Engineering Specialist - AI Tutor Tech Company Logo

Engineering Specialist - AI Tutor

📊AI / Data Scientist
🏢 Remote
💼Full time
🗓️Almost Gone

Job Description

Job Title: Engineering Specialist - AI Tutor

Job Type: Contract

Location: Remote


About Us:

At micro1, we’re all about connecting skilled remote professionals with some of the best companies in Silicon Valley. Our mission is to offer a stable, competitive income, along with access to top industry opportunities—all in a flexible work setting with a range of great benefits. We’re here to help you grow in your career. We're proud to work with trusted partners such as Deel, Immutable, O’Gara, and LegalSoft.


Job Summary:

Join micro1 as an Engineering Specialist - AI Tutor, where you will play a crucial role in mentoring AI systems to understand and apply advanced engineering concepts. This remote position offers you the opportunity to work closely with cross-functional teams, ensuring the precision and reliability of AI-generated engineering content. This role is available on a full-time or part-time basis, offering the flexibility to match your schedule.


Key Responsibilities:

  • Input and label engineering data using proprietary software, ensuring accuracy in areas such as structural, electrical, mechanical, or civil engineering.
  • Curate precise data with detailed engineering terminology, focusing on design specifications, process optimizations, and problem-solving methodologies.
  • Collaborate with cross-functional engineering teams to identify challenges and improve data annotation workflows.
  • Review and provide feedback on AI-generated engineering content, ensuring it reflects real-world applications and technical standards.
  • Maintain detailed and organized records of data input and labeling processes.
  • Utilize Innovation and Design Thinking to enhance the AI's learning and problem-solving capabilities.
  • Ensure high standards of quality assurance in all engineering data and AI interactions.


Required Skills and Qualifications:

  • Advanced degree in an engineering discipline (e.g., Electrical, Mechanical, Civil, or Computer Engineering).
  • Expertise in engineering concepts, including system design, modeling, and analysis techniques.
  • Ability to apply engineering terminology accurately in data labeling and ensure alignment with industry standards.
  • Strong understanding of engineering research and problem-solving techniques.
  • Detail-oriented with a focus on data integrity and accuracy.
  • Proficiency in English and specialized engineering vocabulary.
  • Excellent written and verbal communication skills, with a keen attention to detail.


Preferred Qualifications:

  • Experience in working with AI or machine learning technologies.
  • Background in quality assurance and data validation processes.