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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than 6,500 people supporting the three main missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of more than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries.

AI Engineer for Educational Assessment & Feedback

About the position

Traditional evaluation and assessment practices in higher education are being transformed by artificial intelligence. At EPFL, we are developing AI-powered tools that support instructors in evaluating student work while enabling students to receive timely, personalized feedback at scale.

We are seeking an AI Engineer for Educational Assessment & Feedback to design, develop, and deploy AI systems that enhance how we assess learning. Working with Large Language Models hosted on EPFL's secure infrastructure, you'll create innovative solutions to assist grading hand-written exams, evaluating project work, and providing automated feedback.

 

Our infrastructure includes:

  • Graph AI Platform: Knowledge graph, semantic search, and RAG construction

  • RCP Computational Infrastructure: GPU clusters, local LLMs, specialized AI services

  • Intelligent Agents Framework: Orchestration layer for chatbots and AI applications

  • Production Applications: 20+ AI tutors and chatbots, analytics tools, search engines

You'll extend this ecosystem specifically for assessment and feedback use cases, ensuring educational data remains secure while providing powerful evaluation capabilities to instructors.

Mission

You will develop AI applications that transform assessment practices at EPFL. You'll build tools that help instructors adopt alternative assessment methods and provide richer feedback. Your work will directly contribute to deeper learning, authentic evaluation, and challenge-based education.

Main duties and responsibilities

1. AI-Assisted Grading Systems (60%)

Traditional Hand-Written Exams

  • Implement pre-processing to speed up grading while maintaining instructor control

  • Enable more complex hand-written responses beyond multiple-choice questions

Quality & Reliability

  • Minimize biases in grading suggestions across student populations

  • Implement confidence scoring and human-in-the-loop validation

Authentic Evaluation Support

  • Design systems that transform project reports into personalized exams

  • Generate exam questions based on student work and learning objectives

  • Develop tools to help instructors create rubrics and evaluation criteria

2. Personalized Feedback Systems (40%)

  • Extend grading technologies to provide direct feedback to students

  • Integrate with Exoset (exercise repository) for automated hints and guidance

  • Connect with chatbot infrastructure for conversational feedback

Profile

Education & Experience

  • Master's degree in Computer Science, Machine Learning, AI, or related field

  • 2-3 years of professional experience in ML/AI application development

  • Strong background in Large Language Models

Technical Skills

  • Expert in Python programming and ML frameworks

  • LLM application development: RAG systems, prompt engineering, fine-tuning

  • Computer Vision/OCR: Experience with handwriting recognition or document processing

  • API development and data engineering experience

  • Familiarity with vector databases and semantic search

Desired Qualifications

  • Experience in educational technology or learning analytics

  • Knowledge of educational assessment theory and practices

  • Background in AI ethics and responsible AI development

We offer

Professional Environment

  • Work at the intersection of AI and education at a world-leading technical university

  • Collaborate with AI & Education specialists from the Center for Learning Sciences (LEARN)

  • Access to EPFL's secure on-premise AI infrastructure (RCP GPU clusters, local LLMs)

  • Direct impact on teaching and learning for 13,000+ students

Technical Resources

  • State-of-the-art GPU computing infrastructure

  • Access to latest open-weight models and commercial APIs for development

  • Integration with established platforms (Graph AI, Intelligent Agents, chatbot framework)

Development Opportunities

  • Continuous learning environment with access to courses and training

  • Work on cutting-edge applications of LLMs in education

  • Contribute to open-source educational AI tools

Informations

Contract Start Date :  

Activity Rate Min : 80.00 

Activity Rate Max : 100.00 

Contract Type: CDD

Duration: 1 year 

Reference: 2095 










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