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Data Annotation Tech Jobs in Texas (NOW HIRING)

Apple

Senior Manager - AI Data Operations

Austin, TX · On-site

... technology to industry-leading environmental efforts. At Apple, inclusion is a shared ... You will lead an organization of internal domain experts, building scalable annotation programs ...

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$11

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How much do data annotation tech jobs pay per hour?

As of May 31, 2026, the average hourly pay for data annotation tech in Texas is $21.28, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $25.29 per hour, depending on experience, location, and employer.

What is a Data Annotation Tech job?

A Data Annotation Tech is responsible for labeling and categorizing data, such as text, images, audio, or video, to train machine learning models. They follow specific guidelines to ensure accuracy and consistency in annotations, which helps improve the performance of AI systems. This role often involves repetitive tasks, attention to detail, and familiarity with various annotation tools. Data annotation is crucial for AI development in industries like healthcare, finance, and autonomous driving.

What are the key skills and qualifications needed to thrive in the Data Annotation Tech position, and why are they important?

To thrive as a Data Annotation Tech, you need keen attention to detail, basic computer literacy, and familiarity with data labeling standards, often supported by a high school diploma or equivalent. Experience with annotation platforms, image or text labeling tools, and basic knowledge of data management systems is highly valuable. Strong organizational skills, patience, and effective communication set top candidates apart in this field. These skills and qualities ensure annotated data is accurate, consistent, and valuable for machine learning or AI projects.

What does a typical day look like for a Data Annotation Tech?

A typical day as a Data Annotation Tech involves reviewing large sets of data—such as images, text, or audio—and accurately labeling or categorizing them using specialized software. You may work independently or as part of a team, following specific project guidelines to ensure data integrity and consistency. Collaboration with project managers or data scientists is common when clarifying ambiguous data points or addressing annotation challenges. Additionally, productivity targets and quality checks are a regular part of the workflow, helping to keep projects on schedule and maintain high standards.

Is data annotation legit or not?

Data annotation is a legitimate job that involves labeling data such as images, text, or audio to train machine learning models. It is commonly performed remotely and requires attention to detail, basic technical skills, and familiarity with annotation tools. Many companies hire data annotators as part of AI development projects, making it a valid employment option.
More about Data Annotation Tech jobs
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What cities in Texas are hiring for Data Annotation Tech jobs? Cities in Texas with the most Data Annotation Tech job openings:
Data Annotation Tech jobs near you
Infographic showing various Data Annotation Tech job openings in Texas as of May 2026, with employment types broken down into 78% Full Time, 11% Part Time, and 11% Contract. Highlights an 97% Physical, and 3% Remote job distribution, with an average salary of $44,265 per year, or $21.3 per hour.
Senior Manager - AI Data Operations

Senior Manager - AI Data Operations

Apple

Austin, TX • On-site

Full-time

Posted 20 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

Imagine what you could do here! The people here at Apple don't just create products - they build the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to develop a culture where everyone belongs and is inspired to do their best work..Here on the Apple Store Online team, we are responsible for Apple's largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things..Apple's Retail Decision Automation team is looking for an outstanding and experienced Program Manager of AI Data Operations who is passionate about delivering production-grade machine learning and analytics solutions. You'll partner across technical and program teams to manage an organization of data domain experts. Our work in decision automation powers a broad portfolio of Retail initiatives, all with the common goal of enriching and reimagining our customer experience.
You will lead an organization of internal domain experts, building scalable 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 requirements into robust audit pipelines, tooling strategies, and measurable performance lift.
MS in Computer Science, Statistics, Applied Math or a related field8+ years of people management of data scientists, statisticians, or other analysis-related teams.10-12 Years in AI data operations or ML program leadership.Demonstrated experience leading large-scale annotation or data operations teams.Skilled at attracting new talent, as well as developing talent within the team and planning for succession.Builds a culture where values guide decisions, people are put first, and innovation drives quality results.Communicates with humility and curiosity, creating an environment where people feel safe to share feedback openly.Strong understanding of ML lifecycle, model evaluation metrics, and feedback loops.Proven track record building scalable quality systems in high-growth environments.Ability to influence cross-functional technical leaders and executives.Deep analytical mindset with comfort in ambiguity and rapid iteration environments.
Experience designing RLHF or structured human feedback programs.Background in large language model evaluation and red-teaming.Familiarity with synthetic data strategies.Exposure to the software development lifecycle or internal tooling investments.Prior experience managing a data operations team.

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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

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