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

buscojobs Brasil; Amazonas; Teletrabalho; BRL 424.000 - 637.000; Tempo integral

Resumo da oferta

A leading data engineering firm is seeking an Engineering & Computer Science Subject Matter Expert for AI training and content development. The role involves creating technical content, model evaluation, and collaborating with engineers. Candidates should have a Master’s or PhD in a relevant field and expertise in technical writing. The position offers remote-first, flexible working arrangements.

Serviços

Flexible work arrangements

Work with world-class researchers

Influence AI development globally

Qualificações

• Master’s or PhD in Engineering, Computer Science, Software Engineering, or related STEM field.
• Demonstrated expertise in technical writing or curriculum development.

Responsabilidades

• Create high-quality technical content across multiple engineering and computer science domains.
• Review AI-generated responses for accuracy and completeness.
• Collaborate with engineers and researchers to refine datasets.

Conhecimentos

Strong foundations in Core Engineering Principles

Computer Science Concepts

Technical writing

Simplifying complex concepts

Formação académica

Master’s or PhD in Engineering or Computer Science

Ferramentas

Python

C++

Java

Descrição da oferta de emprego

Overview

Job Title: Engineering & Computer Science Subject Matter Expert – AI Training & Content Development

About Innodata

Innodata (NASDAQ: INOD) is a global leader in data engineering and AI-powered solutions, partnering with 4 of the world’s top 5 technology companies and serving over 2,000 enterprise clients worldwide. With a workforce of 5,000+ subject matter experts and operations in 13 cities globally, Innodata is at the forefront of Machine Learning (ML), Natural Language Processing (NLP), and Large Language Model (LLM) development.

We combine deep domain expertise, advanced AI / ML capabilities, and high-security infrastructure to build next-generation AI systems that are more intelligent, context-aware, and safe.

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.

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.
• 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 foundations in:
• Core Engineering Principles (Mechanical, Electrical, Civil, Systems, etc.)
• 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 programming languages.
• 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.