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Data Annotation Ai Trainer Jobs in Utah (NOW HIRING)

TSMG

AI/ML Data Contributor

Salt Lake City, UT

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

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

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

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

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

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 ...

micro1 AI

M&A Attorney - AI Trainer - Remote

Provo, UT · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Prior exposure to AI, legal tech, or training initiatives. * Experience working with private equity ...

Tesla

Data Labeler Manager

Draper, UT · On-site

... AI leadership and own annotation policies that require an understanding of both technical and ... training materials • Execute proper headcount allocation between quality control, labeling, and ...

Sorenson

Senior Sign Language Specialist

Salt Lake City, UT · On-site +1

$66K/yr

Partner with AI/ML engineering teams to clarify linguistic requirements for training data, review ... Maintain accurate records of annotation work, decisions, and edge cases in team tooling and ...

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All JobsData Annotation Ai Trainer JobsData Annotation Ai Trainer Jobs in Utah

Data Annotation Ai Trainer information

Is data annotation AI trainer legit?

Data annotation AI trainer roles involve labeling data to help train machine learning models and are generally legitimate jobs in the AI industry. These positions often require attention to detail and familiarity with annotation tools, and they can be found with reputable companies or platforms. However, job seekers should verify the employer's credibility and be cautious of scams or unrealistic promises.

Does data annotation really pay?

Data annotation jobs, including roles like AI trainer, typically pay hourly or per task rates that can range from minimum wage to higher amounts depending on experience and complexity. Many companies offer remote work with flexible schedules, and pay can vary based on skill level, project requirements, and the platform used for job postings.

How much do AI data trainers make?

AI data trainers typically earn between $15 and $30 per hour, depending on experience, location, and the complexity of tasks. Many roles are freelance or part-time, requiring skills in data labeling, annotation tools, and understanding of AI models.

How much do data annotation AI trainers make?

Data annotation AI trainers typically earn between $15 and $30 per hour, depending on experience, location, and the complexity of the annotation tasks. Entry-level positions may pay closer to the lower end, while experienced trainers with specialized skills can earn higher wages, often working remotely with flexible schedules.

What is a Data Annotation AI Trainer job?

A Data Annotation AI Trainer is responsible for labeling and annotating data to help train machine learning models. This involves identifying objects, tagging text, or categorizing images to improve AI accuracy. The role requires attention to detail and an understanding of guidelines to ensure high-quality labeled data. AI trainers work closely with data scientists and engineers to refine model performance through precise annotations.

What are the key skills and qualifications needed to thrive in the Data Annotation Ai Trainer position, and why are they important?

To thrive as a Data Annotation Ai Trainer, you need a keen attention to detail, basic data analysis skills, and familiarity with machine learning concepts, often supported by a relevant degree or coursework. Experience with annotation tools like Labelbox, Supervisely, or similar platforms, along with knowledge of data privacy standards, is commonly required. Strong communication, problem-solving ability, and patience help you work effectively in teams and ensure data quality. These skills are essential because they directly influence the accuracy and effectiveness of AI models trained using annotated data.

What does a typical day look like for a Data Annotation Ai Trainer?

As a Data Annotation Ai Trainer, your typical day involves reviewing and labeling large datasets, providing feedback to annotation teams, and ensuring that data quality meets project standards. You'll often collaborate with data scientists, machine learning engineers, and project managers to clarify guidelines and resolve ambiguities. Periodically, you may help develop or refine documentation and training materials to improve annotation consistency. The role requires both independent work and open communication to maintain high accuracy and support AI development initiatives.

What are popular job titles related to Data Annotation Ai Trainer jobs in Utah? For Data Annotation Ai Trainer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Data Annotation Ai Trainer jobs in Utah look for? The top searched job categories for Data Annotation Ai Trainer jobs in Utah are:
What cities in Utah are hiring for Data Annotation Ai Trainer jobs? Cities in Utah with the most Data Annotation Ai Trainer job openings:
Data Annotation Ai Trainer jobs near you
Infographic showing various Data Annotation Ai Trainer job openings in Utah as of July 2026, with employment types broken down into 33% Full Time, and 67% Part Time. Highlights an 100% In-person job distribution.

AI/ML Data Contributor

TSMG

Salt Lake City, UT

Full-time

Re-posted 2 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.
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