Hi, I’m Priyansh Jain. I’m an Applied AI Engineer and Code Evaluator with over a year of hands-on experience validating AI-generated code outputs, designing deterministic benchmarks, and building structured evaluation workflows. I excel at identifying edge cases, detecting subtle algorithmic issues, and providing precise, actionable feedback to improve training data quality. I have a solid foundation in Python, data structures, and algorithm analysis gained during my studies at IIT Jodhpur. I’m passionate about quality assurance in AI systems and enjoy architecting scalable validation pipelines and cross-functional review processes. My coursework covered data structures, algorithms, ML, and software engineering, and I’m eager to apply these skills to increasingly challenging AI evaluation and development projects.

Priyansh Jain

Hi, I’m Priyansh Jain. I’m an Applied AI Engineer and Code Evaluator with over a year of hands-on experience validating AI-generated code outputs, designing deterministic benchmarks, and building structured evaluation workflows. I excel at identifying edge cases, detecting subtle algorithmic issues, and providing precise, actionable feedback to improve training data quality. I have a solid foundation in Python, data structures, and algorithm analysis gained during my studies at IIT Jodhpur. I’m passionate about quality assurance in AI systems and enjoy architecting scalable validation pipelines and cross-functional review processes. My coursework covered data structures, algorithms, ML, and software engineering, and I’m eager to apply these skills to increasingly challenging AI evaluation and development projects.

Available to hire

Hi, I’m Priyansh Jain. I’m an Applied AI Engineer and Code Evaluator with over a year of hands-on experience validating AI-generated code outputs, designing deterministic benchmarks, and building structured evaluation workflows. I excel at identifying edge cases, detecting subtle algorithmic issues, and providing precise, actionable feedback to improve training data quality. I have a solid foundation in Python, data structures, and algorithm analysis gained during my studies at IIT Jodhpur.

I’m passionate about quality assurance in AI systems and enjoy architecting scalable validation pipelines and cross-functional review processes. My coursework covered data structures, algorithms, ML, and software engineering, and I’m eager to apply these skills to increasingly challenging AI evaluation and development projects.

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Experience Level

Expert
Expert
Expert
Expert
Expert

Language

English
Fluent

Work Experience

AI Code Evaluator & Output Annotator at Outlier AI
November 1, 2025 - January 1, 2026
Evaluated AI-generated code outputs across Python and SQL for algorithmic correctness, edge-case handling, and logical consistency across 100+ task batches per session. Documented failure modes with a structured severity taxonomy and applied multi-criteria QA rubrics to assess code quality, time/space complexity adherence, and constraint satisfaction; delivered detailed feedback to improve training data quality.
Technical Content Evaluator at Scaler
February 1, 2026 - March 1, 2026
Assessed AI-generated programming problems and solutions for factual accuracy, algorithmic soundness, and instructional clarity across large task volumes. Caught conceptual gaps in algorithmic explanations and edge-case failures in provided test cases; delivered actionable annotations per strict style guidelines; maintained zero-deviation quality standards in high-volume evaluation workflows.

Education

B.Sc. at Indian Institute of Technology Jodhpur
September 28, 2025 - June 15, 2029

Qualifications

Oracle Cloud Infrastructure — Data Science Professional
January 1, 2025 - October 1, 2026
Oracle Cloud Infrastructure — AI Foundations Associate
January 1, 2025 - May 2, 2026
Hacktoberfest 2025 Open Source Contributor
November 5, 2025 - May 2, 2026

Industry Experience

Software & Internet, Professional Services