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Ai Labelling Jobs in Texas (NOW HIRING)

This person labels images & videos that contribute to our deep learning network. In this role you ... Nopreviousexperience in AI or data labelingrequired. The perfect candidate for this role is ...

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class ... labelling system leveraging computer vision, and machine learning. - Manage the end-to-end ...

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class ... labelling system leveraging computer vision, and machine learning. - Manage the end-to-end ...

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class ... labelling system leveraging computer vision, and machine learning. - Manage the end-to-end ...

Train labelers on AST's in-house image-labeling software, including labeling conventions, ontology updates, quality standards, escalation paths, and productivity expectations * Monitor labeling ...

Train labelers on AST's in-house image-labeling software, including labeling conventions, ontology updates, quality standards, escalation paths, and productivity expectations * Monitor labeling ...

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 ...

AI Solutions Architect

Austin, TX · On-site +1

$62.50 - $82.25/hr

AI Solutions Architect Type: Contract / Consulting Duration: 6 months (extendable) Location: Remote ... multi-label intents), and how context flows between agents and sessions - Collaborating on the ...

Experience with auto-labeling systems or AI-assisted annotation tools. * Background reviewing or auditing machine-generated outputs. * Familiarity with inter-annotator agreement and data quality ...

... labels, DLP, and permission scoping, and how these impact AI-driven solutions. • Excellent problem-solving, communication, and organizational skills; meticulous attention to detail and a commitment ...

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Ai Labelling information

What are some typical challenges faced in AI Labelling roles and how can they be managed?

One common challenge in AI Labelling roles is maintaining accuracy and consistency when labeling large volumes of data according to detailed guidelines, which can become repetitive or mentally taxing. Managing these challenges often involves taking regular breaks, double-checking work, and staying up-to-date with any updates to annotation standards provided by the team. Collaborating with supervisors and peers to clarify uncertainties and seek feedback also helps ensure high-quality output. Over time, professionals in this role often develop efficient workflows and a keen eye for detail, opening doors to advancement into quality assurance or project coordination positions within the data annotation field.

What is an AI Labelling job?

An AI labelling job involves annotating data—such as images, text, audio, or video—to help train machine learning models. This process includes tasks like tagging objects in images, transcribing speech, or categorizing text. The labelled data is crucial for AI systems to learn and make accurate predictions. These jobs are commonly found in industries like tech, healthcare, and autonomous driving. Attention to detail and consistency are key skills for this role.

What are the key skills and qualifications needed to thrive in the Ai Labelling position, and why are they important?

To thrive in an AI Labelling role, you need attention to detail, basic data analysis skills, and the ability to follow complex guidelines, with many roles requiring at least a high school diploma or equivalent. Familiarity with data annotation tools, image or text labeling platforms, and sometimes basic scripting or database systems is beneficial. Strong communication, time management, and the ability to work both independently and as part of a team are valuable soft skills. These competencies ensure the consistent and accurate labeling of data, which is critical for training high-quality AI and machine learning models.

What are popular job titles related to Ai Labelling jobs in Texas? For Ai Labelling jobs in Texas, the most frequently searched job titles are:
What cities in Texas are hiring for Ai Labelling jobs? Cities in Texas with the most Ai Labelling job openings:
Infographic showing various Ai Labelling job openings in Texas as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution.
Data Labeler

Data Labeler

Tesla

Austin, TX • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 679 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers


Job description

What to Expect

We are looking for a driven team member to contribute to the development of our Tesla AIsoftware at Tesla to build a world of amazing abundance. This person labels images & videos that contribute to our deep learning network. In this role you will work with in-house tools to label data coming directly from the fleet of vehicles and Optimus Data Collectors.

Nopreviousexperience in AI or data labelingrequired. The perfect candidate for this role is adaptable, can apply logic to multiple different scenarios, is attentive to detail, has experience with computers and other software, and enjoys a fast-paced work environment. This team provides all onsite training to help you be successful in this role.

This is a full-time, on-site position.

9:00AM - 5:30PM; Monday - Friday
2:00PM - 10:00PM; Monday - Friday
9:00AM - 5:30PM; Wednesday - Sunday

What You'll Do
  • Use in-house tools to label images for the Tesla AI team
  • Interact with team members to help us improve on the design of an efficient labeling interface
  • Gain basic computer vision and machine learning knowledge to better understand howthe labels are used by our learning algorithms
  • Make judgement calls on difficult edge cases that might come up during labeling

What You'll Bring
  • Must have working knowledge of the laws and rules of the road
  • Passionate and curious about technology
  • Able to work in a fast-paced environment, learn quickly and be able to prioritize assignments
  • Able to follow directions, detail-oriented, patient, and quality focused
  • Communicate clearly using excellent written and verbal skills
  • Must be reliable, have initiative, and professional while able to work independently and on a team
  • Proficient in Microsoft Office Suite

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

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