The company is looking to enhance AI models to ensure precision and reliability in STEM content generation.
Requirements
- Proficiency in data querying languages like SQL and scripting languages such as Python.
- Experience with machine learning and statistical modeling data analysis tools and techniques.
- Strong programming skills in Python, particularly with data analysis libraries like NumPy, Pandas, and SciPy.
- Experience in evaluating AI/ML systems, especially in STEM applications.
- Background in developing and implementing machine learning models.
- Understanding of machine learning concepts related to natural language and image processing.
- Familiarity with deep learning frameworks such as PyTorch and version control systems like Git.
Responsibilities
- Assess and improve the quality of STEM content across various disciplines, including mathematics, biology, physics, and chemistry.
- Benchmark the performance of AI models against human-generated data to ensure accuracy.
- Collaborate with AI researchers to identify opportunities for optimization and boost model accuracy.
- Conduct thorough analyses of human audit data to uncover patterns and areas for enhancement.
Other
- Bachelor's or Master's degree in Data Science, Computer Science, STEM, Mathematics, or a related field.
- Strong analytical and problem-solving skills.
