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

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Data Annotation Engineer information

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$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:

Data Annotation Engineer jobs near you
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.

Senior Product Manager, Perception and Navigation

Capital Factory

Austin, TX • On-site

$140 - $190/hr

Other

Re-posted yesterday

Key responsibilities

  • Own and maintain the perception and navigation software roadmap, including feature priorities and sequencing.

  • Drive the technical definition of the perception stack, including sensor data processing and scene understanding.

  • Define evaluation metrics, field-testing regimes, and requirements for perception data pipelines and safety validation.

Job description

Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond. We operate at the cutting edge of Applied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better.

JOB SUMMARY

You will focus on driving the product vision, ensuring seamless execution across the complex hardware/software divide, and translating market demands into user oriented, executable product roadmaps.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES
  • Own and maintain the perception and navigation software roadmap: scope, sequencing, and feature priorities across detection, tracking, localization, mapping, and obstacle avoidance.
  • Drive the technical definition of the perception stack, turning sensor inputs into the scene understanding and world state that the autonomy and model layers rely on.
  • Define evaluation metrics and field-testing regimes for perception and navigation: detection, tracking, localization, and mapping accuracy, latency budgets, and the success and regression criteria that gate releases.
  • Own the requirements for perception data pipelines including collection, labeling, and the feedback loop from field deployments.
  • Lead product requirements for safe perception: reason through failure modes, validation coverage, and autonomy risk.
  • Co-design within the compute envelope: account for edge deployment constraints, latency, and on-robot performance, partnering closely with the sensing and compute team.
  • Define and prioritize use cases based on business impact, feasibility, and customer needs.
  • Ensure that product development efforts align with real-world economic value for customers.
  • Synthesize insights from user research, customer meetings, usage data, and sales feedback into a strategy that delivers business objectives and customer benefits.
  • Work with industrial design, user experience, and engineering teams to conceptualize and implement interactive features.
  • Define product features/enhancements and communicate requirements to engineering teams via clearly written requirements documents, diagrams, and concise verbal communication.
  • Support product marketing initiatives, partner relationships, and other opportunities to accelerate the adoption of our products.
SKILLS AND REQUIREMENTS
  • 7+ years of experience in
  • Strong experience in perception and navigation fundamentals: detection, tracking, localization, mapping, and obstacle avoidance.
  • Demonstrated experience defining evaluation metrics, field-testing regimes, and performance tracking for autonomy or perception software.
  • Field deployment experience taking perception or autonomy software from the lab into reliable real-world operation.
  • Practical safety judgment around failure modes, validation coverage, and autonomy risks.
  • Excellent communication skills, both verbal and written, enabling translation of technical insights into business impact.
  • You make decisions in uncertainty, prioritizing velocity over perfection.
  • You prioritize user feedback, promoting and advocating for that voice to internal teams.
EDUCATION and/or EXPERIENCE At least 7 years of experience product management
  • Experience with autonomous robots or autonomous vehicles.
  • Experience with perception or autonomy evaluation frameworks and large-scale field-test data analysis.
  • Experience generating or using synthetic and simulation-generated data for perception.
  • Experience with data collection operations (teleoperation fleets, annotation and curation pipelines).
  • Experience working with customers in light and heavy duty industrial environments.
  • Experience with robotics and functional safety standards (ISO 10218, ISO/TS 15066, ISO 13482, RIA 15.08).
PHYSICAL REQUIREMENTS
  • [Prolonged periods of sitting at a desk and working on a computer
  • Must be able to lift 15 pounds at times
  • Vision to read printed materials and a computer screen
  • Hearing and speech to communicate]

Apptronik provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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