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

Allen Control Systems

Platform Engineer, Data

Austin, TX · On-site

$113K - $136K/yr

  • Medical

  • Dental

  • Vision

  • PTO

With an engineering-first culture, ACS values technical excellence and continuous learning. Backed ... Develop and use data quality tooling: metrics for balance, drift, and annotation error; active ...

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

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Driver AI Inc.

Applied Data Scientist, LLM Evaluation

Austin, TX · On-site +1

$175K - $275K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Applied Data Scientist, LLM Evaluation Introduction At Driver, we're building systems that turn ... developer tools, or technical documentation. * Experience building or managing annotation pipelines ...

Sustainment

QA Engineer - Gen AI

Austin, TX

This role will focus on data quality, model evaluation, and regression testing frameworks to ... team on annotation guidelines). * Evaluate structured extraction from real business documents ...

Sustainment

QA Engineer - Gen AI

Austin, TX · On-site

This role will focus on data quality, model evaluation, and regression testing frameworks to ... team on annotation guidelines). * Evaluate structured extraction from real business documents ...

Sustainment

QA Engineer - Gen AI

Austin, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This role will focus on data quality, model evaluation, and regression testing frameworks to ... team on annotation guidelines). * Evaluate structured extraction from real business documents ...

HumanSignal

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 ...

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Showing results 21-40

All JobsData Annotation Engineer JobsData Annotation Engineer Jobs in Austin, TX

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 Aug 15, 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 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 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 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 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 53% Full Time, and 47% Contract. Highlights an 77% In-person, and 23% Remote job distribution, with an average salary of $146,165 per year, or $70.3 per hour.

Platform Engineer, Data

Allen Control Systems

Austin, TX • On-site

$113K - $136K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 3 hours ago

Job description

Allen Control Systems (ACS) is a cutting-edge defense startup founded by two former Navy electrical engineers with a proven track record in robotics and software. We are developing an autonomous gun turret using advanced computer vision and control systems to precisely detect, track, and neutralize enemy drones.

With an engineering-first culture, ACS values technical excellence and continuous learning. Backed by our founders' successful exits from two previous ventures acquired for a combined $180M in 2022, we are committed to ensuring that the groundbreaking technologies we develop have a real-world impact. 

Position Overview:  

We are seeking a Data Platform Engineer who combines expert-level data infrastructure skills with a strong knowledge of AI & Machine Learning principles. In this role, you will go beyond simple data validation scripts; you will apply your understanding of model training dynamics to design and implement existing and novel approaches to optimize our datasets. 

You will build and maintain large-scale image and video pipelines, but with a focus on data curation strategies—such as coreset selection, embedding-based filtering, and automated complexity scoring. You’ll partner closely with our ML engineers to orchestrate ingestion, synthetic data generation, and versioned releases, ensuring that every dataset is not only high-integrity and available but strictly optimized to maximize model performance. 

What You’ll Do: 

  • Design and develop a scalable data infastructure, focusing on organization and curation to support continuing increases in data volume and complexity

  • Design and implement existing and novel approaches to optimize datasets for model training (e.g., hard example mining, class balancing, de-duplication, embedded-based filtering).

  • Support the data infrastructure required for optimal ingestion, transformation, and storing of datasets

  • Develop and use synthetic data generation workflows to create realistic synthetic training data for computer vision models.

  • Design and own end-to-end image and video pipelines for computer vision model training: multi-source ingestion, QA and visualization, standardization, and organization.

  • Coordinate collection of real-world data; coordinate label creation and QA with labelers.

  • Develop and use data quality tooling: metrics for balance, drift, and annotation error; active-learning sampling to target gaps; feedback loops from production back to curation. 

  • Implement and own dataset versioning, release management, and lineage and metadata cataloging.

What You’ll Need: 

  • 3+ years of experience in data engineering or equivalent fields. 

  • Solid understanding of data structures and systems design for orchestrating data-related workflows in a rapidly growing environment.

  • Proficient in using AWS for data management and processing.

  • Proficient in Python for scripting and data processing; proficient with SQL and Linux.

  • Educational Background: Bachelor’s or Master’s degree in Computer Science or a related field.

  • Proven ability to communicate well across engineering teams, and write and maintain effective documentation. 

You’ll Stand Out: 

  • 5+ years of industry experience.

  • Experience in image/video data engineering for computer vision projects.

  • Experience with PyTorch DeepCore.

  • Experience with Unreal Engine. 

What We Offer: 

  • Competitive salary

  • ACS Equity Package

  • Health, Dental, Vision Insurance

  • Paid Time Off 

Allen Control Systems is an Equal Opportunity Employer, providing equal employment opportunities to all employees and applicants for employment. Allen Control Systems 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.