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Temporary Ai Data Annotation Jobs in Texas (NOW HIRING)

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 ...

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

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 ...

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Temporary Ai Data Annotation information

What is a temporary AI data annotation job?

Temporary AI Data Annotation jobs involve labeling, categorizing, or tagging data such as images, text, audio, or video for the purpose of training artificial intelligence (AI) and machine learning models. These roles are often short-term or contract positions, as they are needed for specific projects or during certain stages of data processing. Annotators play a critical role in ensuring the quality and accuracy of datasets, which directly impacts the performance of AI systems. No advanced technical skills are usually required, but attention to detail and consistency are important. These jobs may be offered remotely or on-site, depending on the employer.

What are some common challenges faced in a temporary AI data annotation role, and how can they be managed?

One of the main challenges in a Temporary AI Data Annotation position is maintaining consistent accuracy and attention to detail, especially when working with large volumes of data. Annotation guidelines can be complex and may change depending on project requirements, so adaptability and clear communication with the team are key. Managing repetitive tasks while ensuring high-quality work can be demanding, but using productivity tools and taking regular breaks can help maintain focus. Collaborating with quality assurance leads and participating in feedback sessions are also important for continuous improvement.

What are the key skills and qualifications needed to thrive as a temporary AI data annotation specialist, and why are they important?

To thrive as a Temporary AI Data Annotation Specialist, you need keen attention to detail, strong analytical skills, and the ability to follow complex guidelines, often supported by a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools like Labelbox or Prodigy, and basic computer literacy are typically required. Reliability, consistency, and the ability to work independently stand out as valuable soft skills in this role. These competencies are essential for producing high-quality, accurate data that directly impacts the effectiveness of machine learning models.

What is the difference between Temporary Ai Data Annotation vs Data Labeler?

AspectTemporary Ai Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic skills, sometimes specific software knowledge
Work EnvironmentRemote or on-site, project-basedRemote or on-site, often similar settings
Industry UsageAI, machine learning, tech companiesAI, autonomous vehicles, tech sectors
Job FocusAnnotating data for AI trainingLabeling data for machine learning models

Temporary Ai Data Annotation involves short-term projects focused on preparing data for AI systems, while Data Labeler is a broader role that includes labeling various data types for machine learning. Both roles require similar skills and are used in tech industries, but Temporary Ai Data Annotation emphasizes project-based work specifically for AI training datasets.

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 Temporary Ai Data Annotation jobs in Texas?

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

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

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

What cities in Texas are hiring for Temporary Ai Data Annotation jobs?

Cities in Texas with the most Temporary Ai Data Annotation job openings:

Temporary Ai Data Annotation jobs near you
Infographic showing various Temporary Ai Data Annotation job openings in Texas as of August 2026, with employment types broken down into 33% Full Time, 33% Part Time, and 34% Contract. Highlights an 67% In-person, and 33% Remote job distribution.

Copy of CFD & Aerodynamic Engineer (AI Training & Evaluation)

Lifted, an Upwork Company™

Houston, TX • Remote

$80 - $110/hr

Contractor

Re-posted 10 days ago

Key responsibilities

  • Design CFD and aerodynamics tasks to evaluate AI models' engineering reasoning.

  • Create and review engineering problems, including boundary conditions, mesh quality, and simulation setup, to ensure clarity and physical accuracy.

  • Develop deterministic scoring checkers and produce verified reference solutions to evaluate AI-generated responses.

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.

    Apply