Materials Scientist / Engineer (AI Training Project)

About the role

Gramian Consultancy is seeking an experienced Materials Scientist or Materials Engineer to support an AI training project. The role is fully remote and task‑based, allowing you to work flexibly on a freelance basis while applying your expertise to real‑world materials‑engineering scenarios.

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 outcomes.
• 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 and interpretation
• Scientific literature review
• Dataset annotation and structuring
• Technical scientific writing

What we offer

• Freelance contract paid per completed task.
• Hourly rate between $80 and $130.
• Fully remote work with flexible scheduling.
• Opportunity to contribute to cutting‑edge AI training initiatives.