Data Labeler Manager
Draper, UT · On-site
The role involves managing performance, ensuring data integrity, and collaborating with engineering teams to enhance the efficiency of data labeling operations. Responsibilities : • Conduct ongoing ...
Data Labeler Manager
Draper, UT · On-site
The role involves managing performance, ensuring data integrity, and collaborating with engineering teams to enhance the efficiency of data labeling operations. Responsibilities : • Conduct ongoing ...
AI/ML Data Contributor
Salt Lake City, UT · On-site
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 ...
AI/ML Data Contributor
Salt Lake City, UT · On-site
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 ...
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 ...
Quick apply
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 ...
AI/ML Data Contributor
Salt Lake City, UT · On-site
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 ...
AI/ML Data Contributor
Salt Lake City, UT · On-site
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 ...
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 ...
Quick apply
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 ...
AI/ML Data Contributor
Salt Lake City, UT · On-site
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 ...
AI/ML Data Contributor
Salt Lake City, UT · On-site
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 ...
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 ...
Quick apply
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 ...
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 ...
Quick apply
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 ...
AI/ML Data Contributor
Salt Lake City, UT · On-site
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 ...
AI/ML Data Contributor
Salt Lake City, UT · On-site
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 ...
Data Labeler
Draper, UT · On-site
Nopreviousexperience in AI or data labelingrequired. The perfect candidate for this role is ... Interact with team members to help us improve on the design of an efficient labeling interface
Data Labeler
Draper, UT · On-site
Nopreviousexperience in AI or data labelingrequired. The perfect candidate for this role is ... Interact with team members to help us improve on the design of an efficient labeling interface
Experience with data labeling, AI/ML operations, video review, regulated workflows, or public safety is a plus * Startup experience is a plus; processes here will evolve quickly, and we want someone ...
Experience with data labeling, AI/ML operations, video review, regulated workflows, or public safety is a plus * Startup experience is a plus; processes here will evolve quickly, and we want someone ...
Perform end-to-end labeling of fiber optic and copper cables in accordance with client standards and drawings. * Bundle, dress, and route cables to meet data center best practices and client ...
Perform end-to-end labeling of fiber optic and copper cables in accordance with client standards and drawings. * Bundle, dress, and route cables to meet data center best practices and client ...
Perform end-to-end labeling of fiber optic and copper cables in accordance with client standards and drawings. * Bundle, dress, and route cables to meet data center best practices and client ...
Perform end-to-end labeling of fiber optic and copper cables in accordance with client standards and drawings. * Bundle, dress, and route cables to meet data center best practices and client ...
Perform end-to-end labeling of fiber optic and copper cables in accordance with client standards and drawings. * Bundle, dress, and route cables to meet data center best practices and client ...
Perform end-to-end labeling of fiber optic and copper cables in accordance with client standards and drawings. * Bundle, dress, and route cables to meet data center best practices and client ...
Data Protection, Manager
Salt Lake City, UT · On-site
$150K - $178K/yr
Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced DLP policies/integrations, Purview DSPM, data lifecycle/retention controls). * Perform threat mapping ...
Data Protection, Manager
Salt Lake City, UT · On-site
$150K - $178K/yr
Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced DLP policies/integrations, Purview DSPM, data lifecycle/retention controls). * Perform threat mapping ...
Knowledge of labeling standards and cabling best practices. * Strong Excel skills (data vetting, port mapping, tracking, pivots/macros). * Excellent organization and communication skills.
Knowledge of labeling standards and cabling best practices. * Strong Excel skills (data vetting, port mapping, tracking, pivots/macros). * Excellent organization and communication skills.
Knowledge of labeling standards and cabling best practices. * Strong Excel skills (data vetting, port mapping, tracking, pivots/macros). * Excellent organization and communication skills.
Knowledge of labeling standards and cabling best practices. * Strong Excel skills (data vetting, port mapping, tracking, pivots/macros). * Excellent organization and communication skills.
Data Protection, A/SA-Evergreen
Salt Lake City, UT · On-site
$84K - $100K/yr
... labels/encryption, DLP policies, data classification/discovery, Insider Risk Management). * Participate in requirements gathering, workshops, and documentation efforts. * Execute assigned tasks ...
Data Protection, A/SA-Evergreen
Salt Lake City, UT · On-site
$84K - $100K/yr
... labels/encryption, DLP policies, data classification/discovery, Insider Risk Management). * Participate in requirements gathering, workshops, and documentation efforts. * Execute assigned tasks ...
Join E2 Optics as a Data Center Infrastructure Technician! Are you ready to elevate your career ... Pull, dress, and label cabling (Cat5e/Cat6) according to TIA/EIA standards. * Begin RJ45 connector ...
Join E2 Optics as a Data Center Infrastructure Technician! Are you ready to elevate your career ... Pull, dress, and label cabling (Cat5e/Cat6) according to TIA/EIA standards. * Begin RJ45 connector ...
