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Data Annotation Manager Jobs in Dallas, TX (NOW HIRING)

The Data Labeler Manager will lead a team of Data Labelers that labels in 3D image data for neural ... Work directly with engineers and Tesla AI leadership and own annotation policies that require an ...

Senior Manager, Data Architecture

Irving, TX · On-site

$64.50 - $86.50/hr

The Senior Manager, Data Architecture leads the organization responsible for building the data ... governance, annotation, and availability for model training, fine-tuning, simulation, and ...

Delivery Lead

Dallas, TX · Remote

$110K - $140K/yr

Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage ...

High Volume (TOFU) Recruiter

Dallas, TX · On-site +1

$55K - $100K/yr

Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage ...

Production Manager

Dallas, TX · On-site

$80K - $110K/hr

Production Manager -Please apply on our company website - details?__tx_annotation=false ... Collect and analyze data to find areas of waste or overtime and implement an improvement process.

Patient Access Representative

Fort Worth, TX · On-site

$16.50 - $21/hr

Maintain accurate accounts, i.e. required signatures, proper account annotation, current ... Manage revenue cycle, production logs, balances and collections for self-pay clients. * Maintain ...

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Data Annotation Manager information

See Dallas, TX salary details

$30.7K

$96.1K

$170.2K

How much do data annotation manager jobs pay per year?

As of Jul 5, 2026, the average yearly pay for data annotation manager in Dallas, TX is $96,140.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,300.00 and $124,200.00 per year, depending on experience, location, and employer.

What is the salary of data annotation manager?

The salary of a data annotation manager typically ranges from $60,000 to $120,000 annually, depending on experience, location, and company size. Senior roles or those in high-cost areas may offer higher compensation, and familiarity with annotation tools and team management can influence pay levels.

How much do data annotation project managers make?

Data annotation project managers typically earn between $60,000 and $100,000 annually, depending on experience, location, and company size. They oversee annotation teams, coordinate workflows, and ensure quality standards are met, often requiring familiarity with annotation tools and project management skills.

What are some common challenges faced by Data Annotation Managers, and how can they be addressed?

Data Annotation Managers often encounter challenges such as maintaining high annotation quality across large and diverse datasets, managing a distributed team of annotators, and meeting tight project deadlines. To address these, it's important to implement robust quality assurance processes, provide ongoing training for annotators, and establish clear communication channels. Leveraging annotation tools with built-in validation features can also help ensure consistency and accuracy. Building a positive and collaborative team environment further contributes to better outcomes and workflow efficiency.

What does a Data Annotation Manager do?

A Data Annotation Manager oversees the process of labeling and categorizing data used to train machine learning models. They manage teams of annotators, ensure data quality, develop annotation guidelines, and coordinate with data scientists to meet project requirements. Their role is critical in maintaining high standards of accuracy and efficiency, as well as ensuring that datasets are properly prepared for AI and machine learning applications.

Does data annotation actually pay well?

Data annotation managers typically earn competitive salaries that reflect their experience and responsibilities, often ranging from entry-level to senior roles. Compensation can vary based on industry, location, and company size, with specialized skills in tools like labeling platforms and quality control often leading to higher pay.

What are the key skills and qualifications needed to thrive as a Data Annotation Manager, and why are they important?

To thrive as a Data Annotation Manager, you need expertise in data labeling processes, quality control, and a solid understanding of machine learning concepts, usually backed by a degree in computer science or a related field. Proficiency with annotation tools such as Labelbox, Supervisely, or CVAT, as well as experience with project management systems, is commonly required. Exceptional leadership, attention to detail, and strong communication skills help manage teams and ensure high annotation accuracy. These skills are critical for delivering reliable labeled datasets, which are essential for building effective AI and machine learning models.

How hard is it to get hired by data annotation?

Getting hired as a data annotation manager typically requires relevant experience in data labeling, familiarity with annotation tools, and strong organizational skills. The hiring process often involves reviewing previous work, technical assessments, and demonstrating attention to detail, with opportunities available in companies that outsource data labeling tasks.

What is the difference between Data Annotation Manager vs Data Labeling Specialist?

AspectData Annotation ManagerData Labeling Specialist
CredentialsBachelor's degree in related field, experience in data managementHigh school diploma or equivalent, training in labeling tools
Work EnvironmentTeam management, project oversight, collaboration with data scientistsHands-on labeling work, using annotation tools, focused on data tagging
Industry UsageUsed in AI/ML projects for overseeing annotation teamsPerforms the actual data labeling tasks in machine learning workflows

The Data Annotation Manager oversees the entire annotation process, managing teams and ensuring quality, while the Data Labeling Specialist focuses on executing labeling tasks. Both roles are essential in AI/ML data preparation but differ in responsibilities and scope.

What are the most commonly searched types of Data Annotation jobs in Dallas, TX? The most popular types of Data Annotation jobs in Dallas, TX are:
What job categories do people searching Data Annotation Manager jobs in Dallas, TX look for? The top searched job categories for Data Annotation Manager jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Data Annotation Manager jobs? Cities near Dallas, TX with the most Data Annotation Manager job openings:
Infographic showing various Data Annotation Manager job openings in Dallas, TX as of June 2026, with employment types broken down into 3% As Needed, 56% Full Time, 38% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $96,140 per year, or $46.2 per hour.
Data Labeler Manager

Data Labeler Manager

Tesla

Dallas, TX • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 669 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers


Job description

What to Expect

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

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