Mathematics Reviewer | $28/hr Remote

Crossing Hurdles; Indonesia; Remote; IDR 374,687,000 - 699,416,000; Part time

Job summary

Crossing Hurdles is seeking a Pod lead - Math (Terminal Bench Science) for a remote, contract-based role. The candidate will lead mathematical task design and verification, ensuring rigorous mathematical correctness and multi-step reasoning.

Strong programming skills in Python, Julia, C/C++, and MATLAB are required, along with Linux proficiency and experience in numerical methods and optimization. The role involves mentoring trainers, coordinating with stakeholders, and developing graders for

Qualifications

• Ph.D. or equivalent in mathematics or related field.
• Strong programming skills in Python, Julia, C/C++, MATLAB/Octave.
• Proficient in Linux and terminal usage for scientific computing.
• Experience with numerical methods, optimization, and mathematical modeling.
• Ability to evaluate algorithms, proofs, and computational results rigorously.

Responsibilities

• Review trainer-created tasks for mathematical correctness and reproducibility.
• Verify convergence, stability, and error handling of mathematical tasks.
• Ensure tasks promote genuine multi-step reasoning and appropriate computation.
• Design graders based on mathematical properties and check for optimality certificates.
• Provide feedback and track trainer revisions to ensure quality.
• Mentor and onboard trainers in task design and coding practices.
• Collaborate with stakeholders to enhance benchmark quality.

Skills

Python

Julia

C/C++

MATLAB/Octave

Linux/Terminal

Numerical methods

Optimization

Mathematical modeling

Mentoring

Communication

Education

Ph.D. in Mathematics or related field

Postdoctoral experience

Tools

Python

Julia

C/C++

MATLAB/Octave

Job description

Position: Pod lead - Math (Terminal Bench Science)

Type: Contract

Compensation: $15 - $28/hr

Location: Remote

Commitment: 10 40 hours/week

Role Responsibilities

• Review trainer-created tasks for mathematical correctness and reproducibility
• Verify the convergence, stability, and error handling of mathematical tasks
• Ensure tasks promote genuine multi-step reasoning and appropriate computation
• Design graders based on mathematical properties and check for optimality certificates
• Provide feedback and track trainer revisions to ensure quality
• Mentor and onboard trainers in task design and coding practices
• Collaborate with stakeholders to enhance benchmark quality

Requirements

• Ph.D., postdoctoral experience, or equivalent in mathematics or related field
• Strong programming skills in Python, Julia, C/C++, MATLAB/Octave
• Proficient in Linux and terminal usage for scientific computing
• Experience with numerical methods, optimization, and mathematical modeling
• Ability to evaluate algorithms, proofs, and computational results rigorously
• Strong communication skills to provide constructive feedback
• Experience mentoring or leading technical or research teams