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Internship Remote Data Labelling Jobs (NOW HIRING)

Smart Course

Smart Course - Internship (Remote)

New York, NY · On-site +1

$16.50 - $22/hr

Examine financial data and use them to improve profitability * Manage budgets and forecasts ... research, internships, demonstrated skill) * Have a track record of success in academic and/or ...

TSMG

AI/ML Data Contributor

Birmingham, AL · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

New Orleans, LA · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

New York, NY · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Fargo, ND · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Boise, ID · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

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Internship Remote Data Labelling information

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$42

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

As of Jun 21, 2026, the average hourly pay for internship remote data labelling in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Remote Data Labelling professional, and why are they important?

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 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 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 an Internship Remote Data Labelling job?

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.
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Internship Remote Data Labelling jobs near you
Infographic showing various Internship Remote Data Labelling job openings in the United States as of June 2026, with employment types broken down into 8% Internship, 15% As Needed, and 77% Part Time. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Data Entry Internship (Remote/Hybrid)

ECOLOGICAL SERVANTS PROJECT

Ramona, CA • On-site, Remote

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Join the EcoServants Data Entry Internship and play a key role in shaping the future of environmental programs through data entry. This unpaid, fully remote internship is perfect for students or early-career professionals studying environmental science, data analytics and entry.

Interns will work alongside our dedicated data team to evaluate and take note of the impact of cleanups, restoration projects, and educational initiatives using real-world environmental data.

Key Responsibilities:

  • Transcribe handwritten or photo-based counts into structured fields
  • Standardize categories, species names, and counts using taxonomy standards
  • Correct inconsistencies and ensure CSR entries follow approved formats
  • Maintain accurate logs and spreadsheets of volunteer cleanup data
  • Flag unclear or missing submissions for analyst review and resolution

Ideal Candidate:

  • Skilled in data entry and interpretation of data

  • Familiar with spreadsheets, databases, or data analysis tools

  • Interested in environmental science, policy, or community sustainability

  • Able to transcribe data into structured, organized spreadsheets and logs

  • Works well independently in a remote team environment

This internship is a great fit for students looking to apply their analytical skills to environmental issues and help a nonprofit scale its positive impact.

Private Group Details:

  • Event can be held virtually
  • Donation Requested

Apply