AI training & evaluation
Materials Modeling Engineer
Handshake AI
You'll draw on your hands-on experience with computational modeling, materials simulation, and research workflows to evaluate AI-generated content and provide feedback that helps AI better understand…
- Work arrangement & location
- Remote
Track this job
- Engagement
- Degree filters: Postdocs, Ph.Ds, Master's, Bachelor's
- Hours
- 5–20 hours per week
Employer description and requirements
Overview
Handshake is looking for materials science and engineering modeling professionals to support AI research through flexible, hourly contract work. This is not a traditional job. You'll draw on your hands-on experience with computational modeling, materials simulation, and research workflows to evaluate AI-generated content and provide feedback that helps AI better understand materials modeling and research engineering practices.
This is an ongoing, project-based opportunity that can be done alongside research, teaching, postdoctoral work, or industry employment.
Details
- This project involves independently producing expert-level analytical work and data outputs using the tools and workflows from your professional practice. You will be asked to complete real work tasks — such as building price forecast models or developing PPA documentation — in a structured, project-based format.
- Fully remote with a flexible, asynchronous schedule and no minimum hour requirement; most contributors work approximately 5–20 hours per week when participating in an active project.
- Placement depends on current project needs, with opportunities to be considered for future projects as they become available.
Qualifications
- At least 2 years of professional experience in materials science, computational modeling, or research engineering, in roles such as:
- Materials Scientist or Materials Modeling Engineer
- Battery R&D Engineer or Computational Chemist
- Modeling & Simulation Engineer or Controls Engineer
- Or equivalent roles in the energy or research sector
- Hands-on experience with one or more of the following tools:
- MATLAB
- Materials Studio
- Strong written communication skills, attention to detail, and the ability to work independently and asynchronously.