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Data Annotation Engineer Jobs in Texas (NOW HIRING)

Avride

Software Research Engineer (ML)

Austin, TX · On-site +1

$203K/yr

Exposure to 3D data (point clouds, sensor fusion, 3D annotation pipelines) * Background in AV ... Backend engineering experience (APIs, ORMs, databases) * Experience building dashboards or ...

Hired Recruiters

As a full stack software engineer at the company, you'll work on various user-facing applications and tools for data management, annotation, and mapping. You will: * Work closely with design and ...

HSS SOFT

JAVA Developer

Dallas, TX

$50.75 - $65.50/hr

Java Developer Position: Java Developer Location: Texas Job Type: Full Time Job Opportunity ... annotation based as well as XML based config). * Hibernate 4 with Spring Data JPA * J2EE ...

Apple

Senior Manager - AI Data Operations

Austin, TX · On-site

... annotation programs that balance accuracy and speed while maintaining quality standards. You will partner closely with Engineering, Data Science, and Programs to translate evolving system ...

HSSSoft

JAVA Developer

Dallas, TX · On-site

$50.50 - $65.25/hr

JAVA Developer Location: Texas Job Type: Full Time Job Opportunity Required Skills: - Spring ... annotation based as well as XML based config). - Hibernate 4 with Spring Data JPA - J2EE ...

Tesla

Data Labeler Manager

Dallas, TX · On-site

... 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 ...

Caterpillar

Senior Manager, Data Architecture

Irving, TX · On-site

$64.50 - $86.50/hr

... annotation, and availability for model training, fine-tuning, simulation, and deployment ... Working closely with perception, robotics, simulation, AI Factory, and engineering teams, this ...

Forhyre

Prompt Engineers

Plano, TX

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Solid knowledge of data collection, preprocessing, and annotation for prompt development.

Forhyre

Prompt Engineers

Dallas, TX

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Solid knowledge of data collection, preprocessing, and annotation for prompt development.

Newt Global

Java Springboot Developer

Dallas, TX

$50.75 - $65.50/hr

... IOC, Spring Annotation, Spring Security. Should have good experience in using AI Coding tools ... Profound understanding of data structures, algorithms, and software design patterns. Extensive ...

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All JobsData Annotation Engineer JobsData Annotation Engineer Jobs in Texas

Data Annotation Engineer information

See Texas salary details

$48K

$137.4K

$183.5K

How much do data annotation engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for data annotation engineer in Texas is $137,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,300.00 and $182,600.00 per year, depending on experience, location, and employer.

What are the main challenges faced by Data Annotation Engineers in their daily work?

One of the main challenges Data Annotation Engineers face is ensuring consistent accuracy and quality in labeling large and often complex datasets. Attention to detail is critical, as even small errors can significantly affect machine learning model performance. Additionally, engineers must frequently adapt to evolving annotation guidelines and emerging data types, which requires ongoing learning and flexibility. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities, making strong communication skills essential for success.

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

To thrive as a Data Annotation Engineer, you need a strong background in data analysis, attention to detail, and familiarity with annotation processes, often supported by a degree in computer science or a related field. Proficiency with annotation tools like Labelbox, CVAT, or VIA, and understanding of data formats used in machine learning, is commonly required. Excellent communication, collaboration, and organizational skills help you effectively manage projects and cooperate with cross-functional teams. These abilities are crucial for delivering high-quality labeled data, which directly impacts the performance of AI and machine learning models.

Is data annotation real or fake?

Data annotation is a real and essential process in machine learning where human annotators label data such as images, text, or audio to train AI models. Data annotation engineers perform this work using specialized tools and quality standards to ensure accurate and reliable datasets.

What is a data annotation engineer?

A data annotation engineer is a professional responsible for labeling and annotating data, such as images, text, or videos, to train machine learning models. They often use specialized tools and follow guidelines to ensure data quality and accuracy, supporting AI development and data-driven applications.

How hard is it to get a job with data annotation tech?

Getting a job as a Data Annotation Engineer typically requires basic computer skills, attention to detail, and familiarity with annotation tools or platforms. Entry-level positions are often accessible with minimal formal education, but having knowledge of machine learning concepts or experience with data labeling can improve job prospects.

