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Data Labelling Jobs in Texas (NOW HIRING)

Data Architect

Austin, TX · On-site

$63.25 - $81.25/hr

Ability to design the best approach and architecture for automated data labeling and data lifecycle. * Knowledge of how commercial and federal solutions solve Defense-related data environment and ...

Data Architect with Security Clearance

Austin, TX · On-site

$62.25 - $80/hr

Ability to design the best approach and architecture for automated data labeling and data lifecycle. * Knowledge of how commercial and federal solutions solve Defense-related data environment and ...

Senior Software Engineer, Data

Austin, TX · On-site

$113K - $136K/yr

Develop tooling and services for data labeling, data review, and dataset curation at scale. * Find and evaluate new external data sources - manage relationships with data partners and vendors.

Senior Software Engineer, Data

Austin, TX · On-site

$113K - $136K/yr

Develop tooling and services for data labeling, data review, and dataset curation at scale. * Find and evaluate new external data sources - manage relationships with data partners and vendors.

Showing results 41-60

Data Labelling information

What is a data labelling?

A Data Labelling job involves annotating data, such as text, images, audio, or video, to help train machine learning models. Labelers categorize or tag data by following specific guidelines to ensure accuracy and consistency. This process is essential for improving AI applications, including image recognition, natural language processing, and autonomous systems. Attention to detail and adherence to instructions are key skills required for this role.

What are the typical daily responsibilities of a data labelling professional?

Data Labelling professionals are generally responsible for reviewing and accurately annotating large volumes of data—such as images, audio, video, or text—to support machine learning and AI projects. This often involves using specialized labeling platforms and following detailed guidelines provided by data scientists or project managers. You may also participate in regular team meetings to discuss quality standards or address ambiguities in data, and your work is typically reviewed for accuracy before being integrated into training datasets. Collaborating with other data annotators, engineers, and analysts is a common part of the process to ensure consistency and high-quality results.

What are the key skills and qualifications needed to thrive in the data labelling position, and why are they important?

To thrive as a Data Labelling professional, you need strong attention to detail, proficiency with data annotation processes, and a basic understanding of machine learning concepts. Familiarity with annotation tools like Labelbox, Supervisely, or Amazon SageMaker Ground Truth is often required, and some roles may value certifications in data processing or AI fundamentals. Reliability, patience, and the ability to follow precise instructions are important soft skills for success in this position. These skills ensure accurate and consistent data labeling, which is critical for developing effective AI models and maintaining data integrity.

How can I get started in data labeling?

To start in data labeling, gain familiarity with annotation tools and understand the specific data types you'll work with, such as images, text, or audio. Building attention to detail and basic knowledge of machine learning concepts can improve your effectiveness; some roles may require basic computer skills or certifications. Entry-level positions often offer flexible schedules and remote work options.

How much do data labelers make?

Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform they work for. Some may earn higher rates with specialized skills or certifications, especially for complex data annotation tasks involving images, videos, or audio. Pay can vary based on whether the work is freelance, part-time, or full-time, and some roles offer project-based or hourly compensation.

Is data labelling a good career?

Data labelling is a common entry-level role in data annotation and machine learning workflows, often requiring attention to detail and familiarity with labeling tools. It can provide opportunities to develop skills in data management and AI, but typically offers lower pay and limited advancement without additional training or experience.

What are data labeling jobs?

Data labeling jobs involve annotating or tagging data such as images, text, or videos to help machine learning models learn and improve. These roles typically require attention to detail and familiarity with labeling tools or software, and they are often performed remotely with flexible schedules.

What are the most commonly searched types of Data Labelling jobs in Texas?

The most popular types of Data Labelling jobs in Texas are:

What job categories do people searching Data Labelling jobs in Texas look for?

The top searched job categories for Data Labelling jobs in Texas are:

What cities in Texas are hiring for Data Labelling jobs?

