About this role
Role Overview
Join a network of physicists who provide domain expertise to AI labs and companies, contributing to the development and evaluation of physics-focused AI systems. This is an open application for future contract engagements that match your background. You will be considered for projects as they become available after you complete the application steps and pass an AI-based screening.
Key Responsibilities- Train and evaluate AI models on physics problems and datasets.
- Create tasks, prompts, and deliverables that reflect real-world physics scenarios.
- Provide domain-specific feedback to improve model performance and research outcomes.
- Participate in interviews or short assessments for specific project invitations.
- Work independently to deliver agreed outputs on a remote schedule.
- Professional experience in one or more of the following areas, theoretical and computational modeling, experimental design and data analysis, scientific programming.
- Strong written and verbal communication skills for explaining technical feedback.
- Proven ability to work autonomously in a remote environment.
- Engagement type, contract hourly work for discrete projects.
- Location, remote work only. You must confirm your work location during application.
- Typical time commitment, projects commonly require between 15 and 30 hours per week, though scope and duration vary by project.
- Project availability is not guaranteed, experts are matched to opportunities on a rolling basis as needs arise.
Hourly rate range, $60 to $80 per hour.
Eligibility- This is an open application for future contract opportunities, not an immediate hire to a specific role.
- To be considered, complete a single application profile, upload your resume, and confirm your work location.
- Applications are reviewed and qualified candidates are verified; passing an AI-based interview or screening is required to become eligible for matching.
- Once verified, you will be matched and invited to interview for projects that align with your expertise, schedule, and interests. Invitations and placement depend on project needs.