Material Science Evaluator | $28/hr Remote

Crossing Hurdles; India; Sur place; INR 1 500 000 - 2 800 000; Plein temps

Résumé du poste

Crossing Hurdles is seeking a lead for AI training initiatives in advanced materials science. You will head a team of 5–10 technical trainers, ensuring technical accuracy, reproducibility, and high-quality research outputs across projects.

You will mentor team members, review simulations, and collaborate with stakeholders to refine training materials. You will document all processes for future reference, shaping rigorous AI training tasks in materials research.

Qualifications

• PhD or equivalent in Materials Science.
• Strong programming in Python, C/C++, Fortran, or Julia.
• Expertise in atomistic simulation or computational thermodynamics.
• Experience in reviewing scientific code and simulations.
• Leadership or mentoring experience in technical teams.
• Proficient in Linux/terminal interface for development tasks.

Responsabilités

• 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.

Connaissances

Python

C/C++

Fortran

Julia

Analytical thinking

Written communication

Formation

Ph.D. in Materials Science

Outils

Linux/Terminal

Description du poste

• 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