The work
You will help improve AI systems that answer materials science questions. The work combines technical writing, model evaluation, fact-checking, and detailed feedback.
- Write prompts and accurate reference answers for materials science topics.
- Review, rank, and explain the quality of AI-generated answers.
- Check scientific accuracy, engineering reasoning, terminology, clarity, units, physical plausibility, and relevance.
- Assess microstructure and property relationships, experimental interpretations, and technical recommendations.
- Identify incorrect material properties, flawed processing advice, incorrect diagrams, unsafe design assumptions, unsupported performance claims, and overconfident conclusions.
- Write technically accurate rewrites and model answers while applying review guidelines consistently.
What it pays and takes
- Pay: $30 to $95 per hour.
- Time: 20 or more hours per week.
- Work setup: Remote, with reliable and self-directed collaboration across time zones.
- Open to candidates in Australia, Austria, Belgium, Canada, Denmark, Finland, France, Germany, Gibraltar, Greece, Iceland, Ireland, Italy, Liechtenstein, Luxembourg, Malta, Monaco, New Zealand, Norway, Portugal, San Marino, Spain, Sweden, Switzerland, the United Kingdom, the United States, and the Netherlands.
- Language: Professional fluency in English.
- Experience level: Entry level.
- Education: A 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.
- Experience: At least three years in research, engineering, laboratory work, manufacturing, teaching, technical writing, academic review, or related scientific or engineering work.
- Knowledge: Structure-property relationships, crystal structures, phase diagrams, mechanical behavior, heat treatment, polymers, ceramics, metals, composites, corrosion, and characterization techniques.
- Skills: Strong technical judgment, careful attention to detail, and the ability to follow detailed guidelines consistently.
- Preferred: Experience with AI training, scientific or engineering quality assurance, technical content review, or rubric-based evaluation.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
AI training is the human work behind systems that generate and evaluate answers. People review model outputs, create reliable examples, and give precise feedback so AI systems become more accurate and useful; specialized knowledge is valuable because it helps assess difficult technical content.