Materials Scientist / Engineer for AI Training Project
Gramian Consulting
Job description
About the role
We are seeking an experienced Materials Scientist or Engineer to support an AI training project. The specialist will analyse experimental data, curate scientific datasets and create realistic engineering scenarios for AI model development. The position is fully remote and paid on a freelance, per‑task basis.
Key responsibilities
- Analyse experimental results, technical datasets and materials‑science research.
- Conduct literature reviews on materials, methodologies and characterisation techniques.
- Annotate and structure scientific datasets with clear technical context.
- Interpret material properties, behaviour and testing results.
- Develop realistic case studies and engineering scenarios for AI training.
- Explain complex materials concepts in clear written form.
- Review scientific deliverables for accuracy, consistency and technical quality.
- Identify gaps, unsupported conclusions and data‑quality issues.
- Collaborate remotely with other scientific contributors.
Required profile
- MS or PhD in Materials Science, Metallurgy, Mechanical Engineering, Chemical Engineering or a related field.
- Professional or research experience in materials science or engineering.
- Experience with materials characterisation methods such as microscopy, spectroscopy or mechanical testing.
- Strong ability to interpret scientific data and technical literature.
- Proven skill in producing clear, accurate and structured scientific explanations.
Required skills
- Microscopy
- Spectroscopy
- Mechanical testing
- Data analysis
- Scientific literature review
- Dataset annotation
- Technical writing
What we offer
- Freelance contract paid per completed task.
- Hourly rate between $80 and $130.
- Fully remote work with flexible commitment.
- Quick onboarding – start within 24‑48 hours.
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Published 1 month ago
Expires 2 weeks from now
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