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Material Sciences - Graduates - AI Training - El Paso

Remote / Online - Candidates ideally in
El Paso, El Paso County, Texas, 88568, USA
Listing for: Prolific
Apprenticeship/Internship, Remote/Work from Home position
Listed on 2026-05-30
Job specializations:
  • Research/Development
    Artificial Intelligence, Data Scientist
Salary/Wage Range or Industry Benchmark: 40 USD Hourly USD 40.00 HOUR
Job Description & How to Apply Below
Position: Material Sciences - Graduates - AI Training - El Paso, US

Material Sciences – Graduates – AI Training – US

We are looking for Materials Science Specialists to join our expert network and help train and evaluate cutting‑edge AI models using real scientific expertise. If you have a background in materials research, engineering, or technical analysis, you will be invited to complete a brief assessment and, if successful, become a paid participant.

Pay ranges from $40+ per hour, depending on skill and experience level. Tasks typically require one hour of uninterrupted work, though many are shorter.

What You’ll Bring (Qualifications)
  • Educational Background: At minimum, a BSc (Bachelor of Science) in Materials Science, Metallurgy, Chemical Engineering, or a closely related STEM field.
  • Technical Literacy: Deep interest or experience in materials research, including the ability to interpret phase diagrams, crystalline structures, and property data.
  • Analytical Rigor: Strong attention to detail and the ability to concentrate on complex technical tasks for extended periods.
  • Professional Verification: A valid Linked In profile or professional history to verify credentials during the screening process.
  • Pay Pal Account: Ability to receive payment via Pay Pal.
What You’ll Be Doing (Responsibilities)
  • AI Evaluation & Ranking: Compare multiple AI‑generated technical explanations or research summaries and rank them based on scientific accuracy and logic.
  • Strategic Document Audit: Review materials science scientific papers alongside AI‑generated graphical abstracts to identify inaccuracies or misrepresentations.
  • Fact‑Checking: Verify that AI‑generated data (formulas, material properties, and experimental results) faithfully represent the source scientific documentation.
  • Model Alignment: Provide high‑level feedback to help AI models produce “enterprise‑ready” corporate and scientific intelligence.
  • Technical Verification: Audit the structural integrity of summaries involving complex chemical compositions and material behaviors.
Key Technologies
  • Generative AI (LLMs): Training and fine‑tuning models specialized in STEM and corporate intelligence.
  • Scientific Visualization: Evaluating AI‑generated graphical abstracts and data visualizations.
  • Research Databases: Navigating technical literature to provide “ground truth” data.
Benefits
  • Competitive pay rates.
  • Flexible hours.
  • Remote work.
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