Data Scientist - AI Training & Evaluation

Responsibilities

• Evaluate AI model outputs for accuracy and statistical soundness
• Design and apply data-driven evaluation criteria and scoring rubrics
• Create high-quality training data and provide structured feedback to improve model performance

Qualifications

• Degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field (MS or PhD preferred)
• Strong foundation in statistics, probability, and machine learning concepts
• Proficiency in Python, R, SQL, or similar data analysis tools
• Experience with data wrangling, exploratory data analysis, and model evaluation
• Self-motivated and comfortable working independently