Data Labeler Manager
Draper, UT · On-site
Work directly with engineers and Tesla AI leadership and own annotation policies that require an ... Commitment to data accuracy and throughput Compensation and Benefits Benefits Along with ...
Data Labeler Manager
Draper, UT · On-site
Work directly with engineers and Tesla AI leadership and own annotation policies that require an ... Commitment to data accuracy and throughput Compensation and Benefits Benefits Along with ...
Data Annotation Engineer information
See Orem, UT salary details
$44.8K - $56.3K
2% of jobs
$56.3K - $67.8K
9% of jobs
$75.8K is the 25th percentile. Wages below this are outliers.
$67.8K - $79.3K
20% of jobs
$79.3K - $90.8K
4% of jobs
$90.8K - $102.3K
4% of jobs
$102.3K - $113.8K
1% of jobs
$113.8K - $125.3K
0% of jobs
$125.3K - $136.8K
0% of jobs
The median wage is $142.5K / yr.
$136.8K - $148.3K
18% of jobs
$148.3K - $159.8K
0% of jobs
$164.2K is the 75th percentile. Wages above this are outliers.
$159.8K - $171.3K
41% of jobs
$44.8K
$128.2K
$171.3K
How much do data annotation engineer jobs pay per year?
As of Jun 26, 2026, the average yearly pay for data annotation engineer in Orem, UT is $128,198.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,000.00 and $170,400.00 per year, depending on experience, location, and employer.
What are the main challenges faced by Data Annotation Engineers in their daily work?
One of the main challenges Data Annotation Engineers face is ensuring consistent accuracy and quality in labeling large and often complex datasets. Attention to detail is critical, as even small errors can significantly affect machine learning model performance. Additionally, engineers must frequently adapt to evolving annotation guidelines and emerging data types, which requires ongoing learning and flexibility. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities, making strong communication skills essential for success.
What are the key skills and qualifications needed to thrive in the Data Annotation Engineer position, and why are they important?
To thrive as a Data Annotation Engineer, you need a strong background in data analysis, attention to detail, and familiarity with annotation processes, often supported by a degree in computer science or a related field. Proficiency with annotation tools like Labelbox, CVAT, or VIA, and understanding of data formats used in machine learning, is commonly required. Excellent communication, collaboration, and organizational skills help you effectively manage projects and cooperate with cross-functional teams. These abilities are crucial for delivering high-quality labeled data, which directly impacts the performance of AI and machine learning models.
Is data annotation real or fake?
Data annotation is a real and essential process in machine learning where human annotators label data such as images, text, or audio to train AI models. Data annotation engineers perform this work using specialized tools and quality standards to ensure accurate and reliable datasets.
What is a data annotation engineer?
A data annotation engineer is a professional responsible for labeling and annotating data, such as images, text, or videos, to train machine learning models. They often use specialized tools and follow guidelines to ensure data quality and accuracy, supporting AI development and data-driven applications.
How hard is it to get a job with data annotation tech?
Getting a job as a Data Annotation Engineer typically requires basic computer skills, attention to detail, and familiarity with annotation tools or platforms. Entry-level positions are often accessible with minimal formal education, but having knowledge of machine learning concepts or experience with data labeling can improve job prospects.
Does data annotation really pay you?
Data annotation engineers are typically paid for their work, often earning hourly wages or project-based fees depending on the employer or platform. Compensation varies based on experience, skill level, and the complexity of annotation tasks, which may involve using tools like labeling software or AI platforms.
What is a Data Annotation Engineer job?
A Data Annotation Engineer is responsible for labeling and annotating data—such as text, images, audio, or video—to train machine learning models. They ensure that data is accurately categorized and structured to improve model performance. This role often involves using specialized annotation tools, following detailed guidelines, and working closely with data scientists and AI teams. Data Annotation Engineers play a crucial role in the development of AI applications by providing high-quality labeled datasets for supervised learning.
What job categories do people searching Data Annotation Engineer jobs in Orem, UT look for? The top searched job categories for Data Annotation Engineer jobs in Orem, UT are:
What cities near Orem, UT are hiring for Data Annotation Engineer jobs? Cities near Orem, UT with the most Data Annotation Engineer job openings:
Other
Medical, Dental, Vision, Life, Retirement, PTO
Posted 10 days ago
Tesla rating
8.5
Based on 666 frontline employees who took The Breakroom Quiz
1st of 44 rated automakers
Job description
What to Expect
What You'll Bring
Compensation and Benefits Benefits
The Data Labeling team is responsible for annotating images, videos, and other data for our Tesla AI software. Accurate data is the foundation for training our neural networks and serves as the ground truth for Tesla's artificial intelligence. The team works cohesively with engineering teams to launch customer-facing releases.
The Data Labeler Manager will lead a team of Data Labelers that labels in 3D image data for neural network training. A successful candidate will have high attention to detail, an appreciation for data integrity, leadership skills to drive efficiency for medium-sized teams of annotators and adhere to clear instructions directed by leadership to deliver results.
What You'll Do- 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
What You'll Bring
- 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
Compensation and Benefits Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
- Medical plans > plan options with $0 payroll deduction
- Family-building, fertility, adoption and surrogacy benefits
- Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
- Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA
- Healthcare and Dependent Care Flexible Spending Accounts (FSA)
- 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
- Company paid Basic Life, AD&D
- Short-term and long-term disability insurance (90 day waiting period)
- Employee Assistance Program
- Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays
- Back-up childcare and parenting support resources
- Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
- Weight Loss and Tobacco Cessation Programs
- Tesla Babies program
- Commuter benefits
- Employee discounts and perks program