Material Science Evaluator | $28/hr Remote

Crossing Hurdles; Turkey; À distance; TRY 1 032 000 - 1 927 000; Plein temps

Résumé du poste

Crossing Hurdles is seeking a Pod Lead Material Science for a contract role supporting remote work in AI-driven materials research. You will lead a small team of trainers, oversee the development and review of scientific tasks, and ensure the quality and reproducibility of code and results.

The ideal candidate holds a PhD in Materials Science, is proficient in Python and at least one of C/C++, Fortran, or Julia, and has experience mentoring technical teams and working with Linux environments.

Qualifications

• Ph.D. or equivalent advanced expertise in Materials Science.
• Proficiency in Python, C/C++, Fortran, or Julia is required.
• Experience reviewing scientific code and simulations.

Responsabilités

• Lead a team of 5–10 technical trainers for AI training tasks.
• Develop and review scientific tasks for 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

Leadership/mentoring

Analytical thinking

Written communication

Formation

Ph.D. in Materials Science

Outils

Python

C/C++

Fortran

Julia

Linux/terminal

Description du poste

Position

Pod Lead Material Science

Contract type

Contract

Compensation

$15 $28 per hour

Location

Remote

Commitment

20 40 hours/week

Role 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

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