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Hourly Advanced Ai Data Trainer Jobs in Spring, TX

Viridien

Head of Applied AI Products

Houston, TX · On-site

Viridien (www.viridiengroup.com) is an advanced technology, digital and Earth data company that ... provide tailored training programs through our Learning Hub, designed to enhance technical ...

Hp

Principal AI Data Scientist

Spring, TX

$147K - $230K/yr

We also serve as HP's AI Center of Excellence, providing consulting assistance, reuseable components and frameworks, and training to other teams across the company. As a Principal Data Scientist ...

Gainwell Technologies LLC

Expert AI Engineer

Houston, TX · On-site

$147K - $210K/yr

... model training while ensuring compliance with HIPAA and other regulatory standards. * System ... Advanced Education : Master's or Ph.D. in Computer Science, AI, Data Science, or a related field.

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All JobsHourly Advanced Ai Data Trainer JobsHourly Advanced Ai Data Trainer Jobs in Spring, TX

Hourly Advanced Ai Data Trainer information

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How much do hourly advanced ai data trainer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for hourly advanced ai data trainer in Spring, TX is $27.80, according to ZipRecruiter salary data. Most workers in this role earn between $17.74 and $31.68 per hour, depending on experience, location, and employer.

What is an hourly advanced AI data trainer?

An Hourly Advanced AI Data Trainer is a professional who works on labeling, annotating, and refining data to train advanced artificial intelligence models. They use specialized tools and follow detailed guidelines to ensure that data fed to AI systems is accurate and relevant. This role often involves reviewing large sets of text, images, or other data types, identifying patterns, and correcting errors to improve AI performance. Paid on an hourly basis, these trainers help AI systems become more accurate and effective in understanding and generating human-like responses.

How do hourly advanced AI data trainers typically collaborate with engineering and data science teams to ensure data quality?

Hourly Advanced AI Data Trainers often work closely with engineering and data science teams to clarify annotation guidelines, resolve ambiguous cases, and provide feedback on data quality. Regular sync meetings or communication via project management tools are common, ensuring that trainers' insights help improve model training and accuracy. This collaboration fosters a shared understanding of project goals and enables prompt resolution of any data-related challenges, making the workflow more efficient and robust.

What are the key skills and qualifications needed to thrive as an hourly advanced AI data trainer, and why are they important?

To thrive as an Hourly Advanced AI Data Trainer, you generally need expertise in data annotation, a solid understanding of AI/ML concepts, and strong analytical skills, often supported by a relevant degree or experience in computer science or linguistics. Familiarity with annotation platforms, data labeling tools, and sometimes programming languages like Python is typically expected. Attention to detail, effective communication, and the ability to follow complex guidelines are crucial soft skills for excelling in this role. These skills ensure high-quality, accurate data that directly impacts the performance and reliability of AI models.

What is the difference between Hourly Advanced Ai Data Trainer vs Data Analyst?

AspectHourly Advanced Ai Data TrainerData Analyst
Required CredentialsRelevant certifications in AI, data science, or machine learning; often includes specialized trainingBachelor's degree in data science, statistics, or related field; certifications like CAP or Microsoft Certified Data Analyst are common
Work EnvironmentRemote or on-site, focused on training AI models, data labeling, and model validationOffice or remote, analyzing datasets, creating reports, and providing insights
Employer & Industry UsageTech companies, AI startups, research institutionsBusiness, finance, healthcare, marketing, and various industries requiring data insights

While both roles involve working with data, the Hourly Advanced Ai Data Trainer specializes in training AI models and data labeling, often requiring AI-specific certifications. Data Analysts focus on interpreting data, creating reports, and providing insights across industries. The roles differ mainly in their focus on AI training versus data analysis, though they share foundational data skills.

What job categories do people searching Hourly Advanced Ai Data Trainer jobs in Spring, TX look for?

The top searched job categories for Hourly Advanced Ai Data Trainer jobs in Spring, TX are:

What cities near Spring, TX are hiring for Hourly Advanced Ai Data Trainer jobs?

Cities near Spring, TX with the most Hourly Advanced Ai Data Trainer job openings:

Hourly Advanced Ai Data Trainer jobs near you
Infographic showing various Hourly Advanced Ai Data Trainer job openings in Spring, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $57,829 per year, or $27.8 per hour.

CFD & Aerodynamic Engineer (AI Training & Evaluation)

Lifted, an Upwork Company™

Houston, TX • On-site, Remote

$80 - $110/hr

Contractor

Posted 26 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.

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