- Create realistic computational physical-science tasks that challenge advanced AI models.
- Develop task instructions, reproducible environments, reference solutions, and evaluation criteria.
- Evaluate model-generated calculations, code, simulations, models, and technical deliverables.
- Identify invalid assumptions, numerical errors, physically impossible results, incorrect methods, or reproducibility failures.
Requirements
- Prior paid experience training, evaluating, benchmarking, or improving AI systems on scientific or technical tasks.
- Solid practical proficiency with Python.
- Deep expertise in at least one relevant physical-science specialization.
- Hands-on experience using computational methods for modeling, simulation, numerical analysis, data analysis, or reproducible research.
Application Process
- Easy Apply on LinkedIn
- Check email for next steps
- Participate in resume evaluation & interview stage
📌 Physicist | Remote (Australia)
🏢 Crossing Hurdles
📍 Australia
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