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Data Annotation Engineer Jobs in Austin, TX (NOW HIRING)

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 ...

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

Delivery Lead

Austin, TX · Remote

$110K - $140K/yr

... data creation to annotation to delivery. We design and create datasets from scratch, recruit and ... Partner with Product and Engineering to evolve internal tooling, automation, and operational ...

Showing results 21-40

Data Annotation Engineer information

See Austin, TX salary details

$51K

$146.2K

$195.3K

How much do data annotation engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data annotation engineer in Austin, TX is $146,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,300.00 and $194,300.00 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 Austin, TX?

For Data Annotation Engineer jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Data Annotation Engineer jobs in Austin, TX look for?

The top searched job categories for Data Annotation Engineer jobs in Austin, TX are:

What cities near Austin, TX are hiring for Data Annotation Engineer jobs?

Cities near Austin, TX with the most Data Annotation Engineer job openings:

Infographic showing various Data Annotation Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $146,165 per year, or $70.3 per hour.

Vehicle Operations Specialist

Wealth Recruitment, LLC

Austin, TX • Remote

$24 - $25/hr

Contractor

Re-posted 15 hours ago


Job description

If you thrive in fast-paced environments, enjoy solving problems under pressure, and have a passion for emerging technology, this is an opportunity to make a direct impact on the future of transportation.

What You'll Do

As part of our Remote Assistance team, you will:

  • Monitor assigned autonomous vehicles using the Remote Command (RC) interface and multiple live camera feeds.
  • Assess dynamic driving situations and provide remote assistance when appropriate using system tools.
  • Document interventions, operational events, and observations in real time using Notion, Google Sheets, and other operational platforms.
  • Perform post-trip reviews to identify anomalies and improvement opportunities.
  • Participate in Root Cause Analysis (RCA) sessions to investigate incidents and contribute to our growing edge-case knowledge base.
  • Track operational performance metrics and support continuous process improvement.
  • Deliver detailed shift handoffs to ensure seamless 24/7 fleet operations.
  • Collaborate closely with engineering and operations teams to improve fleet safety, efficiency, and reliability.

Requirements

What We're Looking For

We're looking for someone who enjoys making quick, informed decisions while maintaining exceptional attention to detail.

Required Qualifications
  • 1+ year of experience in a live operations environment such as:
    • Autonomous vehicle fleet operations
    • Teleoperations
    • Dispatch
    • Systems monitoring
    • Security operations
    • Network Operations Center (NOC)
    • Similar real-time operational roles
  • Experience troubleshooting technical issues and documenting escalations.
  • Comfortable monitoring multiple live video feeds and system dashboards simultaneously.
  • Experience using Jira, YouTrack, or similar ticketing systems.
  • Basic understanding of U.S. traffic laws and right-of-way rules.
  • Clean driving record.
  • Strong written communication, organization, and documentation skills.
  • Ability to remain calm and make sound decisions in high-pressure situations.
Preferred Qualifications

Experience in one or more of the following is highly valued:

  • Remote Assistance (RA) or TeleOps operations
  • Autonomous vehicles or robotics
  • Transportation technology
  • AV data annotation, triage, or AI training workflows
  • Robotics, automotive/EV systems, avionics, IT/network operations, or military UAV operations
  • Participating in Root Cause Analysis (RCA) or incident post-mortem reviews
Ideal Candidate

You'll stand out if you:

  • Have previous experience as a Remote Assistance or TeleOps Operator (Tesla, Cruise, or similar autonomous vehicle companies).
  • Have a background in competitive or PC gaming, where quick decision-making, situational awareness, and multitasking are second nature.
  • Enjoy analyzing complex situations and solving problems in real time.
  • Are naturally detail-oriented and excel at documenting your work.
  • Are curious about autonomous vehicle technology and excited to learn new systems.
  • Can confidently prioritize safety while working independently in a fast-paced operational environment.

Benefits

Why You'll Love This Role
  • Be at the forefront of autonomous vehicle technology.
  • Make real-time decisions that directly contribute to fleet safety.
  • Work alongside engineers and operations experts solving cutting-edge challenges.
  • Gain experience with advanced robotics, AI, and autonomous systems.
  • Join a team that values continuous learning, collaboration, and operational excellence.
  • Pay Rate: $24 - $25 per hour
  • 1st shift- 6am - 2pm
  • 2nd shift- 2:30pm - 11pm