Engineering & Computer Science Subject Matter Expert (Master/PHD)

Há 5 dias


Guarulhos, Brasil Innodata Inc. Tempo inteiro

Overview

Engineering & Computer Science Subject Matter Expert (Master/PhD) for AI Training & Content Development at Innodata.

Direct message the job poster from Innodata Inc.

Role Summary

We are seeking highly skilled Engineering & Computer Science Subject Matter Experts (SMEs) with exceptional technical expertise, research ability, and content creation skills to join our AI/LLM training team. You will design, curate, and review technical content that enhances AI’s understanding of engineering disciplines, computing systems, algorithms, software engineering principles, and applied technologies. Your expertise will shape how AI systems reason about, solve, and communicate engineering and computer science concepts.

Key Responsibilities
  • Content Development
  • Create high-quality technical content, including:
  • Problem-solving exercises and step-by-step solutions
  • Theoretical and applied engineering summaries
  • Software design patterns, coding best practices, and algorithm explanations
  • Technical documentation, system architecture diagrams, and engineering principles
  • Cover multiple domains, including (but not limited to):
  • Engineering: Electrical, Mechanical, Civil, Industrial, Systems, and Robotics
  • Computer Science: Data Structures, Algorithms, Operating Systems, Computer Architecture, Cybersecurity, and AI/ML
  • Software Engineering: Full-stack development, DevOps, Cloud Computing, Databases, and Distributed Systems
  • Review AI-generated responses to complex technical questions for accuracy and completeness
  • Identify and correct conceptual gaps, computational errors, and ambiguous phrasing
  • Develop evaluation rubrics to improve reasoning and problem-solving capabilities in AI
  • 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
  • Support AI ethics and safety efforts to ensure responsible deployment of technical knowledge
Eligibility Criteria
  • Master’s or PhD in Engineering, Computer Science, Software Engineering, or related STEM field
  • Strong foundation in:
  • Computer Science Concepts (Algorithms, Data Structures, Computational Complexity, etc.)
  • Software Development Practices (Agile, DevOps, CI/CD)
  • Demonstrated expertise in technical writing, curriculum development, or advanced R&D projects
Preferred Skills
  • Familiarity with ML, NLP, and LLMs (a plus)
  • Hands-on experience with Python, C++, Java or similar
  • Knowledge of distributed systems, cloud computing, and cybersecurity fundamentals
  • Strong ability to simplify complex concepts for varied audiences
Why Join Innodata?
  • Influence AI reasoning in engineering and computing at a global scale
  • Work with world-class researchers, linguists, and technologists
  • Contribute to cutting-edge AI development shaping industries worldwide
  • Remote-first, flexible work arrangements and research-driven culture
Additional Information
  • Candidates must complete an English Language Assessment
  • This step is mandatory and non-billable.
Seniority level
  • Associate
Employment type
  • Part-time
Job function
  • Accounting/Auditing and Finance
  • Industries: IT Services and IT Consulting

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