Materials Scientist

SME Careers; Germany; Remote; EUR 55,000 - 99,000; Part time

Benefits offered by this job

Remote contractor role

Flexible hours

Job summary

SME Careers is seeking a Materials Science Expert (SME) for an hourly, remote contractor role. You will review AI-generated materials science content and create high-quality reference material, evaluating accuracy, terminology, and step-by-step explanations while providing precise feedback.

You will assess outputs for correctness, unit consistency, microstructure-property reasoning, and experimental context; identify errors in crystal structures, phase diagrams, and materials like metals,

Qualifications

• Bachelor's degree or higher in Materials Science, Materials Engineering, or related field is required or equivalent professional experience.
• Strong English, C1, with ability to provide detailed feedback in English.
• 3+ years of materials science research, engineering, or related work.
• Ability to evaluate structure–property relationships, crystal structures, phase diagrams, and characterization techniques.

Responsibilities

• Develop AI training content and prompts across metals, ceramics, polymers, composites, phase diagrams, and more.
• Evaluate and rank AI outputs to improve scientific accuracy and clarity.
• Detect misleading claims and validate reliability across materials science use cases.

Skills

Materials science

English proficiency

Technical writing

Quality assurance

Education

Bachelor's degree or higher in Materials Science or related field

Job description

In this hourly, remote contractor role, you will work as a Materials Science Expert (SME) to review AI-generated materials science content and/or create high-quality materials science reference content, evaluating scientific accuracy, engineering reasoning, terminology, and step-by-step explanations while providing precise written feedback. You will assess outputs for correctness, clarity, physical plausibility, unit consistency, microstructure-property reasoning, experimental context, and adherence to the prompt; identify errors in crystal structure, phase diagrams, mechanical properties, polymers, ceramics, metals, composites, nanomaterials, processing methods, and characterization; fact-check claims when needed; write high-quality rewrites and model answers that demonstrate best practices in materials science explanation; and rate and compare multiple AI responses based on correctness and overall quality.

This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world's largest AI companies and foundation-model labs. Your materials science expertise directly helps improve the world's premier AI models by making their materials, engineering, and applied-science outputs more accurate, practical, and clearly explained.

Key Responsibilities

• Develop AI Training Content: Create prompts and gold-standard materials science answers across topics such as metals, ceramics, polymers, composites, phase diagrams, heat treatment, mechanical testing, corrosion, nanomaterials, and characterization.
• Optimize AI Performance: Evaluate and rank AI outputs to improve scientific accuracy, engineering logic, terminology, structure-property reasoning, clarity, and relevance to the user’s prompt.
• Ensure Model Integrity: Detect misleading materials claims, hallucinated properties, flawed processing recommendations, incorrect diagrams, unsafe design assumptions, and overconfident interpretations; validate reliability across materials science use cases.

Your Profile

• Bachelor's degree or higher in Materials Science, Materials Engineering, Mechanical Engineering, Chemical Engineering, Metallurgy, Polymer Science, Nanotechnology, or a related field, or equivalent professional experience.
• Strong professional proficiency in English, minimum C1, to follow guidelines and provide detailed feedback in English.
• 3+ years of experience in materials science research, materials engineering, laboratory work, manufacturing, teaching, technical writing, academic review, or related scientific/engineering work.
• Deep understanding of structure-property relationships, crystal structures, phase diagrams, mechanical behavior, heat treatment, polymers, ceramics, metals, composites, corrosion, and characterization techniques.
• Ability to evaluate materials explanations, calculations, diagrams, experimental interpretations, and engineering recommendations for accuracy and clarity.
• Comfortable identifying hallucinated material properties, incorrect processing claims, flawed microstructure reasoning, unsafe engineering suggestions, or unsupported performance claims.
• High attention to detail when reviewing units, material terminology, test methods, process conditions, assumptions, and design tradeoffs.
• Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones.
• Prior experience with AI data training/annotation, scientific QA, engineering QA, academic QA, technical content review, or rubric-based evaluation is strongly preferred.