Cities in Texas with the most Data Labelling job openings:

Infographic showing various Data Labelling job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 4% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Architect

Austin, TX • On-site

Akima, LLC
Specialty Trade Contractors • 5 - 10K employees

$63.25 - $81.25/hr

Other

Retirement

Re-posted 14 days ago


Akima rating

6.8

Company rating: 6.8 out of 10

Based on 35 frontline employees who took The Breakroom Quiz


Job description

About the Mission
The Army Software Factory (ASWF) in Austin is one of the most ambitious software initiatives in the federal government. We operate like a modern, high-growth technology startup embedded within the military, transforming active-duty Soldiers into software engineers through real-world, production-level development.
We don't just build software to support the mission; we build the people who build the software. We utilize modern methodologies like Extreme Programming (XP), Lean Product Development, and User-Centered Design (UCD) inside cross-functional, balanced teams.
Responsibilities
The Data Architect provides architecture, design, engineering, and management support services to the Chief Data Officer to enable ASWF to create and maintain data pipeline architectures to automate the processing of large complex data sets.
Qualifications
  • 10 years of experience with at least 3 years' DOD experience.
  • Knowledge of DoD and Army data (including metadata) administration and data standardization policies and standards.
  • Knowledge of the capabilities and functionality associated with various technologies for organizing and managing data at rest and in transit.
  • Knowledge of the characteristics of physical and virtual data storage media.
  • Ability to analyze and plan for anticipated changes in data capacity requirement and determine, recommend, and plan the development of a new application or modification of an existing application.
  • Ability to provide recommendations on new database technologies and architectures.
  • Ability to advise higher level leadership on critical data architecture and management issues.
  • Knowledge of cloud computing deployment models in private, public, and hybrid environments and the difference between on-premises and off-premises environments.
  • Knowledge of data operations (DataOps) processes and best practices.
  • Ability to design the best approach and architecture for automated data labeling and data lifecycle.
  • Knowledge of how commercial and federal solutions solve Defense-related data environment and platform challenges.
  • Knowledge of Personally Identifiable Information (PII), National Security System (NSS), and Personal Health Information (PHI) data security standards.
  • Clearance Note:
    • Interim Secret Clearance Required: Because of the mission context, candidates must be eligible to obtain an Interim Secret clearance to start. Don't let this deter you if you don't currently hold one-we support and guide qualified candidates entirely through the clearance process.

Job ID
2026-24601
Work Type
On-Site
Company Description
Work Where it Matters
Systems Intelligence, an Akima company, is not just another federal IT contractor. As an Alaska Native Corporation (ANC), our mission and purpose extend beyond our exciting federal projects as we support our shareholder communities in Alaska.
At Systems Intelligence, the work you do every day makes a difference in the lives of our 15,000 Iupiat shareholders, a group of Alaska natives from one of the most remote and harshest environments in the United States.
For our shareholders, Systems Intelligence provides support and employment opportunities and contributes to the survival of a culture that has thrived above the Arctic Circle for more than 10,000 years.
For our government customers, Systems Intelligence delivers innovative information technology solutions that evolve and modernize IT infrastructures.
As a Systems Intelligence employee, you will be surrounded by a challenging, yet supportive work environment that is committed to innovation and diversity, two of our most important values. You will also have access to our comprehensive benefits and competitive pay in addition to growth opportunities and excellent retirement options.

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About Akima

Sourced by ZipRecruiter

As an Alaska Native Corporation headquartered in Herndon, Virginia, Akima is dedicated to delivering superior outcomes for our customers’ missions while simultaneously creating a long-lived asset for our Iñupiat shareholders. Akima maintains a portfolio of small businesses, 8(a) companies, and operating companies that deliver simplified and accelerated access to the products and services agencies need to ensure mission success.

Industry

Specialty trade contractors

Company size

5,001 - 10,000 Employees

Headquarters location

Herndon, VA, US

Year founded

1995

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