Materials Science Engineer - AI Training
Braintrust
Job Overview
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Job Description
Materials Science Engineer - AI Training at Braintrust
This is an excellent opportunity to supplement your income while advancing your career — all while applying your Materials Science expertise to help train cutting-edge AI systems.
Our client has hired over 1,000 Braintrust talent and will continue expanding. Many subject-matter experts earn $12,000/month or more.
Work as much or as little as you want — 20 hrs/week suggested, not mandatory. Your hourly rate will be set by Outlier AI based on your location.
What To Expect
Qualified applicants will be invited to join the Outlier platform and complete an ID verification, short assessment before getting access to the work queue.
Required Qualifications
- Master’s degree and/or PhD in Materials Science or Materials Engineering
- Strong understanding of:
- Materials characterization
- Thermodynamics & kinetics
- Polymers, ceramics, metals, composites
- Microstructure–property relationships
- Failure analysis
- Ability to explain complex scientific concepts in clear English
Preferred Qualifications
- Research or industry experience in materials development, lab analysis, or modeling
- Experience conducting experiments, analysis, or simulations
- Familiarity with scientific programming or analysis tools (Python, MATLAB, etc.)
- Experience writing technical reports or scientific explanations
What You’ll Be Working On
Help train AI models to better understand materials science, engineering principles, and scientific reasoning.
Example tasks include:
- Reviewing AI-generated explanations of material behavior
- Assessing correctness of thermodynamic or kinetics-based reasoning
- Evaluating descriptions of characterization methods (SEM, XRD, DSC, etc.)
- Writing clear explanations of properties, testing, or material selection
- Reviewing step-by-step scientific reasoning for accuracy
💡 No AI/ML experience needed — instructions provided.
Note: Outlier AI is partnering with Remotasks for this opportunity.
Key skills/competency
- Materials Science
- AI Training
- Materials Engineering
- Thermodynamics
- Kinetics
- Polymers
- Ceramics
- Metals
- Composites
- Failure Analysis
How to Get Hired at Braintrust
- Understand Braintrust's Model: Research Braintrust's unique decentralized talent network and how they connect skilled professionals with clients.
- Showcase Materials Science Expertise: Tailor your resume to highlight your Master's/PhD, specific materials knowledge (polymers, ceramics), and analytical skills.
- Prepare for the Outlier AI Platform: Expect an ID verification and a short assessment on the Outlier platform to qualify for the Materials Science Engineer - AI Training role.
- Emphasize Clear Communication: Practice explaining complex scientific concepts concisely and clearly, as this is crucial for training AI models effectively.
- Highlight Relevant Experience: Include any experience in materials development, lab analysis, simulations, or technical writing, even if not directly AI-related.
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