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Data Annotation Jobs in Texas (NOW HIRING)

Apple

Senior Manager - AI Data Operations

Austin, TX · On-site

Demonstrated experience leading large-scale annotation or data operations teams. Skilled at ... attracting new talent, as well as developing talent within the team and planning for succession.

Tesla

Data Labeler Manager

Dallas, TX · On-site

Work directly with engineers and Tesla AI leadership and own annotation policies that require an ... Commitment to data accuracy and throughput Compensation and Benefits Benefits Along with ...

Trellix

Data Scientist

Enterprise, TX · On-site

Familiarity with annotation workflows and data quality frameworks * AI/LLM Evaluation: * Hands-on experience evaluating Large Language Models (LLMs) * Familiarity with evaluation frameworks such as ...

Allen Control Systems

Platform Engineer, Data

Austin, TX · On-site

$113K - $136K/yr

Develop and use data quality tooling: metrics for balance, drift, and annotation error; active-learning sampling to target gaps; feedback loops from production back to curation. * Implement and own ...

Allen Control Systems

Platform Engineer, Data

Austin, TX · On-site

$113K - $136K/yr

Develop and use data quality tooling: metrics for balance, drift, and annotation error; active-learning sampling to target gaps; feedback loops from production back to curation. * Implement and own ...

Allen Control Systems

Platform Engineer, Data

Austin, TX · On-site

$113K - $136K/yr

Develop and use data quality tooling: metrics for balance, drift, and annotation error; active-learning sampling to target gaps; feedback loops from production back to curation. * Implement and own ...

Allen Control Systems

Platform Engineer, Data

Austin, TX · On-site

$113K - $136K/yr

Develop and use data quality tooling: metrics for balance, drift, and annotation error; active-learning sampling to target gaps; feedback loops from production back to curation. * Implement and own ...

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How much do data annotation jobs pay per hour?

As of Jul 1, 2026, the average hourly pay for data annotation in Texas is $22.19, according to ZipRecruiter salary data. Most workers in this role earn between $15.01 and $26.43 per hour, depending on experience, location, and employer.

What does a typical workday look like for someone in a Data Annotation role?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

Is data annotation a genuine job?

Data annotation is a legitimate job that involves labeling data such as images, text, or audio to help train machine learning models. It often requires attention to detail and familiarity with annotation tools, and can be found in various industries like technology and healthcare.

Does data annotation pay well?

Data annotation jobs typically offer entry-level pay that varies depending on the employer, location, and complexity of the tasks. While some positions pay hourly wages comparable to other administrative or clerical roles, experienced annotators working on specialized projects or with advanced tools can earn higher rates. Overall, data annotation is often considered an entry-level position with moderate pay potential.

What is a Data Annotation job?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

How hard is it to get hired by data annotation?

Getting hired for a data annotation role generally requires basic computer skills, attention to detail, and sometimes familiarity with specific tools or platforms. Many positions are entry-level and do not require advanced education, making the hiring process relatively accessible, though competition can vary based on the employer and location.

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

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

What does a data annotator do?

A data annotator labels and tags data such as images, text, or videos to help machine learning models understand and learn from the data. They use tools and follow guidelines to ensure accuracy and consistency, often working with large datasets in a structured environment. Attention to detail and knowledge of annotation tools are important for this role.
What are the most commonly searched types of Data Annotation jobs in Texas? The most popular types of Data Annotation jobs in Texas are:
What are popular job titles related to Data Annotation jobs in Texas? For Data Annotation jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Annotation jobs in Texas look for? The top searched job categories for Data Annotation jobs in Texas are:
What cities in Texas are hiring for Data Annotation jobs? Cities in Texas with the most Data Annotation job openings:
Data Annotation jobs near you
Infographic showing various Data Annotation job openings in Texas as of June 2026, with employment types broken down into 40% Full Time, 20% Part Time, and 40% Contract. Highlights an 40% In-person, and 60% Remote job distribution, with an average salary of $46,160 per year, or $22.2 per hour.
Lead Simulation Engineer (Digital Twin)

Lead Simulation Engineer (Digital Twin)

Caterpillar

Irving, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Caterpillar Inc. rating

