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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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
Responsibilities : • 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 ...
Responsibilities : • 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 ...
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 ...
Quick apply
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 ...
The Data Center Technician I is a 24x7x365, market-based position responsible for providing ... Install, label, terminate, test and troubleshoot cabling consistently. * Document CLX entries.
The Data Center Technician I is a 24x7x365, market-based position responsible for providing ... Install, label, terminate, test and troubleshoot cabling consistently. * Document CLX entries.
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.
A Data Center Technician is responsible for supporting the installation, maintenance, and ... Perform cable management, dressing, and labeling according to project standards. * Read and ...
Quick apply
A Data Center Technician is responsible for supporting the installation, maintenance, and ... Perform cable management, dressing, and labeling according to project standards. * Read and ...
Data Center Technician
Midvale, UT · On-site
Working onsite at Microsoft Data Center A Data Center Technician you will handle hardware ... Installing, labeling, and troubleshooting fiber, copper, and other cabling infrastructure.
Data Center Technician
Midvale, UT · On-site
Working onsite at Microsoft Data Center A Data Center Technician you will handle hardware ... Installing, labeling, and troubleshooting fiber, copper, and other cabling infrastructure.
A Data Center Technician is responsible for supporting the installation, maintenance, and ... Perform cable management, dressing, and labeling according to project standards. * Read and ...
Quick apply
A Data Center Technician is responsible for supporting the installation, maintenance, and ... Perform cable management, dressing, and labeling according to project standards. * Read and ...
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 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 8, 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.
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.
How can I get started in data labeling?
To get started in data labeling, you should develop basic computer skills and familiarize yourself with common labeling tools or platforms. Many entry-level positions require attention to detail and sometimes a short training or tutorial before beginning work.
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.
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 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 controlled environment.
Is data labeling a good career?
Data labeling is a growing field within data annotation and machine learning, often involving tasks like image, text, or audio annotation. It can offer entry-level opportunities with flexible schedules, but typically requires attention to detail and familiarity with labeling tools. Career advancement may depend on gaining technical skills or moving into related roles such as data analysis or machine learning engineering.
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 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 681 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.
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.