Posted today · be early
Materials Scientist - Fully Remote | Upto $70/hr
mercor
IndiaremotePosted today
Skill Required
Materials-ScienceAI-Prompt-EngineeringResearch-EngineeringScientific-ResearchAI-Training-DataMaterials-Science-JobsFreelance-Material-ScienceMaterial-ScientistMaterial-Science-SpecialistComputational-Materials-ScientistMaterials-ScientistR&Drelated fieldEngineeringR ProgrammingPythonDockerGitandAIContract
Key highlights
- $70/hour compensation
- Contract position
- Remote location
- 6 week duration
- 20+ hours/week commitment
- PhD in materials science or related field required
Role overview
Mercor connects elite creative and technical talent with leading AI research labs. This contract role involves sourcing scientific materials, writing scientific prompts, and building grading criteria to challenge AI models, with a focus on calibration against frontier models. The position requires a PhD in materials science or a closely related field with expertise in semiconductor materials and molecular modeling, and involves working independently to improve AI model performance.
Responsibilities
- Source material from published papers, Kaggle datasets, open-source repositories, or designed scenarios.
- Write scientific prompts based on sourced input to challenge AI models.
- Build grading criteria to define correct answers for scientific tasks.
- Calibrate tasks against frontier models, ensuring tasks ship only when strong models fail more often than succeed.
- Work independently and asynchronously to meet deadlines and improve AI model performance.
Requirements
- PhD in materials science, materials engineering, applied physics, chemistry, chemical engineering, or a closely related field.
- Demonstrated depth in semiconductor materials and molecular modeling.
- Working proficiency in Python, R, or another relevant programming language for scientific computing.
- Comfortable with Git/GitHub and running code in Docker.
Nice to have
- Publications in peer-reviewed journals.
- Prior scientific software or research engineering experience.
Additional details
- Investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
- Headquartered in San Francisco.
- Position: Material Science PhD Coding Experts.
- Type: Contract.
- Compensation: $70/hour.
- Location: Remote.
- Duration: 6 weeks.
- Commitment: 20+ hours/week.
- Start Date: Immediate.
- Application Process (Takes 20–30 mins to complete): Upload resume, AI interview based on your resume, Submit form.
- Interview Process: Upload your resume and application form. A 25-minute conversational interview covering your background, experience, and motivations. Follow up within a few days with next steps and onboarding.
- Resources & Support: For details about the interview process and platform information, please check [Mercor's resources]. For any help or support, reach out to [Mercor team].
- Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
