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Internship Remote Data Annotation Jobs in Ogden, UT

TSMG

AI/ML Data Contributor

Salt Lake City, UT · 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

Salt Lake City, UT · 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 ...

Sorenson

Senior Sign Language Specialist

Salt Lake City, UT · On-site +1

$66K/yr

Maintain accurate records of annotation work, decisions, and edge cases in team tooling and ... Able to sit/stand for long periods of time in an office or remote work environment. * Dexterity of ...

Filevine

Legal Research - Internship

Salt Lake City, UT · On-site +1

Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and ... Nationwide, current student at any accredited law school in the US, open to in-office or remote ...

Wand

Product Analyst

Salt Lake City, UT · Remote

$145K - $175K/yr

... a Data Analyst, Product Analyst, or Business Intelligence role (excluding internships) * SQL ... Experience building metrics frameworks or KPI hierarchies from scratch How we work Fully remote ...

Theirc

Health Program Manager

Salt Lake City, UT · On-site +1

May train and lead the activities of volunteers and interns (including potentially MSW students if ... A combination of standard office environment, remote work, and 'field' time within the service ...

All JobsData Annotation JobsInternship Remote Data Annotation JobsInternship Remote Data Annotation Jobs in Ogden, UT

Internship Remote Data Annotation information

See Ogden, UT salary details

$11

$22

$41

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

As of Aug 24, 2026, the average hourly pay for internship remote data annotation in Ogden, UT is $22.02, according to ZipRecruiter salary data. Most workers in this role earn between $16.92 and $23.99 per hour, depending on experience, location, and employer.

What is a remote data annotation internship?

A remote data annotation internship is a temporary position where interns work from home or another remote location to label, categorize, or tag data such as images, text, or audio. This annotated data is often used to train machine learning models and improve artificial intelligence systems. Interns typically use specialized platforms or tools to complete their tasks, and gain hands-on experience in data handling, quality control, and understanding AI workflows. The internship is ideal for those interested in technology, data science, or AI, and often requires strong attention to detail and good communication skills.

What does a remote data annotation intern do, and how is performance evaluated?

As a remote data annotation intern, your primary tasks will involve reviewing and labeling data—such as images, text, or audio—according to specific guidelines provided by your team. You'll likely work with annotation tools, follow detailed instructions to ensure high-quality and consistent labeling, and may participate in quality assurance checks. Performance is generally evaluated based on annotation accuracy, speed, and your ability to follow instructions, with regular feedback provided via virtual meetings or project management platforms. Effective communication and attention to detail are key to succeeding in this collaborative, remote environment.

What skills and qualifications are needed to thrive as a remote data annotation intern?

To thrive as a Remote Data Annotation Intern, you need attention to detail, basic data processing skills, and familiarity with labeling guidelines, generally supported by a high school diploma or relevant coursework. Experience with annotation platforms, spreadsheets, and sometimes basic programming tools or machine learning frameworks is often required. Strong communication, time management, and the ability to follow precise instructions are valuable soft skills in this role. These skills ensure high-quality, accurate data labeling, which is critical for training reliable machine learning models.

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

AspectInternship Remote Data AnnotationData Labeling Specialist
CredentialsTypically students or entry-level with basic computer skillsRelevant experience or certifications in data annotation or related fields
Work EnvironmentRemote, flexible hours, often part-timeRemote or on-site, depending on employer, often full-time
Industry UsageCommon in AI/ML projects, tech companies, research institutionsUsed in AI/ML, autonomous vehicles, healthcare, and tech sectors

Internship Remote Data Annotation roles are usually entry-level, temporary positions aimed at gaining experience, while Data Labeling Specialists are more experienced roles focused on accurately annotating data for machine learning models. Both roles are essential in AI development but differ in experience requirements and job scope.

What are popular job titles related to Internship Remote Data Annotation jobs in Ogden, UT?

For Internship Remote Data Annotation jobs in Ogden, UT, the most frequently searched job titles are:

What job categories do people searching Internship Remote Data Annotation jobs in Ogden, UT look for?

The top searched job categories for Internship Remote Data Annotation jobs in Ogden, UT are:

What cities near Ogden, UT are hiring for Internship Remote Data Annotation jobs?

Cities near Ogden, UT with the most Internship Remote Data Annotation job openings:

Internship Remote Data Annotation jobs near you
Infographic showing various Internship Remote Data Annotation job openings in Ogden, UT as of August 2026, with employment types broken down into 69% Part Time, and 31% Contract. Highlights an 100% Remote job distribution, with an average salary of $45,806 per year, or $22 per hour.

AI/ML Data Contributor

TSMG

Salt Lake City, UT • Remote

Part-time

Re-posted 27 days ago

Job description

Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.

Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.

Responsibilities
  • 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 ensure high-quality task completion
  • Provide feedback and input during testing activities
  • Complete tasks within given timelines
Requirements
  • Must be based in the United States
  • Strong attention to detail and ability to follow instructions
  • Basic computer skills and familiarity with digital tools
  • Reliable internet connection and access to a computer or smartphone
  • Availability to participate in task-based work (schedule may vary)
Nice to Have
  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies
What We Offer
  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.