Data Labeler Manager
Draper, UT · On-site
Work directly with engineers and Tesla AI leadership and own annotation policies that require an ... Medical plans > plan options with $0 payroll deduction * Family-building, fertility, adoption and ...
Draper, UT · On-site
Work directly with engineers and Tesla AI leadership and own annotation policies that require an ... Medical plans > plan options with $0 payroll deduction * Family-building, fertility, adoption and ...
Draper, UT · On-site
Work directly with engineers and Tesla AI leadership and own annotation policies that require an ... Medical plans > plan options with $0 payroll deduction * Family-building, fertility, adoption and ...
$8.89 - $12.36
14% of jobs
$13.35 is the 25th percentile. Wages below this are outliers.
$12.36 - $15.83
39% of jobs
$18.83 is the 75th percentile. Wages above this are outliers.
$15.83 - $19.30
26% of jobs
$19.30 - $22.77
9% of jobs
$22.77 - $26.24
2% of jobs
$26.24 - $29.71
6% of jobs
$29.71 - $33.18
4% of jobs
$33.18 - $36.65
0% of jobs
$36.65 - $40.12
0% of jobs
$40.12 - $43.59
0% of jobs
$43.59 - $47.06
0% of jobs
$8
$20
$47
A Medical Data Annotation job involves labeling and categorizing medical data, such as patient records, medical images, and clinical notes, to help train artificial intelligence (AI) models. Annotators ensure that AI systems can accurately interpret medical information by applying domain-specific knowledge and following strict guidelines. This role requires attention to detail, familiarity with medical terminology, and sometimes collaboration with healthcare professionals to ensure accuracy.
To thrive in Medical Data Annotation, you need a solid understanding of medical terminology, attention to detail, and familiarity with clinical or healthcare data formats, often backed by relevant coursework or experience in healthcare or life sciences. Proficiency with data annotation platforms, medical coding software, and sometimes certifications like HIPAA compliance are highly valued. Strong communication skills, a high level of accuracy, and the ability to work both independently and collaboratively set standout candidates apart. These skills help ensure data integrity and support the development of reliable AI-powered healthcare solutions.
One of the main challenges in Medical Data Annotation is accurately interpreting complex medical information and ensuring consistency across large datasets. Annotators often work with sensitive patient data, so maintaining confidentiality and adhering to strict data security protocols is essential. The work can be repetitive and detail-oriented, but it is crucial for training reliable medical AI systems. Successful Medical Data Annotation professionals stay motivated by understanding the impact of their work on advancing medical research and patient care.

Other
Medical, Dental, Vision, Life, Retirement, PTO
Posted 9 days ago
8.5
Based on 666 frontline employees who took The Breakroom Quiz
1st of 44 rated automakers
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 DoAlong with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire: