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Data Annotation Jobs in Pflugerville, TX (NOW HIRING)

TSMG

Robot Teleoperator (AI & Robotics)

Austin, TX · On-site

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

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Data Annotation information

What is a data annotation?

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.

What does a data annotation do?

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.

What are the key skills and qualifications needed to thrive in data annotation?

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.

How much money can I make doing data annotation?

Data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the task and the employer. Experienced annotators or those working on specialized projects may earn higher rates, especially if they have skills in specific tools or domains. Earnings can vary based on whether the work is freelance, part-time, or full-time, and some platforms offer bonuses for accuracy or speed.

What are the most commonly searched types of Data Annotation jobs in Pflugerville, TX?

The most popular types of Data Annotation jobs in Pflugerville, TX are:

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Data Annotation jobs near you
Infographic showing various Data Annotation job openings in Pflugerville, TX as of August 2026, with employment types broken down into 62% Full Time, 24% Part Time, and 14% Contract. Highlights an 69% In-person, and 31% Remote job distribution.

Data Quality Analyst- Autonomous Vehicles

Austin, TX • On-site

Avride
See more jobs at Avrideexternal

Full-time

Posted 19 days ago

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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