Top 5 Labeler Jobs in Austin, Tx

Data Labeler
Tesla —Austin, TX
- Full-time
- No experience needed
- In-person
- Entry level
- Commuter assistance
- Health savings account
Data Labeler Manager
Tesla —Austin, TX
- Full-time
- Mid-level
- Leadership
- Communication skills
- Commuter assistance
- Health savings account
Canning Line Associate
Wild Leaf Holdings U.S. LLC —Austin, TX
- $19 - $21 an hour
- Full-time
- Forklift
- High school diploma or GED
- Entry level
- Health insurance
- 401(k)
Quick Apply
Platform Engineer, Data
Allen Control Systems —Austin, TX
- Computer Science
- System design
- 3 years
- Health insurance
- Dental insurance

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Data Labeler

Tesla -
Austin, TX

Apply Now

Job Details

Full-time

Benefits

Commuter assistance
Health savings account
AD&D insurance
Paid holidays
Disability insurance
Health insurance
Dental insurance
Flexible spending account
Flextime
Adoption assistance
Employee assistance program
401(k) matching
Employee discount
Benefits from day one
Pet insurance

Qualifications

Computer operation
Productivity software
Traffic laws

Full Job Description

What to Expect

We are looking for a driven team member to contribute to the development of our Tesla AI software 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.

No previous experience in AI or data labeling required. 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 how the 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

Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.

Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.

Apply Now

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labeler jobs in austin, tx

Data Labeler

Data Labeler Manager

Canning Line Associate

Platform Engineer, Data

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