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Ai Labeler Jobs in Utah (NOW HIRING)

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 ...

Sr Software Engineer, AI Engineer

Lehi, UT · On-site

$115K - $151K/yr

FiftyOne, CVAT, Vertex AI, Label Studio * Data Visualization/Story Telling and Data Wrangling/Munging/Big Data * MLOps/DevOps: DVC, CML, GTO, Gitlab Pipelines * Cloud: GCP (Vertex AI/Storage/Cloud ...

Sr Software Engineer, AI Engineer

Lehi, UT

$115K - $151K/yr

FiftyOne, CVAT, Vertex AI, Label Studio * Data Visualization/Story Telling and Data Wrangling/Munging/Big Data * MLOps/DevOps: DVC, CML, GTO, Gitlab Pipelines * Cloud: GCP (Vertex AI/Storage/Cloud ...

Sr Software Engineer, AI Engineer

Lehi, UT · On-site

$115K - $151K/yr

FiftyOne, CVAT, Vertex AI, Label Studio * Data Visualization/Story Telling and Data Wrangling/Munging/Big Data * MLOps/DevOps: DVC, CML, GTO, Gitlab Pipelines * Cloud: GCP (Vertex AI/Storage/Cloud ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

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Ai Labeler information

What is an AI labeler?

AI Labelers are professionals who annotate and categorize data, such as images, text, or audio, to help train artificial intelligence and machine learning models. Their work involves identifying objects, tagging features, or providing relevant context so that algorithms can learn to recognize patterns and make accurate predictions. This role is crucial for ensuring that AI systems are trained on high-quality, accurately labeled data, which directly impacts the performance and reliability of the resulting models.

What skills and qualifications are needed to thrive as an AI labeler?

To thrive as an AI Labeler, you need strong attention to detail, basic data entry skills, and familiarity with guidelines for annotating or categorizing data. Experience with labeling platforms, annotation tools, and sometimes basic knowledge of programming languages or image/audio editing software may be required. Reliability, consistency, and the ability to follow detailed instructions are important soft skills in this role. These skills ensure high-quality labeled datasets, which are essential for training accurate and effective AI models.

What are common challenges faced by AI labelers, and how can they be overcome?

AI Labelers often encounter challenges such as ambiguous data, balancing speed with accuracy, and maintaining consistency across large datasets. To overcome these, it's important to follow detailed guidelines provided by the company and ask for clarification when instructions are unclear. Regular feedback sessions with team leads or quality assurance specialists help labelers improve accuracy and stay aligned with project standards. Collaborating closely with other labelers and participating in training can also enhance consistency and reduce errors.

What are popular job titles related to Ai Labeler jobs in Utah?

For Ai Labeler jobs in Utah, the most frequently searched job titles are:

What cities in Utah are hiring for Ai Labeler jobs?

Cities in Utah with the most Ai Labeler job openings:

Infographic showing various Ai Labeler job openings in Utah as of August 2026, with employment types broken down into 71% Full Time, 27% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Data Labeler Manager

Tesla

Draper, UT • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 689 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.

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