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

Who We Want The Data Scientist II will work closely with Data Science, Product, and Engineering to ... Experience designing data annotation workflows, labeling guidelines, or label quality processes is ...

Who We Want The Data Scientist II will work closely with Data Science, Product, and Engineering to ... Experience designing data annotation workflows, labeling guidelines, or label quality processes is ...

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

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Apply Early

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 ...

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 ...

Apply Early

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

New

... Python, data analysis, and model evaluation frameworks. * Familiarity with prompt engineering ... Experience building evaluation datasets and working with annotation platforms. * Understanding of ...

... annotation programs that balance accuracy and speed while maintaining quality standards. You will partner closely with Engineering, Data Science, and Programs to translate evolving system ...

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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 Jul 6, 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 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.

Does data annotation really pay?

Data annotation engineers can earn competitive wages, often paid hourly or per task, with pay rates varying based on experience, complexity of annotations, and the platform or employer. Entry-level roles may start at minimum wage, while experienced annotators or those with specialized skills can earn higher salaries or freelance rates. Overall, data annotation can provide a reliable income, especially for remote or flexible work arrangements.

What is the highest salary for data annotator?

The highest salary for a data annotation engineer can reach up to $80,000 to $100,000 annually, depending on experience, location, and the complexity of annotation tasks. Senior roles or those with specialized skills in tools like Labelbox or CVAT may earn higher compensation. Salaries vary widely across companies and regions but generally reflect the technical skills required for high-quality data labeling.

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 prepare it for machine learning models. They often use specialized tools and follow guidelines to ensure data quality, supporting the development of AI systems.

How hard is it to get hired by data annotation?

Getting hired as a data annotation engineer typically requires basic computer skills, attention to detail, and familiarity with annotation tools. Many positions are entry-level and may not require advanced degrees, but strong accuracy and consistency are important for success in the role.

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 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 June 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $146,165 per year, or $70.3 per hour.
AIML Data Operations - Account & Program Manager

AIML Data Operations - Account & Program Manager

Apple

Austin, TX • On-site

Full-time

Posted 22 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 667 frontline employees who took The Breakroom Quiz

5th 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 Appleʼs 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.
Description
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.
Minimum Qualifications
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.
Preferred Qualifications
Experience with data annotation tools and workflows, and a strong understanding of machine learning concepts and methodologies.

What Apple employees say

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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