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

Platform Engineer, Data

Austin, TX

$113K - $136K/yr

Data Platform Engineer Austin, TX Allen Control Systems (ACS) is a cutting-edge defense startup ... Develop and use data quality tooling: metrics for balance, drift, and annotation error; active ...

Platform Engineer, Data

Austin, TX · On-site

$113K - $136K/yr

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 ...

Platform Engineer, Data

Austin, TX

$113K - $136K/yr

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 ...

Platform Engineer, Data

Austin, TX · On-site

$113K - $136K/yr

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 ...

Platform Engineer, Data

Austin, TX · On-site

$113K - $136K/yr

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 ...

Software Research Engineer (ML)

Austin, TX · On-site

$203K/yr

... data monitoring. Responsibilities : • Design and implement algorithms that optimize annotation ... Avride is a developer and operator of autonomous vehicles and delivery robots. Founded in 2017, the ...

Exposure to 3D data (point clouds, sensor fusion, 3D annotation pipelines) * Background in AV ... Backend engineering experience (APIs, ORMs, databases) * Experience building dashboards or ...

Risk Analyst III

Austin, TX · On-site

$50.25/hr

... behaviors Data Annotation & Reporting Document vulnerabilities and testing outcomes with clear ... engineers, and domain experts to improve system performance Contribute to the development of ...

Software Research Engineer (ML)

Austin, TX · On-site +1

$203K/yr

Exposure to 3D data (point clouds, sensor fusion, 3D annotation pipelines) * Background in AV ... Backend engineering experience (APIs, ORMs, databases) * Experience building dashboards or ...

Software Research Engineer (ML)

Austin, TX · On-site

$203K/yr

Exposure to 3D data (point clouds, sensor fusion, 3D annotation pipelines) * Background in AV ... Backend engineering experience (APIs, ORMs, databases) * Experience building dashboards or ...

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 ...

... programming languages. * Understanding of AI safety concepts including RLHF, alignment, model evaluation frameworks, and responsible AI practices. * Experience working with data annotation, labeling ...

Risk Analyst III (6197)

Austin, TX · On-site

$25 - $26.28/hr

... programming languages. * Understanding of AI safety concepts including RLHF, alignment methodologies, and model evaluation frameworks. * Experience with data annotation workflows, vulnerability ...

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Showing results 1-20

Data Annotation Engineer information

See Austin, TX salary details

$51K

$146.1K

$195.2K

How much do data annotation engineer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for data annotation engineer in Austin, TX is $146,130.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,200.00 and $194,200.00 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 in the Data Annotation Engineer position, and why are they important?

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.

Is data annotation real or fake?

Data annotation is a real and essential process in machine learning where human annotators label data such as images, text, or audio to train AI models. Data annotation engineers perform this work using specialized tools and quality standards to ensure accurate and reliable datasets.

What is a data annotation engineer?

A data annotation engineer is a professional responsible for labeling and annotating data, such as images, text, or videos, to train machine learning models. They often use specialized tools and follow guidelines to ensure data quality and accuracy, supporting AI development and data-driven applications.

How hard is it to get a job with data annotation tech?

Getting a job as a Data Annotation Engineer typically requires basic computer skills, attention to detail, and familiarity with annotation tools or platforms. Entry-level positions are often accessible with minimal formal education, but having knowledge of machine learning concepts or experience with data labeling can improve job prospects.

Does data annotation really pay you?

Data annotation engineers are typically paid for their work, often earning hourly wages or project-based fees depending on the employer or platform. Compensation varies based on experience, skill level, and the complexity of annotation tasks, which may involve using tools like labeling software or AI platforms.

What is a Data Annotation Engineer job?

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 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:
AIML Data Operations - Account & Program Manager

AIML Data Operations - Account & Program Manager

Apple

Austin, TX • On-site

Full-time

Posted 28 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Behind every groundbreaking AI innovation at Apple is a foundation of high-quality annotated data. We are looking for an AI/ML Data Operations Program Manager to play a critical role in ensuring the quality and efficiency of this vital process. ..In this role, you will engage with teams across Apple's ecosystem with the ultimate goal of delivering high-quality annotated data that enables AI advancements across the company. You will be responsible for capturing initial requirements, following through on all program commitments from our cross-functional operations and engineering teams, and maintaining the customer relationship. You will need to understand the strategic goals of your customers to help prioritize operations tasks and coordinate with capacity planning for operational resources. Imagine being at the heart of Apple's AI revolution, ensuring that our machine learning models are trained with the highest quality data. As a Program Manager, you will be the vital link between our innovative teams and the data they need to create the next generation of Apple products and features.
As an AI/ML Data Operations Program Manager, you will be at the core of our Artificial Intelligence and Machine Learning development process. You will collaborate with cross-functional teams to define annotation requirements, manage operational projects from prototype to scale, and ensure customer satisfaction by delivering high-quality data. Your work will directly contribute to the success of the next generation of Apple products and features.
10+ years of experience managing cross-functional programs across global teams.Experience communicating technical concepts to technical and non-technical audiences.Experience consolidating multiple points of view into recommendations to move projects forward.Experience building rapport and influencing stakeholders.Experience identifying and resolving process bottlenecks.Self-motivated and proactive, with the ability to thrive in a fast-paced, ambiguous environment.
Experience with data annotation tools and workflows, and a strong understanding of machine learning concepts and methodologies.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976