Material Science Evaluator | $28/hr Remote

Crossing Hurdles; Indonesia; On-site; IDR 600,000,000 - 1,000,000,000; Full time

Job summary

Crossing Hurdles in Indonesia seeks a seasoned leader to head a team of 5–10 technical trainers focused on AI training tasks. You will develop and review scientific tasks, ensuring technical accuracy and reproducibility of code and research outputs.

Responsibilities include mentoring the team, analyzing simulations, collaborating with stakeholders to refine training materials, and documenting processes for future reference. A Ph.D. in Materials Science and strong programming skills are essential.

Qualifications

• Ph.D. in Materials Science or equivalent advanced expertise.
• Strong programming skills across Python, C/C++, Fortran, or Julia.
• Experience with atomistic simulation or computational thermodynamics.
• Experience reviewing scientific code and simulations.
• Previous leadership or mentoring of technical teams.
• Strong analytical and written communication skills.
• Proficient in Linux/terminal for development tasks.

Responsibilities

• Lead a team of 5–10 technical trainers for AI training tasks.
• Develop and review scientific tasks ensuring technical accuracy.
• Ensure reproducibility and quality of scientific code and research outputs.
• Mentor team members and provide technical guidance.
• Analyze simulations and evaluate results for scientific integrity.
• Collaborate with stakeholders to refine training materials.
• Document processes and findings for future reference.

Skills

Python

C/C++

Fortran

Julia

Mentoring

Linux

Education

Ph.D. in Materials Science

Tools

Atomistic simulation software

Git

HPC

Job description

• Lead a team of 5 10 technical trainers for AI training tasks
• Develop and review scientific tasks ensuring technical accuracy
• Ensure reproducibility and quality of scientific code and research outputs
• Mentor team members and provide technical guidance
• Analyze simulations and evaluate results for scientific integrity
• Collaborate with stakeholders to refine training materials
• Document processes and findings for future reference

Requirements

• Ph.D. or equivalent advanced expertise in Materials Science
• Strong programming skills in Python, C/C++, Fortran, or Julia
• Expertise in atomistic simulation or computational thermodynamics
• Experience in reviewing scientific code and simulations
• Previous leadership or mentoring experience in technical teams
• Strong analytical and written communication skills
• Proficient in Linux/terminal interface for development tasks