Annotate chat data from sales-dealers and customers to train AI chatbots
Develop and refine prompts and Retrieval-Augmented Generation (RAG) technique cvg cant es to enhance the performance of zero-shot and few-shot language models (LLMs)
Assess the needs of dealers and customers, and implement AI chatbot functionalities to address those needs
QA and improve our live audio call AI agent

Requirements

Pursuing a Bachelor’s degree in Computer Science or a related field, pursuing a M.S in Computer Science or a related field preferred
Coursework or experience in Data Structures, Algorithms, Linear Algebra, Probability, and foundational Machine Learning and Artificial Intelligence concepts
Familiarity with Python and its data analysis libraries
Strong grasp of core CS and ML concepts
Interview process will include questions on coursework, coding, probability, machine learning, and Linux fundamentals
Able to work 40/hours a week from May-December in our Boston office ( 3 days/week)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonData StructuresAlgorithmsLinear AlgebraProbabilityMachine LearningArtificial IntelligenceRetrieval-Augmented Generationzero-shot learningfew-shot learning

Certifications

Bachelor’s degree in Computer ScienceM.S in Computer Science