Ai/ml Engineer For Assessment Systems

research.northeastern.edu

Not specified
Base: $25ph; bonus/equity: not specified; benefits...
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Python programming skills
Large language model apis
Nlp pipelines
** Northeastern University is seeking an AI/ML Engineer to develop and validate AI scoring systems for educational assessments, leveraging natural language processing and prompt engineering methodologies. The role involves close collaboration with research teams to ensure AI systems align with expert evaluations and includes responsibilities such as designing AI architectures, implementing scoring systems, and conducting bias audits. **

Job Summary

  • You will develop, implement, and validate AI scoring systems that evaluate student transcripts using research-validated rubrics.
  • This role combines natural language processing, prompt engineering, and educational assessment methodology to create scalable evaluation tools.
  • Northeastern has a comprehensive benefits package for benefit eligible employees.

Matching Summary

Match Score: 75

** Northeastern University is seeking an AI/ML Engineer to develop and validate AI scoring systems for educational assessments, leveraging natural language processing and prompt engineering methodologies. The role involves close collaboration with research teams to ensure AI systems align with expert evaluations and includes responsibilities such as designing AI architectures, implementing scoring systems, and conducting bias audits. **

Salary

Base: $25/hour; Bonus/Equity: Not specified; Benefits: Comprehensive benefits package for benefit eligible employees

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
  • Educational assessment or psychometrics
  • Inter-annotator agreement statistics
  • 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
  • Understanding of evaluation metrics
  • Experience with version control (Git)

Work Rights

Not specified

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