Materials Scientist / Engineer for AI Training

SaidGig; New York (NY); Remote; USD 110,000 - 179,000; Full time

Job summary

SaidGig is seeking a materials science specialist for a fully remote contractor role to analyze experimental data, annotate technical datasets, and create realistic case studies that train AI systems. You will convert real-world scientific knowledge into high-quality inputs, with no prior AI experience required.

You will collaborate with other researchers, perform literature reviews, and ensure deliverables meet project specifications while communicating complex concepts clearly to diverse

Qualifications

• MS or PhD in Materials Science and Engineering, Metallurgy, Mechanical Engineering, Chemical Engineering, or related discipline (materials specialization preferred).
• Demonstrated expertise in materials characterization techniques, e.g., microscopy, spectroscopy, and mechanical testing.
• Strong analytical skills and experience interpreting complex scientific data.
• Substantial experience conducting technical literature reviews and summarizing key findings.
• Proven ability to communicate complex technical concepts clearly, in writing and verbally, to diverse audiences.
• Experience with quality assurance and review of scientific documents or datasets.
• Familiarity with remote collaboration tools and digital knowledge sharing environments.

Responsibilities

• Analyze and interpret scientific data from experiments, technical datasets, and research publications in materials science and engineering.
• Conduct comprehensive technical literature reviews to identify advances, methodologies, and challenges in materials characterization and related areas.
• Annotate and structure technical datasets with precise, detailed commentary and context to support model training.
• Develop realistic scenarios and case studies that represent practical applications and challenges within materials engineering, metallurgy, or related sectors.
• Provide clear, well organized written and verbal explanations of materials phenomena, properties, and scientific reasoning.
• Perform quality assurance checks on scientific deliverables to ensure consistency, accuracy, and adherence to project specifications.
• Collaborate remotely with other scientific contributors using standard digital documentation and communication tools.

Skills

Materials characterization

Microscopy

Spectroscopy

Mechanical testing

Data interpretation

Technical literature reviews

Communication

Remote collaboration

Education

MS in Materials Science and Engineering

PhD in Materials Science and Engineering

Tools

Remote collaboration tools

Job description

Role Overview

Apply your materials science expertise to inform and train next-generation AI systems by analyzing experimental data, annotating technical datasets, and developing realistic case studies that reflect practical challenges in materials engineering. This remote contractor role focuses on converting real-world scientific knowledge into high-quality inputs that improve how models learn and reason. No prior AI experience is required.

Key Responsibilities

• Analyze and interpret scientific data from experiments, technical datasets, and research publications in materials science and engineering.
• Conduct comprehensive technical literature reviews to identify advances, methodologies, and challenges in materials characterization and related areas.
• Annotate and structure technical datasets with precise, detailed commentary and context to support model training.
• Develop realistic scenarios and case studies that represent practical applications and challenges within materials engineering, metallurgy, or related sectors.
• Provide clear, well organized written and verbal explanations of materials phenomena, properties, and scientific reasoning.
• Perform quality assurance checks on scientific deliverables to ensure consistency, accuracy, and adherence to project specifications.
• Collaborate remotely with other scientific contributors using standard digital documentation and communication tools.

Qualifications

• MS or PhD in Materials Science and Engineering, Metallurgy, Mechanical Engineering, Chemical Engineering, or a related discipline with materials specialization preferred.
• Demonstrated expertise in materials characterization techniques, for example microscopy, spectroscopy, and mechanical testing.
• Strong analytical skills and experience interpreting complex scientific data.
• Substantial experience conducting technical literature reviews and summarizing key findings.
• Proven ability to communicate complex technical concepts clearly, both in writing and verbally, to diverse audiences.
• Experience with quality assurance and review of scientific documents or datasets.
• Familiarity with remote collaboration tools and digital knowledge sharing environments.

Work Terms

Role type: Contractor, fully remote.

Work involves preparing and submitting task-based deliverables according to project specifications.

Minimum submission requirements apply. Experts must submit a minimum of tasks per week.

Start availability: candidates should be ready to begin quickly; roles are typically filled within 48 hours.

Compensation

• Pay rate: $80.00 to $130.00 per hour.
• Payment model: output-based, experts are paid per task that meets project specifications. The time required to complete work may vary by experience and workflow.

Eligibility and Onboarding

• No prior AI experience required, domain expertise is the priority.
• If selected, you will complete onboarding, and you should be prepared to start your first tasks within 24 to 48 hours after onboarding is finished.