Materials Scientist
- Pay
- Not listed
- Location
- Worldwide
- Type
- Contract
- Posted
- Apr 21, 2026
- Languages
- English
Apply materials science and engineering expertise to AI training datasets covering polymers, metals, semiconductors, and advanced materials.
Role details
- Domain: Research
- Experience level: PhD Required
- Required expertise: Materials Characterization, X-ray Diffraction, Polymer Science, Nanotechnology
- Location: Fully remote
Responsibilities
- Annotate materials science datasets and case studies
- Validate AI-generated materials analysis and synthesis content
- Generate training examples in semiconductor, polymer, and nanomaterial domains
- Identify technical errors in AI materials outputs
Requirements
- PhD in materials science, engineering, or related field
- 3+ years research or industrial experience
- Expertise in materials characterization techniques
- Strong technical writing skills
Benefits
- Fully remote with flexible hours
- Contribute to advanced materials AI
- Reliable on-time payments
Pasiflora AI is an expert network that contracts specialists to review, annotate and validate AI training data in their own field. Screening steps, task volume, time commitment and payment terms are shown on the Pasiflora application page — apply on pasifloraai.com.