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Volunteer Data Labeling Analyst Jobs in Utah (NOW HIRING)

... data labeling operations. Responsibilities : • Conduct ongoing performance management: create coaching plans, track progress, conduct monthly 1:1's, and complete monthly analyst reports • ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Data Labeler

Draper, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Interact with team members to help us improve on the design of an efficient labeling interface ... Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft ...

Senior Data Governance Analyst

Draper, UT · On-site

$80K - $101K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... volunteer time) * Discounted & free product * Tuition reimbursement * Opportunities for career ... As a Senior Data Governance Analyst at Swire Coca-Cola, you will lead efforts to ensure the ...

Senior Data Governance Analyst

Draper, UT · On-site

$90 - $130/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... volunteer time ) * Discounted & free product * Opportunities for career advancement In addition to ... As a Senior Data Governance Analyst at Swire Coca-Cola, you will lead efforts to ensure the ...

New

Data Protection, A/SA-Evergreen

Salt Lake City, UT

$84K - $100K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... labels/encryption, DLP policies, data classification/discovery, Insider Risk Management)

Data Protection, Manager

Salt Lake City, UT · On-site

$150K - $178K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... labeling strategies, advanced DLP policies/integrations, Purview DSPM, data lifecycle/retention controls). * Perform threat mapping and gap analysis across structured, unstructured, cloud, and on ...

Collect, analyze, prepare, and translate program data into executive-level briefings and strategic ... Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable ...

Collect, analyze, prepare, and translate program data into executive-level briefings and strategic ... Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable ...

Collect, analyze, prepare, and translate program data into executive-level briefings and strategic ... Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable ...

Collect, analyze, prepare, and translate program data into executive-level briefings and strategic ... Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable ...

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Volunteer Data Labeling Analyst information

What does a volunteer data labeling analyst do?

A Volunteer Data Labeling Analyst assists organizations by reviewing, categorizing, and tagging data—such as images, text, or audio—to help train machine learning models. Their work ensures that the data used for artificial intelligence projects is accurate and well-organized. Volunteers in this role may annotate various types of data, correct errors, and maintain quality standards according to project guidelines. This position is often remote and can be a great way to gain experience in the data science field while supporting important research and development.

What are the key skills and qualifications needed to thrive as a volunteer data labeling analyst?

To thrive as a Volunteer Data Labeling Analyst, you need attention to detail, basic data handling skills, and familiarity with data annotation concepts, often supported by a high school diploma or equivalent. Experience with data labeling platforms, spreadsheets, and annotation tools like Labelbox or CVAT is typically required. Strong communication, reliability, and the ability to follow instructions help someone excel in collaborative and quality-focused environments. These skills ensure accurate and consistent data labeling, which is critical for developing robust machine learning models.

What are the typical collaboration opportunities for a volunteer data labeling analyst within a project team?

As a Volunteer Data Labeling Analyst, you’ll often work closely with data scientists, machine learning engineers, and project managers to ensure that raw data is accurately categorized for model training. Collaboration typically involves regular check-ins to align on labeling guidelines, resolve ambiguities, and provide feedback on data quality. You may also participate in team meetings to discuss project progress and address any challenges encountered in the labeling process. This collaborative environment not only supports your learning but also helps the team build more robust AI models.

What is the difference between Volunteer Data Labeling Analyst vs Data Annotator?

AspectVolunteer Data Labeling AnalystData Annotator
CredentialsBasic computer skills, sometimes training providedBasic computer skills, often on-the-job training
Work EnvironmentRemote or flexible, volunteer-basedRemote or on-site, paid position
Industry UsageUsed in AI/ML projects, volunteer platformsUsed in AI/ML, tech companies, research

The Volunteer Data Labeling Analyst and Data Annotator roles both involve labeling data for machine learning models. The main difference lies in compensation and commitment: Volunteer Data Labeling Analysts typically work on a volunteer basis, often with flexible hours, while Data Annotators are paid employees or contractors. Both roles require similar skills and are used across AI and tech industries, but the volunteer role emphasizes community contribution without monetary compensation.

What are the most commonly searched types of Data Labeling Analyst jobs in Utah?

The most popular types of Data Labeling Analyst jobs in Utah are:

What are popular job titles related to Volunteer Data Labeling Analyst jobs in Utah?

For Volunteer Data Labeling Analyst jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Volunteer Data Labeling Analyst jobs in Utah look for?

The top searched job categories for Volunteer Data Labeling Analyst jobs in Utah are:

What cities in Utah are hiring for Volunteer Data Labeling Analyst jobs?

Cities in Utah with the most Volunteer Data Labeling Analyst job openings:

Infographic showing various Volunteer Data Labeling Analyst job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Labeler Manager

Tesla

Draper, UT • On-site

Full-time

Re-posted 4 days ago


Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 682 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers


Job description

Job Summary:
Tesla is a leading company in the electric vehicle and AI space, seeking a Data Labeler Manager to oversee a team responsible for annotating data for their AI software. The role involves managing performance, ensuring data integrity, and collaborating with engineering teams to enhance the efficiency of data labeling operations.
Responsibilities:
• Conduct ongoing performance management: create coaching plans, track progress, conduct monthly 1:1’s, and complete monthly analyst reports
• Evaluate daily performance in proprietary software to report daily summaries and team metrics to ensure the team is consistently exceeding expectations
• Work directly with engineers and Tesla AI leadership and own annotation policies that require an understanding of both technical and operational constraints
• Have a solid understanding of project guidelines to be able to communicate labeling concepts effectively, labeling inefficiencies, assist in creating documentation and training materials
• Execute proper headcount allocation between quality control, labeling, and prioritize job queues daily as directed by leadership
• Ensure documentation and daily planning for the team is accurate and consistently updated
• Ensure team alignment with company policies
• Other supervisory duties such as employee development, conducting bi-yearly performance reviews and monthly performance check-ins with Team Leads and Data Labelers, and accurately manage timekeeping
Qualifications:
Required:
• Experience managing and motivating medium-sized teams that perform manual operations
• Ability to manage time efficiently, prioritizing tasks by order of precedence and completing in a timely manner
• Proven record of accomplishments executing and meeting sensitive deadlines with experience managing multiple competing projects with limited resources
• Strong problem-solving skills, with an aptitude for quickly learning systems with minimal training and can adapt in an ambiguous environment
• Effective communication and presentation skills - can explain complicated topics and ideas in a clear and concise manner
• Commitment to data accuracy and throughput
Company:
Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a team of 10001+ employees. The company is currently Late Stage.

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