Ansh Jain

Key Skills

Software

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Top Label Types

Point Key Point

Fine Tuning

Prompt Response Writing SFT

Freelancer Overview

I am an Associate Software Engineer with hands-on experience in analyzing and preparing large-scale datasets across healthcare and energy domains. My background includes cleaning, structuring, and validating high-volume data using Python, SQL, and machine learning tools, ensuring data quality and reliability for critical business insights. I have managed automated data pipelines, conducted anomaly detection in multi-cloud environments (AWS, Azure), and developed technical documentation to streamline data workflows. With a strong foundation in data management, annotation, and reporting, I am eager to apply my analytical skills and technical expertise to support the development of accurate and robust AI training data in dynamic, data-driven teams.

Labeling Experience

Outlier Ai

Scale AIComputer Code ProgrammingPoint Key PointFine Tuning

1. Rubric design, System Prompt development, and agent/tool-call evaluations & Quality Assurance Conducted rigorous evaluations of AI-generated responses for RLHF tasks, ensuring adherence to strict guidelines. Provided detailed feedback on accuracy, instruction compliance, and reasoning errors, enhancing the reliability and performance of AI models. 2. Prompt Engineering & Adversarial Testing Designed and optimized complex logic-based prompts to assess AI reasoning capabilities, leveraging the STIRR methodology. Performed adversarial testing to identify and rectify reasoning flaws, improving model alignment with factual correctness and user intent. 3. Code Review & Debugging for AI Systems Reviewed and debugged Python and React codebases, identifying logic errors and optimizing workflows in AI-powered applications. Ensured backend API integrity and enhanced code efficiency, contributing to high-quality, production-ready AI solutions.

1. Rubric design, System Prompt development, and agent/tool-call evaluations & Quality Assurance Conducted rigorous evaluations of AI-generated responses for RLHF tasks, ensuring adherence to strict guidelines. Provided detailed feedback on accuracy, instruction compliance, and reasoning errors, enhancing the reliability and performance of AI models. 2. Prompt Engineering & Adversarial Testing Designed and optimized complex logic-based prompts to assess AI reasoning capabilities, leveraging the STIRR methodology. Performed adversarial testing to identify and rectify reasoning flaws, improving model alignment with factual correctness and user intent. 3. Code Review & Debugging for AI Systems Reviewed and debugged Python and React codebases, identifying logic errors and optimizing workflows in AI-powered applications. Ensured backend API integrity and enhanced code efficiency, contributing to high-quality, production-ready AI solutions.

2024 - 2025

Education

Work History