Overview
Engineering & Computer Science Subject Matter Expert (Master / PhD) – AI Training & Content Development
Innodata is a global leader in data engineering and AI-powered solutions, partnering with leading technology companies and serving enterprise clients worldwide. The team focuses on ML, NLP, and Large Language Model development, combining domain expertise, advanced AI capabilities, and high-security infrastructure to build next-generation AI systems.
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, plus technical documentation and system architecture diagrams.
- Cover multiple domains, including :
- 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.).Strong knowledge of Software Development Practices (Agile, DevOps, CI / CD).Proven 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 languages.Knowledge of distributed systems, cloud computing, and cybersecurity fundamentals.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 a research-driven culture.Additional Information :
Candidates must complete an English Language Assessment.This step is mandatory and non-billable.Seniority level
AssociateEmployment type
Part-timeJob function
Accounting / Auditing and FinanceIndustries
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