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Data Annotation Engineer Jobs in Texas (NOW HIRING)

TSMG

Robot Teleoperator (AI & Robotics)

Austin, TX · On-site

... data annotation and quality validation activities * Maintain accurate operational records and logs Continuous Improvement * Provide feedback on robot performance and usability * Assist engineering ...

AtOrchard LLC

Machine Learning Engineer

Austin, TX · On-site

Support integration of AI/ML outputs into broader scientific data analysis, annotation, and ocean ... Programming experience in Python or another modern programming language. * Experience working with ...

ClifyX

Python GenAI Model Evaluator

Austin, TX · On-site

... Python, data analysis, and model evaluation frameworks. • Familiarity with prompt engineering ... PyTorch, TensorFlow, HuggingFace, LangChain. • Evaluation/annotation tools: Scale AI, GroundTruth ...

HSSSoft

JAVA Developer

Dallas, TX

$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 ...

Forhyre

Prompt Engineers

Dallas, TX · On-site

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

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.

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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 Aug 22, 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 is a data annotation engineer?

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 the key skills and qualifications needed to thrive as a data annotation engineer?

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.

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 is the salary of data annotation engineer?

The salary of a data annotation engineer typically ranges from $40,000 to $80,000 annually, depending on experience, location, and the complexity of annotation tasks. Entry-level positions may start lower, while experienced professionals with specialized skills in tools like Labelbox or CVAT can earn higher salaries.

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 August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $137,383 per year, or $66 per hour.

Data Quality Analyst- Autonomous Vehicles

Avride

Austin, TX • On-site

Full-time

Posted 2 days ago

New

Job description

About the Role
Our autonomous vehicles encounter a wide variety of real-world situations on city streets. These situations need to be identified, categorized, and described in a structured way so they can be analyzed and used to evaluate the quality of our technology.
We are looking for a Data Quality Analyst who will help us validate and analyze real-world data related to the situations our autonomous vehicles encounter every day. In this role, you will work closely with production, develop quality metrics, and ensure consistent dataset quality across multiple annotation workflows.
You will be involved in the analysis and validation cycle: understanding test cases, working with collected data, validating its quality and completeness, analyzing results, identifying behavioral issues and coverage gaps, and determining where additional testing or investigation may be needed.
This is a data-focused role. You will work primarily with already collected data, test results, and driving scenarios, using analytical tools to understand vehicle behavior and support the testing and engineering teams.
This position is ideal for someone who is detail-oriented, comfortable working with complex datasets, and motivated to enhance data quality and annotation efficiency through analytical and technical approaches.
What You'll Do
Data Analytics
  • Analyze collected data across different road scenarios;
  • Analyze individual samples of data in detail to understand what happened and which factors may have affected situation;
  • Identify edge cases and scenarios that require additional investigation;
  • Monitor quality metrics on a regular basis and investigate anomalies;
  • Analyze dataset balance and completeness across locations, scenarios, and labels;
  • Assess how new scenes contribute not just more data, but better data.

Operational Routine & Controls
  • Regularly reviewing annotation batches (including repetitive checks) to make sure they meet quality and coverage expectations;
  • Maintain simple control dashboards and reports, update them on a weekly basis, and follow up on issues;
  • Take care of many small but important operational tasks that keep the annotation process stable and predictable.

Support & Automation
  • Use Python and ClickHouse for analysis, monitoring, and process support;
  • Work closely with product and engineering teams to implement improvements;
  • Automate data validation, test-result processing, coverage analysis, and repetitive investigation workflows.
What You'll Need
  • A degree in a relevant field (Computer Science, Quality assurance, Data Analytics, Engineering, or another technical discipline);
  • Strong analytical thinking and attention to detail - you'll frequently review data, spot anomalies, and work through repetitive validation tasks;
  • Practical Python skills for data processing and analysis (Pandas);
  • Ability to query databases and work with analytical data stacks;
  • Readiness to handle routine and sometimes monotonous work - dataset checks, manual validations, and weekly quality reviews are a core part of the role;
  • A process-oriented mindset: ability to follow existing workflows, maintain consistency, and keep documentation and reports up to date;
  • A valid driver's license and practical driving experience.
Nice to Have
  • Experience with ClickHouse
  • Experience with QA, testing, or validation workflows;
  • Strong systems thinking, attention to quality, and a proactive mindset.
  • Experience using semi-automated labeling tools or active learning methods.

#LS-MS1
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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