Key Responsibilities

• Create and curate high‑quality datasets (structured & unstructured) for AI/LLM training

• Generate synthetic data, prompts, and “golden answers”

• Evaluate AI‑generated outputs for quality, logic, and accuracy

• Review and improve evaluation rubrics and scoring criteria

• Rebuild and validate Python/Colab notebooks for data science problems

• Assess model‑generated code across multiple programming languages

• Review dashboards and data visualizations for correctness and insights

Required Skills

• Strong proficiency in Python (pandas, numpy, Jupyter/Colab)

• Solid foundation in Data Science, ML, and Statistics

• Experience with data visualization (matplotlib, plotly, etc.)

• Ability to evaluate complex AI outputs and analytical reasoning

• Experience with prompt engineering or AI evaluation is a plus

• Strong attention to detail and analytical thinking

Ideal Candidate

A versatile data scientist or AI specialist who enjoys both building and evaluating data, models, and code, and can work with precision in fast‑moving AI projects.

Experience: 4 to 8 years of professional experience in Data Analytics or a related technical field.

Education: Engineering background (B.E./B.Tech or equivalent).

Engineering background (B.E./B.Tech or equivalent)