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Intern Ai Data Annotation Jobs in Texas (NOW HIRING)

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 ...

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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Intern Ai Data Annotation information

What does an intern AI data annotation do?

An Intern AI Data Annotation is responsible for labeling and categorizing data, such as images, text, or audio, to help train artificial intelligence models. They ensure data is accurately tagged according to specific guidelines so that AI systems can learn to recognize patterns or make predictions. This role often involves using specialized annotation tools and requires attention to detail to maintain high-quality datasets. Interns may also assist with reviewing and correcting data, as well as collaborating with data scientists and engineers to improve annotation processes.

What are the key skills and qualifications needed to thrive as an intern AI data annotation?

To thrive as an Intern AI Data Annotation Specialist, you need strong attention to detail, basic data handling skills, and familiarity with common data formats, often supported by a background in computer science or related fields. Experience with data labeling tools, annotation platforms, and sometimes basic knowledge of Python or similar scripting languages is typically required. Reliability, patience, and effective communication are essential soft skills for ensuring accuracy and collaborating with team members. These competencies are crucial for generating high-quality annotated datasets that enable accurate machine learning model development.

What does a typical day look like for an intern AI data annotation, and how do they collaborate with other teams?

As an AI Data Annotation Intern, your typical day involves labeling and categorizing data such as images, audio, or text to train machine learning models. You’ll use specialized annotation tools and follow detailed guidelines to ensure consistency and accuracy. Collaboration is key—you’ll often communicate with data scientists, machine learning engineers, and project managers to clarify requirements and provide feedback on ambiguous cases. This teamwork helps ensure the data you annotate aligns with project goals and quality standards, making your contributions vital to the development of AI solutions.

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

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

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

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

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

Lifted, an Upwork Company™

Houston, TX • Remote

$80 - $110/hr

Contractor

Posted 23 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.