Role: Pod lead - Math (Terminal Bench Science)

Budget: $ per hour

Role Overview

You will review trainer-created tasks for mathematical correctness, reproducibility, challenge, and grader reliability. You will also mentor trainers, manage quality and throughput, and ensure that tasks reflect authentic mathematical research and computational workflows.

The role covers numerical and applied mathematics, scientific computing, optimization, statistics, mathematical modeling, computational algebra, and formal verification.

What you'll do:

Review tasks end to end, including problem statements, datasets, environments, reference solutions, and automated tests.

Verify mathematical correctness, well-posedness, convergence, stability, conditioning, discretization error, and edge-case handling.





Ensure tasks require genuine multi-step reasoning rather than lookup or a single library call.

What we're looking for:

Ph.D., postdoctoral experience, or equivalent advanced experience in mathematics, applied mathematics, statistics, or a related field.

Strong programming skills in Python, Julia, C/C++, MATLAB/Octave, or a computer algebra system.

Robust Linux and terminal proficiency.

Hands-on experience with numerical methods, scientific computing, symbolic computation, optimization, computational statistics, or mathematical modeling.

Ability to rigorously evaluate mathematical derivations, algorithms, proofs, and computational results.

📌 PHD (India)
🏢 Sourcebae
📍 India