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Ai Data Annotation Jobs in Texas (NOW HIRING)

YO AI Labs

AI Consulting Expert - Remote

Houston, TX · Remote

$100 - $200/hr

Job Title: AI Consulting Domain Remote Job Type: Contractor (Part-Time) Location: Remote Job ... Data Annotation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail ...

YO AI Labs

AI Consulting Expert - Remote

Austin, TX · Remote

$100 - $200/hr

Job Title: AI Consulting Domain Remote Job Type: Contractor (Part-Time) Location: Remote Job ... Data Annotation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail ...

YO AI Labs

AI Consulting Expert - Remote

Dallas, TX · Remote

$100 - $200/hr

Job Title: AI Consulting Domain Remote Job Type: Contractor (Part-Time) Location: Remote Job ... Data Annotation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail ...

Arrive Logistics

Data Scientist II

Austin, TX · On-site

... AI systems that drive operational value, focusing on text and language-based applications ... annotation guidelines and ensuring label quality. • Evaluate and apply the appropriate approach ...

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Ai Data Annotation information

What is an AI data annotation?

An AI Data Annotation job involves labeling or tagging data, such as text, images, audio, or video, to train machine learning models. Annotators ensure that data is accurately categorized so AI systems can learn to recognize patterns and make predictions. This work is crucial for improving AI applications like self-driving cars, chatbots, and image recognition software. It often requires attention to detail and familiarity with specific annotation tools.

What does an AI data annotation do?

As an AI Data Annotator, your typical day involves labeling and tagging data such as images, audio, or text according to specific project guidelines, often using specialized annotation software. You may work independently or as part of a remote or on-site team, collaborating with data scientists and quality assurance specialists to ensure consistency and accuracy. Regular feedback sessions and quality checks are common to maintain high annotation standards. The role can be repetitive, but attention to detail and clear communication with team members help create datasets that are crucial for training effective AI systems.

What are the key skills and qualifications needed to thrive in AI data annotation?

To excel in AI Data Annotation, you need strong attention to detail, data accuracy, and a basic understanding of data labeling concepts, typically supported by a high school diploma or equivalent. Familiarity with annotation tools such as Labelbox, Supervisely, or similar platforms is often required, and some employers may value basic programming or machine learning course certifications. Excellent communication, the ability to follow detailed guidelines, and time management are valuable soft skills in this role. These skills ensure the production of high-quality annotated datasets, which are critical for training reliable AI and machine learning models.

How much do AI data annotators make?

AI data annotators typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of the annotation tasks. Many positions are freelance or part-time, requiring attention to detail and familiarity with annotation tools like Labelbox or CVAT.

How to become an AI data annotation?

To become an AI data annotation specialist, you should have strong attention to detail, basic computer skills, and familiarity with annotation tools such as LabelImg or CVAT. Many roles require a high school diploma or equivalent, and some employers prefer candidates with experience in data labeling or related fields. Training is often provided on the job, and the work can be remote or in-office with flexible schedules.

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

The most popular types of Ai Data Annotation jobs in Texas are:

What are popular job titles related to Ai Data Annotation jobs in Texas?

For Ai Data Annotation jobs in Texas, the most frequently searched job titles are:

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

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

Ai Data Annotation jobs near you
Infographic showing various Ai Data Annotation job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

CFD & Aerodynamic Engineer (AI Training & Evaluation)

Lifted, an Upwork Company™

Houston, TX • Remote

Contractor

Posted 18 days ago

Job description

Company Description

An enterprise client is seeking CFD & Aerodynamic Engineers to help train and evaluate next-generation AI systems by contributing real-world engineering expertise.

This opportunity is offered by a leading AI data platform that enables organizations to build intelligent applications powered by high-quality human expertise.

    Job Description

    This opportunity is ideal for experienced CFD and Aerodynamics Engineers who enjoy solving complex engineering problems and want to contribute their expertise to the development of advanced AI systems.

    What You'll Do:

    • Design compact, self-contained CFD and aerodynamics tasks that evaluate AI models' engineering reasoning.
    • Create clear and technically accurate problem statements covering topics such as boundary conditions, mesh quality, flow regimes, and simulation setup.
    • Develop deterministic scoring checkers that objectively evaluate AI-generated responses.
    • Produce verified reference solutions to ensure each task is technically accurate and fully solvable.
    • Review and refine engineering tasks to improve clarity, physical accuracy, and appropriate difficulty.
    • Apply real-world experience with OpenFOAM to develop practical and realistic engineering scenarios.
    • Work independently in a fully remote, asynchronous environment with complete scheduling flexibility.
    Qualifications

    Requirements:

    • Bachelor's degree (or higher) in Aerospace Engineering, Mechanical Engineering, or a closely related discipline.
    • Hands-on experience using OpenFOAM for computational fluid dynamics simulations.
    • Strong foundation in fluid mechanics, aerodynamics, and heat transfer principles.
    • Experience with:
      • Mesh generation
      • Turbulence modeling
      • Boundary condition specification
      • Post-processing and simulation analysis
    • Ability to write clear, precise, and objectively verifiable engineering problems.
    • Excellent written English communication skills with the ability to explain complex technical concepts clearly.
    • Self-motivated, detail-oriented, and able to work independently with minimal supervision.

    Nice to Haves:

    • Experience working on aerospace, automotive, motorsports, renewable energy, or industrial CFD applications.
    • Familiarity with advanced CFD validation and verification techniques.
    • Experience reviewing technical documentation or engineering research.
    • Previous experience contributing to AI, simulation, or data annotation projects.

    Additional Information
    • Fully remote, independent contractor opportunity.
    • Flexible schedule with an expected workload of 10–39 hours per week, depending on project demand.
    • Compensation ranges from $80–$110 USD per hour, based on qualifications and experience.
    • Payments are issued weekly for completed work from the previous week.
    • If selected, you will receive an Upwork contract offer along with onboarding instructions for the client's task platform.
    • To be considered, candidates must:
      • Submit an Upwork proposal.
      • Complete the required Google Form.
      • Accept the Upwork contract to receive onboarding instructions, assessment access, and project payments.
    • Due to the high volume of applicants, only shortlisted candidates will be contacted.