- Create realistic computational mathematics and statistics tasks that challenge advanced AI models.
- Develop task instructions, reproducible environments, reference solutions, and evaluation criteria.
- Evaluate model-generated proofs, calculations, code, models, optimizations, and technical deliverables.
- Identify logical errors, invalid assumptions, numerical instability, incorrect statistical methods, or reproducibility failures.
Requirements
- Prior paid experience training, evaluating, benchmarking, or improving AI systems on mathematical or technical tasks.
- Robust practical proficiency with Python.
- Deep expertise in at least one relevant mathematical specialization.
- Hands-on experience using computational methods for numerical analysis, optimization, statistics, theorem proving, modeling, or scientific computing.
Application Process
- Easy Apply on LinkedIn
- Check email for next steps
- Participate in resume evaluation & interview stage
📌 Statistician | Remote (Australia)
🏢 Crossing Hurdles
📍 Australia
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