Materials Scientist / Engineer (AI Training Project) (India)

Materials Scientist / Engineer (AI Training Project) (India)

31 Jul
|
Gramian Consulting
|
India

31 Jul

Gramian Consulting

India

About Us Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

Role Overview We are looking for an experienced Materials Scientist or Materials Engineer to analyse experimental results, review technical literature, structure scientific datasets, and create realistic materials-engineering scenarios. You will also evaluate scientific deliverables for accuracy, consistency, and technical quality. Previous AI experience is not required.

CONTRACT: Freelance contractor, paid per completed task COMMITMENT: Flexible, based on available tasks and project demand LOCATIONS: Fully remote - GLOBAL PROCESS: Application review, subject-matter assessment, and onboarding HOURLY RATE: $80-$130/h NOTES: Selected experts should be ready to begin within 24-48 hours after onboarding.

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

Explain complex materials concepts in clear written form

Review scientific deliverables for accuracy and consistency

Identify gaps, unsupported conclusions, and data-quality issues

Collaborate remotely with other scientific contributors Requirements MS or PhD in Materials Science, Metallurgy, Mechanical Engineering, Chemical Engineering, or a related field

Skilled or research experience in materials science or engineering

Experience with materials characterisation methods such as microscopy, spectroscopy, or mechanical testing

Strong experience interpreting scientific data and technical literature

Ability to produce clear, accurate, and structured scientific explanations

📌 Materials Scientist / Engineer (AI Training Project) (India)
🏢 Gramian Consulting
📍 India

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