Does data annotation really pay you?

Data annotation engineers are typically paid for their work, often earning hourly wages or project-based fees depending on the employer or platform. Compensation varies based on experience, skill level, and the complexity of annotation tasks, which may involve using tools like labeling software or AI platforms.

What is a Data Annotation Engineer job?

A Data Annotation Engineer is responsible for labeling and annotating data—such as text, images, audio, or video—to train machine learning models. They ensure that data is accurately categorized and structured to improve model performance. This role often involves using specialized annotation tools, following detailed guidelines, and working closely with data scientists and AI teams. Data Annotation Engineers play a crucial role in the development of AI applications by providing high-quality labeled datasets for supervised learning.

What are popular job titles related to Data Annotation Engineer jobs in Texas? For Data Annotation Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Annotation Engineer jobs in Texas look for? The top searched job categories for Data Annotation Engineer jobs in Texas are:
What cities in Texas are hiring for Data Annotation Engineer jobs? Cities in Texas with the most Data Annotation Engineer job openings:
Data Annotation Engineer jobs near you
Infographic showing various Data Annotation Engineer job openings in Texas as of June 2026, with employment types broken down into 68% Full Time, 8% Part Time, and 24% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $137,383 per year, or $66 per hour.

Software Research Engineer (ML)

Avride

Austin, TX • On-site, Remote

$203K/yr

Other

Posted 13 days ago

Job description

About team
Avride is at the forefront of autonomous mobility, developing and deploying state-of-the-art self-driving cars and delivery robots. We're shaping the future of transportation and logistics-and our Labeling Team plays a vital role in bringing that vision to life.
The Labeling Backend Team builds the data infrastructure that powers groundbreaking research and development across our labeling pipelines, data preparation workflows, and model training processes. The high-quality labeled data we deliver is critical to advancing our core technologies and supports the diverse range of models that drive our entire business.
About the Role
We are looking for a Research Engineer to improve the quality and representativeness of datasets powering our self-driving systems. You will design algorithms and tools for auto-labeling, data mining and dataset monitoring, combining strong Python engineering with applied ML concepts. Your work will directly enhance data efficiency, reduce labeling costs, and improve model performance.
What You'll Do
  • Design and implement algorithms that optimize annotation, including auto-labeling systems that reduce manual effort and increase throughput
  • Build data-mining and active-learning pipelines to surface the highest-value samples for training
  • Create dataset-quality monitoring systems identifying noise, redundancy, and low-value data
  • Develop analytics platforms (databases, dashboards, reporting) to track dataset quality and coverage over time
  • Collaborate with ML and Perception teams to integrate research results into production workflows
  • Explore emerging approaches (vision-language models, weak supervision, uncertainty estimation) to expand dataset quality and automation
What You'll Need
  • Bachelor's or Master's degree in Computer Science or related field
  • Strong Python skills for algorithm development and prototyping
  • Solid understanding of ML concepts (metrics, evaluation, dataset sampling, etc.)
  • Experience with data processing and analysis at scale
  • Ability to move between research prototyping and production engineering
  • Strong analytical mindset and curiosity to dig deep into data quality problems
Nice to Have
  • Experience with auto-labeling, weak supervision, or human-in-the-loop ML
  • Exposure to 3D data (point clouds, sensor fusion, 3D annotation pipelines)
  • Background in AV, robotics, or large-scale ML dataset development
  • Experience with foundation models / VLMs
  • Workflow orchestration systems (Argo, Airflow, etc.)
  • Backend engineering experience (APIs, ORMs, databases)
  • Experience building dashboards or analytics systems (Grafana, Superset, etc.)

Candidates are required to be authorized to work in the U.S. The employer is not offering relocation sponsorship, and remote work options are not available.
Avride is an equal opportunity employer and committed to providing reasonable accommodations to qualified applicants and employees with disabilities to ensure they have equal access to employment opportunities. Avride complies with the Americans with Disabilities Act (ADA), if you need a reasonable accommodation to assist with the application or hiring process, or to perform the essential functions of a job, please email jobs@avride.ai.

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