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Internship Remote Data Labelling Jobs (NOW HIRING)

Contractor Location: Remote Role Overview We are looking for detail-oriented Video Annotation ... The role involves accurate video labeling and structured data annotation to support AI and machine ...

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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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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

As of Sep 13, 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 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.

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Infographic showing various Internship Remote Data Labelling job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Analytics Intern - Remote based in the US

Dallas, TX • On-site, Remote

Tenet Health
Health Care and Social Assistance • 10K+ employees

$20 - $25/hr

Part-time

Retirement

Posted 18 days ago


Tenet Healthcare rating

6.3

Company rating: 6.3 out of 10

Based on 359 frontline employees who took The Breakroom Quiz


Job description

If you are looking for a valuable hands-on opportunity in the healthcare industry, Conifer Health, a division of Tenet Health has an internship for you! As a part of the Tenet and Catholic Health Initiatives family, Conifer Health brings 30 years of healthcare industry expertise to clients in more than 135 local regions nationwide. We help our clients strengthen their financial and clinical performance, serve their communities, and succeed at the business of healthcare. Conifer Health helps organizations transition from volume to value-based care, enhance the consumer and patient healthcare experience and improve quality, cost and access to healthcare. 

Interns are considered an integral part of the overall Conifer Health team as Interns provide diversity of thought, experience and collaborative energy that has positive benefits for the Intern as well as Conifer Health.  During the internship, Interns will be assigned to a respective service line or business function within Conifer Health.

Program Overview:

  • Full-Time, Paid Internship
  • Remote work arrangement 
  • Six-month internship experience

Benefits:

  • Opportunity for mentorship and professional development.
  • Exposure to real-world Corporate Development projects and challenges.
  • Networking opportunities with experienced professionals.
  • Potential for future full-time employment.
  • Strong written and verbal communication abilities.
  • Must demonstrate accuracy, strong follow-up skills, and the ability to manage data with precision.
  • Working knowledge of computer applications; training will be provided as needed.
  • Intermediate proficiency in Microsoft Excel, including formulas, pivot tables, data validation, and reporting structure.
  • Intermediate proficiency in Word and PowerPoint.
  • SharePoint administration and support.
  • Ability to adapt to changing priorities and work overtime when required.
  • Must be organized, able to manage multiple tasks, and work independently with minimal supervision.
  • Pursuing an undergraduate degree in healthcare management, business administration, accounting, finance, or human resources.
  • Preferred GPA of 3.0 or higher; sophomore, junior, or senior level preferred.

Compensation

  • Pay: $20.00-$25.00 per hour. Compensation depends on location, qualifications, and experience.

Benefits

The following benefits are available, subject to employment status:

  • Discretionary 401k match

The Analytics Intern will support the business function through project-based assignments focused on data accuracy, reporting enhancements, and operational efficiency. This role requires strong analytical skills, high attention to detail, and the ability to work extensively with Excel, including updating reports, tracing formulas, validating data, and assisting with automation initiatives.

Key Responsibilities

  • Accurately update and maintain Excel-based reports, ensuring data integrity and consistency across all metrics.
  • Trace, audit, and troubleshoot formulas to ensure correct calculations and proper linkage across worksheets.
  • Assist in identifying opportunities for automation and support basic workflow improvements within reporting processes.
  • Complete assigned projects within the internship timeline, delivering high-quality outputs.
  • Support day-to-day initiatives and special projects with professionalism and accuracy.
  • Conduct research on healthcare trends relevant to the business function.
  • Attend and contribute to team meetings.
  • Perform other duties and projects as assigned.

What Tenet Healthcare employees say

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