Materials Scientist (Remote) Contract

What You'll Do5

• Create prompts and gold-standard materials science answers across metals, ceramics, polymers, composites, phase diagrams, heat treatment, and mechanical testing using dedicated tools and datasets.
• Evaluate and rank AI-generated materials science outputs for accuracy, engineering logic, and terminology to enhance prompt-driven results.
• Identify and flag misleading material properties, incorrect processing claims, flawed microstructure reasoning, and unsafe design recommendations in AI outputs.
• Rewrite and model high-quality materials science explanations that demonstrate best practices in structure-property reasoning and microstructure analysis.
• Rate and compare multiple AI responses for correctness and overall quality, documenting the rationale for selection.

Requirements8

• Bachelor’s degree or higher in Materials Science, Materials Engineering, Mechanical Engineering, Chemical Engineering, Metallurgy, Polymer Science, Nanotechnology, or a related field or equivalent experience.
• 3+ years in materials science research, engineering, laboratory work, or related technical roles.
• Strong English proficiency (C1+).
• Deep understanding of structure-property relationships, phase diagrams, mechanical behavior, heat treatment, polymers, ceramics, metals, composites, and characterization techniques.
• Ability to assess materials explanations, diagrams, and experimental interpretations for accuracy and clarity.
• Attention to detail in reviewing units, terminology, test methods, processing conditions, and design tradeoffs.
• Reliable, self-directed, hourly remote contractor capable of working across time zones.
• Prior experience with AI data training, scientific QA, or rubric-based evaluation is highly preferred.

Who Should Apply

Ideal candidates are seasoned materials scientists or engineers who excel at precise scientific evaluation, rewrite quality, and clear written feedback. They should be comfortable working remotely on an hourly contract and able to review AI-generated content for accuracy. The role may be less suitable for someone without hands-on materials science experience or without strong English writing skills. Candidates who struggle with technical terminology or identifying inconsistencies in phase diagrams or microstructure analysis may score lower.

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