Technical Content Specialist

Há 10 horas

Recife, Brasil beBeeEngineering Tempo inteiro

Technical Content Specialist for AI/ML Training

We seek highly skilled professionals with exceptional technical expertise, research ability, and content creation skills to join our AI/LLM training team.

In this role, 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.

Main Responsibilities:

  • Create high-quality technical content including problem-solving exercises, theoretical and applied engineering summaries, software design patterns, coding best practices, algorithm explanations, and technical documentation.
  • Cover multiple domains: 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 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 core engineering principles, computer science concepts, software development practices.
  • Demonstrated expertise in technical writing, curriculum development, or advanced R&D projects.

Preferred Skills:

  • Familiarity with ML, NLP, and LLMs.
  • Hands-on experience with Python, C++, Java, or similar programming languages.
  • Knowledge of distributed systems, cloud computing, and cybersecurity fundamentals.

Benefits of Working with Us:

  • 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.

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