
Leading AI Research Engineer
Há 21 horas
As an Engineering & Computer Science Subject Matter Expert, you will play a crucial role in shaping AI systems that understand and reason about engineering disciplines and computer science concepts.
Key Responsibilities:
- Design, curate, and review technical content to enhance AI's understanding of core engineering principles, computer science concepts, and software development practices.
- Create high-quality technical content, including problem-solving exercises, theoretical and applied engineering summaries, software design patterns, coding best practices, and algorithm explanations.
- Cover multiple domains, including electrical, mechanical, civil, industrial, systems, robotics, data structures, algorithms, operating systems, computer architecture, cybersecurity, and full-stack development.
Model Evaluation & AI Training:
- Review AI-generated responses to complex technical questions for accuracy and completeness.
- Identify and correct conceptual gaps, computational errors, and ambiguous phrasing.
Research & Technical Collaboration:
- Collaborate with engineers, computational linguists, and AI researchers to refine datasets and model performance.
- Contribute insights on systems engineering principles, optimization, and software development lifecycles.
Eligibility Criteria:
- Master's or PhD in Engineering, Computer Science, Software Engineering, or related STEM field.
- Strong foundation in core engineering principles, computer science concepts, and software development practices.
- Demonstrated expertise in technical writing, curriculum development, or advanced R&D projects.
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