Maths Mentor | $80/task Remote

Crossing Hurdles; India; On-site; INR 10,556,321; Part time

Job summary

Crossing Hurdles is seeking a Research Quality Specialist for a short-term contract focusing on computational math. Candidates with a PhD or in the process of obtaining one in Computational Mathematics are preferred. Responsibilities include developing scientific problems in Python, conducting quality reviews, and collaborating with project leads. This remote role offers flexible scheduling and requires strong analytical and problem-solving skills along with proven research experience.

Qualifications

• PhD holders or PhD candidates in Computational Mathematics preferred.
• Candidates must have published at least one peer-reviewed research paper.
• Strong proficiency in Python programming is essential.

Responsibilities

• Develop original graduate-level scientific problems using Python.
• Define problem categories and assign difficulty levels.
• Solve formulated problems accurately.
• Participate in quality reviews for problems and solutions.
• Collaborate with reviewers to improve content quality.

Skills

Python programming for scientific computing

Analytical reasoning

Logical thinking

Problem-solving abilities

Technical documentation skills

Education

PhD in Computational Mathematics

Published peer-reviewed research paper

Job description

Role: Research Quality Specialist Computational Math (Task Based)

Type: Short-Term Contract (8 weeks)

Compensation: $80 per approved task

Task Duration: Complex tasks are expected to take approximately 4 hours each

Location: Remote

Start Date: Immediate

Work Schedule: 8 hours/day with a minimum 4-hour overlap with PST

Role Overview

We are seeking a highly analytical and computationally proficient individual to join our team with a strong research background. You will be instrumental in contributing to this role by either crafting challenging and insightful problems in your respective research domain, devising elegant computational solutions.

Responsibilities

• Develop original graduate-level or research-grade scientific problems involving scientific coding/programming using Python.
• Define problem categories, secondary tags, and assign appropriate difficulty levels.
• Solve formulated problems with complete logical consistency, reliability, and accuracy.
• Participate in detailed two-tier quality reviews for both problems and solutions.
• Collaborate closely with reviewers and project leads to refine content quality and improve evaluation standards.

Qualifications

• PhD holders or PhD candidates in Computational Mathematics (Numerical Linear Algebra and Computational Mechanics preferred).
• Candidates who have published at least one peer‑reviewed research paper.
• Strong proficiency in Python programming for scientific computing.
• Excellent analytical reasoning, logical thinking, and advanced problem‑solving abilities.
• Strong written and verbal communication skills for technical documentation and collaboration.
• Candidates with an active LinkedIn profile (mandatory).