Base: $25ph; bonus/equity: not specified; benefits...
Not specified
Python programming skills
Large language model apis
Nlp pipelines
The position of AI/ML Engineer for Assessment Systems at Northeastern University involves developing AI scoring systems to evaluate student transcripts using natural language processing and educational assessment methodologies. The role requires strong programming skills in Python and experience with large language model APIs, with a focus on creating scalable evaluation tools in collaboration with a research team
Job Summary
Develop, implement, and validate AI scoring systems that evaluate student transcripts using research-validated rubrics.
Compare AI ratings against human expert ground truth and identify systematic rating discrepancies to refine prompts/algorithms.
Northeastern has a comprehensive benefits package for benefit eligible employees, including medical, vision, dental, paid time off, and tuition assistance.
Matching Summary
Match Score: 85
The position of AI/ML Engineer for Assessment Systems at Northeastern University involves developing AI scoring systems to evaluate student transcripts using natural language processing and educational assessment methodologies. The role requires strong programming skills in Python and experience with large language model APIs, with a focus on creating scalable evaluation tools in collaboration with a research team.
Salary
Base: $25/hour; Bonus/Equity: Not specified; Benefits: Not specified
Skills & Requirements
Must-have
Python programming skills
large language model APIs
NLP pipelines
evaluation metrics
version control (Git)
Nice-to-have
prompt engineering and LLM optimization
retrieval-augmented generation (RAG) systems
bias detection and fairness metrics
Key Requirements
Graduate student or professional
Strong Python programming skills
Experience with large language model APIs
Demonstrated ability to design and implement NLP pipelines