remote Data Labelling professional, you need strong attention to detail, basic computer literacy, and familiarity with data annotation processes, often requiring at least a high school diploma or equivalent. Experience with data labelling platforms such as Labelbox or Supervisely, and understanding file formats like CSV or JSON, are commonly expected. Reliability, time management, and effective communication are important soft skills for remote collaboration and meeting deadlines. These competencies ensure high-quality, consistent data labelling that supports accurate machine learning model development.

What are some typical challenges faced by remote data labelling interns, and how can they be addressed?

Remote data labelling interns often encounter challenges such as managing repetitive tasks, maintaining high accuracy, and communicating effectively with team members across different time zones. To address these, it's helpful to establish a structured daily routine, regularly review quality guidelines, and use collaboration tools like Slack or Teams to stay connected. Seeking timely feedback from supervisors and participating in virtual team check-ins can also improve both efficiency and data consistency.

What is the difference between Internship Remote Data Labelling vs Data Annotation Specialist?

AspectInternship Remote Data LabellingData Annotation Specialist
CredentialsTypically students or entry-level with basic computer skillsOften requires experience or training in data annotation tools
Work EnvironmentRemote, flexible hours, internship settingRemote or on-site, professional setting
Employer & IndustryTech companies, AI startups, research projectsAI, machine learning, data services companies
Search & Comparison IntentLearning opportunity, entry-level roleProfessional data labeling work, career development

Internship Remote Data Labelling typically involves entry-level, temporary roles focused on training and learning, often suitable for students. Data Annotation Specialists are more experienced professionals performing detailed labeling tasks for ongoing projects. While both roles involve data labeling, the internship emphasizes skill development, whereas the specialist role centers on professional expertise.

What are popular job titles related to Internship Remote Data Labelling jobs in Detroit, MI?

For Internship Remote Data Labelling jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Internship Remote Data Labelling jobs in Detroit, MI look for?

The top searched job categories for Internship Remote Data Labelling jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Internship Remote Data Labelling jobs?

Cities near Detroit, MI with the most Internship Remote Data Labelling job openings:

Internship Remote Data Labelling jobs near you

Flexible remote AI work. Your schedule. Paid weekly, straight to your bank account.

Meridian.ai

Warren, MI • Remote

Full-time

Posted 2 days ago

New

Job description

What You'll Do

Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.

Who We're Looking For

Detail-oriented individuals who take quality seriously and can follow detailed instructions consistently. Strong readers and writers with good judgment are a great fit. Prior experience in data labeling, annotation, research, writing, or operations is helpful but not required.

Requirements
  • Strong attention to detail
  • Clear written communication skills
  • Reliable internet connection and computer
  • Ability to work independently and meet deadlines
  • Basic familiarity with web-based tools or online forms
What We Offer
  • Remote, flexible contract work
  • Clear guidelines and training
  • Performance feedback and opportunities to grow
  • A mission-driven team focused on accuracy and quality

Ready to apply? Join a team helping build the data foundation behind better technology.

Workada is an Equal Opportunity Employer.

Apply