Job Title
Materials Scientist / Engineer - AI Trainer
Job Type
Contractor
Compensation Structure
Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply, and experts are expected to complete a minimum number of tasks per week.
Location
Remote
Job Summary
In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.
No prior experience in AI is required—your expertise in materials science and engineering is what matters most.
Key Responsibilities
- Analyze and interpret scientific data from experiments, technical datasets, and research publications in materials science and engineering.
- Conduct comprehensive literature reviews to identify advances, methodologies, and challenges in materials characterization.
- Annotate and organize technical datasets with detailed scientific context to support AI model training.
- Develop realistic case studies and scenarios representing practical applications in materials science, metallurgy, and related fields.
- Provide clear written and verbal explanations of materials properties, behavior, and scientific reasoning.
- Review project deliverables to ensure technical accuracy, consistency, and quality.
- Collaborate remotely with scientific contributors using digital collaboration and documentation tools.
Required Skills and Qualifications
- Master's or PhD in Materials Science & Engineering, Metallurgy, Mechanical Engineering, Chemical Engineering, or a related field with a materials specialization.
- Expertise in materials characterization techniques such as microscopy, spectroscopy, or mechanical testing.
- Strong analytical skills with experience interpreting complex scientific and experimental data.
- Experience conducting technical literature reviews and synthesizing scientific findings.
- Excellent written and verbal communication skills.
- Experience reviewing scientific documents, datasets, or technical deliverables for quality and accuracy.
- Ability to work independently in a remote, collaborative environment.
Preferred Qualifications
- Experience contributing to AI, scientific data annotation, or technical knowledge management projects.
- Familiarity with remote collaboration platforms and digital documentation workflows.
- Background in industrial research, product development, or advanced materials engineering.
Start Timeline & Availability
We typically fill roles within 48 hours and are looking for experts ready to begin quickly. If selected, you'll be expected to start your first tasks within 24–48 hours after completing onboarding.
Job Type: Contract
Pay: $80.00 - $130.00 per hour
Benefits:
Work Location: Remote
