Pod lead - Math (Terminal Bench Science)

Hello, Greetings from ZettaMine!!! Freelancing Opportunity We are hiring a POD Lead Mathematics Expert (Terminal Bench Science) for a short-term Frontier AI Research, Scientific Computing & AI Model Evaluation initiative. Location India Role POD Lead Mathematics Expert (Terminal Bench Science) Educational Eligibility PhD, postdoctoral experience, or equivalent advanced research experience in Mathematics, Applied Mathematics, Statistics, or a related field. Mode Remote Start Expected next week Duration 3 Weeks Employment Type Contractor assignment (no medical or paid leave). Mandatory Eligibility Criteria Technical Qualification Strong programming skills in Python, Julia, C/C++, MATLAB/Octave, or computer algebra systems. Strong proficiency in Linux and terminal environments. Hands-on experience in Numerical Methods, Scientific Computing, Optimization, Symbolic Computation, Computational Statistics, or Mathematical Modeling. Strong understanding of mathematical proofs, algorithms, convergence, stability, numerical conditioning, and error analysis. Experience reviewing mathematical derivations, research outputs, computational models, or scientific code. Ability to validate mathematical correctness, numerical accuracy, solver performance, and reproducibility. Experience designing or reviewing automated tests, mathematical benchmarks, or computational evaluations. Experience mentoring technical teams, reviewing deliverables, and maintaining quality standards. Excellent written communication skills for providing precise technical feedback and documentation. Preferred Qualifications Familiarity with NumPy, SciPy, SymPy, mpmath, SageMath, PARI/GP, or Mathematica. Experience with FEniCS, Firedrake, PETSc, DifferentialEquations.jl, CVXPY, JuMP, or Pyomo. Familiarity with Lean/mathlib, Coq/Rocq, Isabelle, or other proof assistants. Experience with Docker, Git, CI systems, and automated testing. Experience designing mathematical benchmarks, competition problems, or simulation-based evaluations. Prior experience evaluating AI coding agents, mathematical reasoning, or AI training programs. What You'll Work On Lead and mentor a pod of approximately 510 technical trainers developing realistic, terminal-based mathematical tasks for a frontier AI training and evaluation initiative. Review tasks end to end, including problem statements, datasets, computational environments, reference solutions, and automated tests. Validate tasks involving numerical analysis, optimization, statistics, differential equations, mathematical modeling, computational algebra, and formal verification. Ensure tasks require genuine multi-step reasoning rather than simple lookups or single-library calls. Verify convergence, stability, numerical conditioning, discretization errors, and appropriate computational precision. Review automated graders to ensure they evaluate mathematical properties, residuals, feasibility, optimality, error bounds, and proof correctness. Identify mathematical inaccuracies, unrealistic assumptions, hard-coded outputs, and opportunities to bypass intended computations. Provide actionable feedback, track revisions, and ensure quality issues are resolved before task approval. Onboard and mentor trainers, allocate work, monitor quality and productivity, and resolve technical blockers. Maintain technical documentation, task design guidelines, and best practices. Availability Requirements Minimum 40 hours per week. At least 4 hours of availability per day. Minimum 4 hours of overlap with PST business hours. #J-18808-Ljbffr Zettamine Labs