Data Center Cabling Project Manager | Supervisor
Salt Lake City, UT · On-site
$117K/yr
Knowledge of labeling standards and cabling best practices. * Strong Excel skills (data vetting, port mapping, tracking, pivots/macros). * Excellent organization and communication skills.
New
Data Center Cabling Project Manager | Supervisor
Salt Lake City, UT · On-site
$117K/yr
Knowledge of labeling standards and cabling best practices. * Strong Excel skills (data vetting, port mapping, tracking, pivots/macros). * Excellent organization and communication skills.
New
Data Labeling information
See Sandy, UT salary details
$9.72 - $13.78
9% of jobs
$14.96 is the 25th percentile. Wages below this are outliers.
$13.78 - $17.85
54% of jobs
$21.37 is the 75th percentile. Wages above this are outliers.
$17.85 - $21.92
14% of jobs
$21.92 - $25.99
4% of jobs
$25.99 - $30.05
2% of jobs
$30.05 - $34.12
11% of jobs
$34.12 - $38.19
2% of jobs
$38.19 - $42.26
1% of jobs
$42.26 - $46.32
1% of jobs
$46.32 - $50.39
1% of jobs
$50.39 - $54.46
1% of jobs
$9
$23
$54
How much do data labeling jobs pay per hour?
As of Aug 29, 2026, the average hourly pay for data labeling in Sandy, UT is $23.04, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $26.44 per hour, depending on experience, location, and employer.
What is data labeling?
A Data Labeling job involves annotating or tagging data, such as images, text, audio, or videos, to help train machine learning models. Labelers follow specific guidelines to classify data accurately so that AI systems can learn patterns and make predictions. This role is essential in fields like computer vision, natural language processing, and speech recognition. Strong attention to detail and consistency are crucial for ensuring high-quality training datasets.
What are the typical day-to-day responsibilities of a data labeling professional?
A Data Labeling professional is primarily responsible for reviewing and accurately tagging images, text, audio, or video data according to specified guidelines. Daily tasks often include managing large datasets, using annotation software to classify data, and verifying the quality and accuracy of the labels. Collaboration with data scientists, project managers, and other annotators is common, especially when clarifying labeling guidelines or resolving ambiguities. Attention to detail is crucial, as high-quality labeled data directly impacts the effectiveness of machine learning models and AI applications. Most positions are structured in team environments, where productivity and communication skills help ensure project deadlines are met.
What are the key skills and qualifications needed to thrive in data labeling, and why are they important?
To thrive in Data Labeling, you need meticulous attention to detail, strong analytical abilities, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with data annotation tools, image or text editing software, and experience with platforms like Labelbox or Amazon SageMaker Ground Truth are commonly advantageous. Exceptional concentration, patience, and the ability to follow precise instructions are valuable soft skills in this position. These skills and qualities are essential for ensuring the accuracy and consistency of labeled datasets, which are critical for training reliable AI and machine learning models.
How can I get started in data labeling?
To get started in data labeling, you should develop basic skills in data annotation tools and understand labeling guidelines for different data types such as images, text, or audio. Many entry-level positions require attention to detail and sometimes a background in relevant fields like computer science or linguistics; online courses and practice datasets can help build your skills. Additionally, creating a strong profile on job platforms and applying to companies that offer remote or flexible data labeling roles can increase your chances of starting in this field.
How much do data labelers make?
Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform or employer. Some may work as freelancers or part-time, with pay rates varying accordingly.
Is data labeling a good career?
Data labeling is a growing field that involves annotating data for machine learning models, often requiring attention to detail and familiarity with tools like labeling platforms. It can offer flexible schedules and entry-level opportunities, but typically provides lower pay compared to other tech roles and may lack long-term career advancement without additional skills. Overall, it can be a suitable starting point for those interested in AI and data science, but may not be ideal as a long-term career without further development.
What are data labeling jobs?
Data labeling jobs involve annotating or tagging data such as images, text, or videos to help train machine learning models. These roles typically require attention to detail and familiarity with labeling tools or software, and may be performed remotely or in a team environment.
What are the most commonly searched types of Data Labeling jobs in Sandy, UT?
The most popular types of Data Labeling jobs in Sandy, UT are:
What are popular job titles related to Data Labeling jobs in Sandy, UT?
For Data Labeling jobs in Sandy, UT, the most frequently searched job titles are:
What job categories do people searching Data Labeling jobs in Sandy, UT look for?
The top searched job categories for Data Labeling jobs in Sandy, UT are:
What cities near Sandy, UT are hiring for Data Labeling jobs?
Cities near Sandy, UT with the most Data Labeling job openings:
Tesla rating
8.5
Based on 687 frontline employees who took The Breakroom Quiz
1st of 45 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.
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.