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Remote Ai Data Rater Jobs in Houston, TX (NOW HIRING)

Remote Job Overview We are seeking experienced AI Finance Domain Experts to contribute their ... Assess and annotate financial data, reports, and AI-generated outputs using structured evaluation ...

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

AI/ML Engineer - Remote

Houston, TX · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by ...

Showing results 41-60

Remote Ai Data Rater information

See Houston, TX salary details

$9

$56

$79

How much do remote ai data rater jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for remote ai data rater in Houston, TX is $56.07, according to ZipRecruiter salary data. Most workers in this role earn between $50.29 and $65.19 per hour, depending on experience, location, and employer.

What is a remote AI data rater?

Remote AI Data Raters are professionals who evaluate and annotate data such as text, images, or audio to help improve artificial intelligence systems. They work from home or any remote location, following specific guidelines to assess the relevance, accuracy, and quality of data used to train AI algorithms. Their feedback is crucial for machine learning models to better understand and process human language, visual content, or other data types. This role often requires attention to detail, strong communication skills, and the ability to follow detailed instructions.

What skills and qualifications are needed to be a remote AI data rater?

To thrive as a Remote AI Data Rater, you need strong analytical skills, attention to detail, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with web-based evaluation platforms and tools, as well as adherence to specific project guidelines, is typically required. Excellent communication, time management, and the ability to work independently are valuable soft skills for this role. These abilities ensure accurate data labeling and evaluation, which are crucial for improving AI system performance.

What challenges do remote AI data raters face and how can they be overcome?

Remote AI Data Raters often encounter challenges such as maintaining consistent focus during repetitive tasks and accurately interpreting guidelines that may change depending on project requirements. Effective strategies to overcome these challenges include setting up a distraction-free workspace, taking regular short breaks to reduce fatigue, and actively participating in training sessions or forums provided by employers. Additionally, clear communication with team leads or project managers can help clarify ambiguous instructions and ensure alignment with quality standards.

What is the difference between Remote Ai Data Rater vs Remote Content Moderator?

AspectRemote Ai Data RaterRemote Content Moderator
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentOnline, flexible hours, task-basedOnline, flexible hours, task-based
Employer & IndustryTech companies, AI developmentSocial media, online platforms
Search & Comparison IntentData labeling, AI trainingContent review, policy enforcement

Remote Ai Data Raters focus on labeling and annotating data to train AI models, while Remote Content Moderators review user-generated content to enforce platform policies. Both roles require attention to detail and are performed online with flexible hours, but they serve different purposes within the tech industry.

What are the most commonly searched types of Ai Data Rater jobs in Houston, TX?

The most popular types of Ai Data Rater jobs in Houston, TX are:

What job categories do people searching Remote Ai Data Rater jobs in Houston, TX look for?

The top searched job categories for Remote Ai Data Rater jobs in Houston, TX are:

What cities near Houston, TX are hiring for Remote Ai Data Rater jobs?

Cities near Houston, TX with the most Remote Ai Data Rater job openings:

Infographic showing various Remote Ai Data Rater job openings in Houston, TX as of July 2026, with employment types broken down into 78% Full Time, 20% Part Time, and 2% Contract. Highlights an 65% Physical, 5% Hybrid, and 30% Remote job distribution, with an average salary of $116,624 per year, or $56.1 per hour.

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

Houston, TX • Remote

Lifted, an Upwork Company™
Software Development • 501 - 1,000 employees

$80 - $110/hr

Contractor

Re-posted 11 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.