7.5

Company rating: 7.5 out of 10

Based on 462 frontline employees who took The Breakroom Quiz

223rd of 421 rated machine equipment manufacturers

Job description

Career Area:
Technology, Digital and Data
Job Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
Job Summary:
The Simulation & Digital Twin Engineer will design, develop, and integrate simulation and visualization capabilities that support Caterpillar's next-generation digital twin, machine behavior modeling, and interactive 3D experiences. This role combines simulation engineering, real-time visualization, and 3D scene-building using NVIDIA Omniverse and modern C++/Python toolchains. The engineer will build the behavioral logic, physics integrations, and visualization layers that enable accurate, high-performance representations of Caterpillar machines, job sites, and workflows. This is a hands-on role which will plan, architect and also lead and mentor.
What You Will Do:
  • Simulation/Digital Twin Development: Develop and deploy the simulation logic and behavioral models governing machine and system behavior. Implement real-time simulation algorithms, including kinematics, dynamics, and control-system interactions. This includes integration of physics engines (e.g., PhysX, Omniverse Physics, or equivalent) to support realistic behavior and machine-environment interactions.
  • Simulation Quality: Develop and execute model validation and verification plans, ensuring digital twins are accurate and numerically stable.
  • Real-Time 3D Visualization Engineering: Create high-fidelity 3D models, scenes, and environments such as NVIDIA Omniverse. Develop interfaces that connect simulations to real-time visualization, dashboards, and operator-focused experiences. Implement automated test pipelines and document model correlations, limitations, and validation scoring.
  • Integration & Platform Engineering: Contribute to toolchain and pipeline design, including scripting utilities, automated test frameworks, and modular code libraries. Collaborate across data engineering/architecture, autonomy, product groups, and engineering to ensure interoperability and alignment with business needs.
  • Digital Twin Tooling & Ecosystem Support: Evaluate and implement new simulation libraries and real-time rendering technologies that enhance simulation fidelity and performance. Work hands-on with multiple digital-twin platforms, such as: NVIDIA Omniverse (primary environment), CARLA, Siemens NX/Teamcenter/Plant Simulation, Dassault 3DEXPERIENCE, Ansys Twin Builder, Unity or similar

What You Will Have:
  • Software/Simulation Product Design/Architecture: Knowledge of simulation and robotics product design; ability to convert market requirements into the product design.
  • Simulation Software Product Technical Knowledge: Knowledge of technical aspects of simulation products; ability to design, configure and integrate technical aspects of these products.
  • Product Testing: Ability to design, plan, and execute model validation and testing strategies and tactics to ensure product quality and adherence to stated requirements. Implement automated test pipelines and document model correlations, limitations, and validation scoring.

Top Candidates Will Have:
  • Bachelor's degree in Computer Science, Software Engineering, Mechanical Engineering, Robotics, or a related field or equivalent experience.
  • 5+ years of experience developing digital twins or simulation-based systems in industries such as technology, aerospace, defense, heavy machinery, or automotive, with exposure to high-fidelity modeling, physics-based simulation, and real-time visualization.
  • Strong expertise in system-level simulation and digital twin technologies. This includes but is not limited to multi-physics modeling, data driven/statistic simulations, discrete-events simulation and machine learning based simulation.
  • Expertise in data annotation and labelling technologies with ability to institute and maintain the program.
  • Experience with NVIDIA Omniverse, including USD workflows, Omniverse Kit/Code, PhysX, or Omniverse-based pipeline development.
  • Knowledge of other digital-twin and real-time simulation tools, such as Unity, Unreal Engine, Siemens NX/Teamcenter/Plant Simulation, Dassault 3DEXPERIENCE, Ansys Twin Builder, Rockwell Emulate3D, or similar industrial platforms.
  • Familiarity with physics engines (PhysX, Omniverse Physics, Bullet, ODE, or equivalent) and experience integrating them into simulation environments.
  • Strong hands-on programming skills in C++ and Python for simulation logic, behavior modeling, and tooling.
  • Experience validating simulation models and digital twins using test data correlation, scenario-based testing, regression testing, and telematics/real-world data.
  • Ability to work cross-functionally with engineering, autonomy, controls, software, and product teams, communicating complex technical concepts clearly.
  • Experience modeling mechanical systems, hydraulics, heavy equipment, or robotics.
  • Knowledge of 3D scene construction, rendering concepts, and UI development for real-time visualization.
  • Experience with cloud-based simulation workflows, large-scale data integration, or distributed simulation pipelines.

Additional Details:
  • This position requires the candidate to work full-time at the Irving, TX office (Dallas)
  • Domestic relocation assistance is available for this position.
  • Visa sponsorship is not available with this position.

#LI
Summary Pay Range:
$128,470.00 - $208,770.00
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
Benefits:
Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.
  • Medical, dental, and vision benefits*
  • Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
  • 401(k) savings plans*
  • Health Savings Account (HSA)*
  • Flexible Spending Accounts (FSAs)*
  • Health Lifestyle Programs*
  • Employee Assistance Program*
  • Voluntary Benefits and Employee Discounts*
  • Career Development*
  • Incentive bonus*
  • Disability benefits
  • Life Insurance
  • Parental leave
  • Adoption benefits
  • Tuition Reimbursement

* These benefits also apply to part-time employees
This position requires working onsite five days a week.
Relocation is available for this position.
Visa Sponsorship is not available for this position.
Posting Dates:
Any offer of employment is conditioned upon the successful completion of a drug screen.
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.
Not ready to apply? Join our Talent Community.

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