100 Application(s)
46 Rejected
Applied AI Engineer Intern (PFE)
Topic: Evaluation and Optimization of AI-Powered Automated Grading Systems
Project applied to: GOMYTEACHER
Project Overview
With the increasing use of AI in educational assessment automated grading systems must ensure accuracy fairness and consistency across subjects and learner levels.
This internship aims to scientifically evaluate and improve the reliability of AI-powered grading systems used in GOMYTEACHER.
Main Objectives
Programming (Python / JavaScript)
Data Science
Cybersecurity
Math & logic
Theoretical vs practical assessments
GPT-4 / GPT-4o
Claude
Open-source models (Llama Mixtral)
Score accuracy
Feedback relevance
Consistency
Bias & variance
Hallucination rate
Prompt engineering
Rubric-based grading
Hybrid grading (AI rules human-in-the-loop)
Methodology
Expected Deliverables
Technical
Academic
Business Impact
Optional Extensions
How to apply
Please send your resume to
Required Experience:
Intern