ZipRecruiter

Log In

2

Entry Level Ai Data Annotation Jobs in Texas (NOW HIRING)

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 ...

previous pagenext page

Showing results 21-40

All JobsAi Data Annotation JobsEntry Level Ai Data Annotation JobsEntry Level Ai Data Annotation Jobs in Texas

Entry Level Ai Data Annotation information

What is an entry level AI data annotation?

An Entry Level AI Data Annotation job involves labeling and categorizing data such as images, text, audio, or video to help train artificial intelligence (AI) and machine learning models. Annotators follow specific guidelines to tag data accurately, ensuring that AI systems learn to recognize patterns correctly. These positions typically require attention to detail, basic computer skills, and the ability to follow instructions. No advanced technical knowledge is usually required, making it a great way to start a career in the AI or tech industry.

What are some common challenges faced by entry level AI data annotation specialists, and how can they be addressed?

Entry-level AI data annotation specialists often encounter challenges such as maintaining consistency and accuracy while labeling large volumes of data, understanding nuanced instructions, and adapting to changing project requirements. These challenges can be addressed by actively seeking clarification from team leads, participating in training sessions, and regularly reviewing annotation guidelines. Collaborating with teammates and using quality assurance feedback also helps improve accuracy and ensures alignment with project standards.

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

To thrive as an Entry Level AI Data Annotation Specialist, attention to detail, basic computer literacy, and a high school diploma or equivalent are typically required. Familiarity with data labeling platforms, annotation tools, and spreadsheet software is often expected. Strong organizational skills, focus, and the ability to work independently help individuals excel in this role. These skills ensure accurate and efficient data labeling, which is crucial for developing reliable AI and machine learning models.
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 Entry Level Ai Data Annotation jobs in Texas? For Entry Level Ai Data Annotation jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Entry Level Ai Data Annotation jobs in Texas look for? The top searched job categories for Entry Level Ai Data Annotation jobs in Texas are:
What cities in Texas are hiring for Entry Level Ai Data Annotation jobs? Cities in Texas with the most Entry Level Ai Data Annotation job openings:
Entry Level Ai Data Annotation jobs near you
Infographic showing various Entry Level Ai Data Annotation job openings in Texas as of August 2026, with employment types broken down into 50% Full Time, 33% Part Time, and 17% Contract. Highlights an 33% In-person, and 67% Remote job distribution.

CFD & Aerodynamic Engineer (AI Training & Evaluation)

Lifted, an Upwork Company™

Houston, TX • On-site, Remote

$80 - $110/hr

Contractor

Posted 12 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.

Apply