Data Labeler Manager
Draper, UT · On-site
... and own annotation policies that require an understanding of both technical and operational ... Data Labelers, and accurately manage timekeeping Qualifications : Required : • Experience ...
Data Labeler Manager
Draper, UT · On-site
... and own annotation policies that require an understanding of both technical and operational ... Data Labelers, and accurately manage timekeeping Qualifications : Required : • Experience ...
$55K - $100K/yr
Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage ...
$55K - $100K/yr
Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage ...
... annotation, file setup, and sheet generation * Ability to read and interpret survey data, ROW ... Strong organizational and time management skills; able to meet deadlines without close supervision
... annotation, file setup, and sheet generation * Ability to read and interpret survey data, ROW ... Strong organizational and time management skills; able to meet deadlines without close supervision
... annotation, file setup, and sheet generation * Ability to read and interpret survey data, ROW ... Strong organizational and time management skills; able to meet deadlines without close supervision
... annotation, file setup, and sheet generation * Ability to read and interpret survey data, ROW ... Strong organizational and time management skills; able to meet deadlines without close supervision
... annotation, file setup, and sheet generation * Ability to read and interpret survey data, ROW ... Strong organizational and time management skills; able to meet deadlines without close supervision
... annotation, file setup, and sheet generation * Ability to read and interpret survey data, ROW ... Strong organizational and time management skills; able to meet deadlines without close supervision
... annotation, file setup, and sheet generation * Ability to read and interpret survey data, ROW ... Strong organizational and time management skills; able to meet deadlines without close supervision
... annotation, file setup, and sheet generation * Ability to read and interpret survey data, ROW ... Strong organizational and time management skills; able to meet deadlines without close supervision
Data Annotation Manager information
See Utah salary details
$28.2K - $39.9K
7% of jobs
$39.9K - $51.6K
8% of jobs
$59.4K is the 25th percentile. Wages below this are outliers.
$51.6K - $63.2K
14% of jobs
$63.2K - $74.9K
18% of jobs
The median wage is $77K / yr.
$74.9K - $86.6K
15% of jobs
$86.6K - $98.2K
7% of jobs
$107K is the 75th percentile. Wages above this are outliers.
$98.2K - $109.9K
7% of jobs
$109.9K - $121.6K
6% of jobs
$121.6K - $133.2K
6% of jobs
$133.2K - $144.9K
4% of jobs
$144.9K - $156.6K
6% of jobs
$28.2K
$88.4K
$156.6K
How much do data annotation manager jobs pay per year?
As of Aug 4, 2026, the average yearly pay for data annotation manager in Utah is $88,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,100.00 and $114,300.00 per year, depending on experience, location, and employer.
What are some common challenges faced by data annotation managers, and how can they be addressed?
Data Annotation Managers often encounter challenges such as maintaining high annotation quality across large and diverse datasets, managing a distributed team of annotators, and meeting tight project deadlines. To address these, it's important to implement robust quality assurance processes, provide ongoing training for annotators, and establish clear communication channels. Leveraging annotation tools with built-in validation features can also help ensure consistency and accuracy. Building a positive and collaborative team environment further contributes to better outcomes and workflow efficiency.
What does a data annotation manager do?
A Data Annotation Manager oversees the process of labeling and categorizing data used to train machine learning models. They manage teams of annotators, ensure data quality, develop annotation guidelines, and coordinate with data scientists to meet project requirements. Their role is critical in maintaining high standards of accuracy and efficiency, as well as ensuring that datasets are properly prepared for AI and machine learning applications.
What are the key skills and qualifications needed to thrive as a data annotation manager?
To thrive as a Data Annotation Manager, you need expertise in data labeling processes, quality control, and a solid understanding of machine learning concepts, usually backed by a degree in computer science or a related field. Proficiency with annotation tools such as Labelbox, Supervisely, or CVAT, as well as experience with project management systems, is commonly required. Exceptional leadership, attention to detail, and strong communication skills help manage teams and ensure high annotation accuracy. These skills are critical for delivering reliable labeled datasets, which are essential for building effective AI and machine learning models.
What is the difference between Data Annotation Manager vs Data Labeling Specialist?
| Aspect | Data Annotation Manager | Data Labeling Specialist |
|---|---|---|
| Credentials | Bachelor's degree in related field, experience in data management | High school diploma or equivalent, training in labeling tools |
| Work Environment | Team management, project oversight, collaboration with data scientists | Hands-on labeling work, using annotation tools, focused on data tagging |
| Industry Usage | Used in AI/ML projects for overseeing annotation teams | Performs the actual data labeling tasks in machine learning workflows |
The Data Annotation Manager oversees the entire annotation process, managing teams and ensuring quality, while the Data Labeling Specialist focuses on executing labeling tasks. Both roles are essential in AI/ML data preparation but differ in responsibilities and scope.
What are the most commonly searched types of Data Annotation jobs in Utah? The most popular types of Data Annotation jobs in Utah are:
What are popular job titles related to Data Annotation Manager jobs in Utah? For Data Annotation Manager jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Data Annotation Manager jobs in Utah look for? The top searched job categories for Data Annotation Manager jobs in Utah are:
What cities in Utah are hiring for Data Annotation Manager jobs? Cities in Utah with the most Data Annotation Manager job openings:
Tesla rating
8.5
Based on 679 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.