Pod Expert-Mathematic|$20-$28/hr

Codefeast; India; Remote; INR 2,619,000 - 3,667,000; Full time

Job summary

Codefeast is seeking a Pod Lead - Mathematics (Terminal Bench Science) to head a pod of 5–10 trainers. The role focuses on reviewing tasks for mathematical correctness, reproducibility, and grader reliability, while mentoring staff to reflect authentic computational workflows across numerical methods, optimization, statistics, and formal verification.

The candidate will ensure tasks resist trivial library calls, validate the proper use of exact or floating-point computation, and lead efforts to

Qualifications

• 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.
• Strong 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.
• Experience reviewing research outputs, code, or scientific workflows, and mentoring small technical teams.
• Strong written communication skills for providing precise, constructive feedback.

Responsibilities

• Review tasks end-to-end (problem statements, datasets, environments, reference solutions, and automated tests).
• Verify mathematical correctness, well-posedness, convergence, stability, and edge-case handling.
• Ensure tasks require genuine multi-step reasoning rather than single library calls or lookups.
• Validate the appropriate use of exact, symbolic, arbitrary-precision, or floating-point computation.
• Design and review graders based on mathematical properties (residuals, feasibility, optimality, error bounds, etc.).
• Ensure reproducibility through pinned tools and dependencies; prevent hard-coded or bypassing solutions.
• Provide actionable feedback, track revisions, and mentor trainers on task design and rigor.
• Allocate work, monitor quality/throughput, elevate blockers, and maintain pod documentation.
• Collaborate with the Mathematics Team Lead to improve benchmark quality.

Skills

Python

Julia

C/C++

MATLAB/Octave

Linux

Numerical methods

Scientific computing

Symbolic computation

Education

PhD or Postdoc

Tools

Python

Julia

C/C++

MATLAB/Octave

Linux shell

Job description

Pod Lead - Mathematics (Terminal Bench Science) | $20 - $28/hr

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

Job Type: Contractor assignment

Location: Remote

Domain: Mathematics | Scientific Computing | AI Training

Role Overview

We are seeking an experienced Mathematics expert to lead a pod of 5–10 trainers developing realistic, terminal-based scientific and technical tasks. You will review tasks for mathematical correctness, reproducibility, and grader reliability, while mentoring trainers to ensure tasks reflect authentic computational workflows across numerical methods, optimization, statistics, and formal verification.

Key Responsibilities

• Review tasks end-to-end (problem statements, datasets, environments, reference solutions, and automated tests).
• Verify mathematical correctness, well-posedness, convergence, stability, and edge-case handling.
• Ensure tasks require genuine multi-step reasoning rather than single library calls or lookups.
• Validate the appropriate use of exact, symbolic, arbitrary-precision, or floating-point computation.
• Design and review graders based on mathematical properties (residuals, feasibility, optimality, error bounds, etc.).
• Ensure reproducibility through pinned tools and dependencies; prevent hard-coded or bypassing solutions.
• Provide actionable feedback, track revisions, and mentor trainers on task design and rigor.
• Allocate work, monitor quality/throughput, elevate blockers, and maintain pod documentation.
• Collaborate with the Mathematics Team Lead to improve benchmark quality.

Key Requirements

• 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.
• Strong 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.
• Experience reviewing research outputs, code, or scientific workflows, and mentoring small technical teams.
• Strong written communication skills for providing precise, constructive feedback.
• Engagement Type: Contractor assignment
• Start Date: Immediate
• Commitment: Minimum 40 hours per week with an overlap of 4 hours with PST.