Material Sciences - Graduates - AI Training - Las Vegas, US

Prolific; Las Vegas (NV); On-site; USD 55,104 - 68,880; Part time

Job summary

Prolific is seeking Materials Science Specialists to join their Expert Network. This role involves evaluating AI models using your scientific expertise. Candidates should have at least a Bachelor’s degree in Materials Science or a related field and must demonstrate strong analytical skills. Responsibilities include comparing AI-generated technical explanations, fact-checking data, and providing feedback to improve AI outputs. The position offers competitive pay starting at $40+/hr for successful candidates.

Qualifications

• Must hold a Bachelor of Science degree in a relevant STEM field.
• Experience interpreting phase diagrams and crystalline structures is required.
• Strong analytical capabilities and rigorous attention to detail are essential.

Responsibilities

• Evaluate and rank AI-generated technical explanations for accuracy.
• Review scientific papers and AI-generated abstracts for correctness.
• Fact-check AI-generated data against scientific documentation.
• Provide feedback to enhance AI models for corporate and scientific use.
• Audit summaries for chemical compositions and material properties.

Skills

Materials research

Analytical skills

Technical literacy

Attention to detail

Education

BSc in Materials Science or related field

Job description

Material Sciences - Graduates - AI Training - US

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

About the role

We're looking for Materials Science Specialists to join our Expert Network to help train and evaluate cutting‑edge AI models using real scientific expertise. If you have a background in materials research, engineering, or technical analysis, we'll send you a quick 10‑ to 15‑minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models.

Researchers looking for your skills tend to pay $40+/hr, depending on skills and experience level. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.

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 LinkedIn profile or professional history to verify your credentials during the screening process.
• A PayPal account to receive payment from our clients.

Responsibilities

• AI Evaluation & Ranking: comparing multiple AI-generated technical explanations or research summaries and ranking them based on scientific accuracy and logic.
• Strategic Document Audit: reviewing Materials Science scientific papers alongside AI-generated graphical abstracts to identify inaccuracies or misrepresentations.
• Fact‑Checking: verifying that the AI-generated data (formulas, material properties, and experimental results) faithfully represent the source scientific documentation.
• Model Alignment: providing high-level feedback to help AI models produce "enterprise‑ready" corporate and scientific intelligence.
• Technical Verification: auditing 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.