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AI Technical Content Specialist - STEM

  • Source: LinkedIn
  • Aston Carter
  • Remote
  • New York City
  • Senior

Job Description

Job Title: AI Technical Content Specialist - STEM Job Description This role offers an opportunity for an experienced engineer or applied science professional to use their real-world technical expertise to train and improve advanced AI systems. You will review AI-generated responses to complex science and engineering prompts, identify errors in reasoning and calculations, design realistic technical problems from your own experience, and write clear, expert-level solutions that serve as training data. This is a fully remote, project-based position focused on rigorous technical analysis, precise written communication, and independent, self-directed work over a 12-week engagement. Responsibilities

  • Review and evaluate AI-generated responses involving scientific reasoning, engineering analysis, calculations, experimental design, and technical explanations for correctness, completeness, and rigor.
  • Identify factual errors, flawed assumptions, statistical traps, measurement issues, and incomplete or inconsistent reasoning in AI-generated content.
  • Design realistic, challenging technical problems and scenarios based on your professional mechanical engineering or broader applied science and engineering experience.
  • Write clear, technically rigorous, expert-level solutions and explanations that can be used as high-quality AI training examples.
  • Grade AI-generated work against detailed evaluation criteria and rubrics, assessing accuracy, clarity, and adherence to technical standards.
  • Flag errors, ambiguous statements, and flawed reasoning in model outputs and provide specific, constructive corrective feedback and guidance.
  • Run assigned tasks through AI models, review outputs, and iteratively revise work based on feedback from expert reviewers.
  • Follow detailed written instructions precisely, including documentation standards, formatting rules, and file-upload requirements.
  • Maintain consistent quality, accuracy, and productivity throughout the engagement, meeting throughput expectations over the 12-week period.
  • Complete long-form, independent assignments that may require several hours of focused, uninterrupted work.
  • Work with real-world technical data such as test and measurement datasets, instrument outputs, and engineering design or simulation files as needed for problem creation and solution development.
  • Use data analysis, data visualization, predictive modeling, and quality engineering practices where relevant to evaluate or construct technical examples.

Essential Skills

  • At least 5+ years of applied science or engineering experience in industry or advanced research, such as mechanical, electrical, civil, materials, energy, chemical, environmental, physics, or similar fields, excluding undergraduate study.
  • Hands-on practitioner experience, currently or recently performing detailed individual-contributor work rather than working solely in a managerial capacity.
  • Strong background in mechanical engineering, mechanical design, or closely related engineering disciplines, with the ability to perform rigorous technical analysis and calculations.
  • Experience with experimental design, including planning, executing, and interpreting experiments or tests.
  • Proficiency in data analysis, including working with test and measurement data, instrument outputs, and other real-world technical datasets.
  • Comfort using the analysis tools and software commonly used in your engineering or scientific field.
  • Strong technical writing skills, with the ability to explain complex engineering and scientific concepts clearly, concisely, and accurately.
  • Ability to read and follow detailed written instructions carefully and consistently.
  • Receptiveness to feedback and willingness to revise work through multiple review cycles.
  • Baseline technology literacy, including comfort with cloud-based file tools such as Google Workspace or similar platforms.
  • Ability to manage browser profiles, download and install desktop applications, and handle everyday file operations such as converting between Excel and Google Sheets and creating compressed (zipped) files for sharing.
  • Ability to work independently and effectively in a remote, self-directed environment.
  • Availability to commit approximately 30–40 hours per week over the full 12-week engagement.
  • Current residence within the United States.

Additional Skills & Qualifications

  • Advanced degree in a relevant engineerin…

Skills

  • google-workspace
  • workspace
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