Arunachalam

Key Skills

Software

Mindrift

Other

Top Subject Matter

AI/LLM output evaluation

Python/SQL code

technical writing

Top Data Types

Image

Text

Document

Top Task Types

RLHF

Freelancer Overview

AI Data Annotator / Evaluator. Brings 5+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Mindrift and Other. Education includes Master of Science, VELS Institute of Science, Technology & Advanced Studies (2024) and Bachelor of Computer Applications, VELS Institute of Science, Technology & Advanced Studies (2022). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including RLHF, Evaluation, and Rating.

Labeling Experience

AI Data Annotator / Evaluator

MindriftRLHF

As an AI Data Annotator/Evaluator at Mindrift and Outlier, I evaluated and provided feedback on AI/LLM-generated outputs spanning code, text, and structured data. My work involved reinforcement learning from human feedback, annotation of programming code, content review, and image quality evaluation. I maintained consistency using detailed rubrics and flagging policy-violating outputs to ensure the integrity of model responses. • Evaluated Python and SQL code snippets for accuracy, style, and correctness. • Ranked, rated, and rewrote AI-generated responses as part of RLHF tasks. • Reviewed AI outputs across technical domains, including data pipelines and cloud concepts. • Performed image annotation and assessed image quality for photorealism and accuracy.

As an AI Data Annotator/Evaluator at Mindrift and Outlier, I evaluated and provided feedback on AI/LLM-generated outputs spanning code, text, and structured data. My work involved reinforcement learning from human feedback, annotation of programming code, content review, and image quality evaluation. I maintained consistency using detailed rubrics and flagging policy-violating outputs to ensure the integrity of model responses. • Evaluated Python and SQL code snippets for accuracy, style, and correctness. • Ranked, rated, and rewrote AI-generated responses as part of RLHF tasks. • Reviewed AI outputs across technical domains, including data pipelines and cloud concepts. • Performed image annotation and assessed image quality for photorealism and accuracy.

2025 - Present

Data Engineer (with AI Output Evaluation)

Other

While serving as a Data Engineer at YUKTRIX, I was responsible for reviewing and validating AI-assisted code contributing directly to model evaluation and improvement. I assessed data pipelines and code outputs for logic, quality, and schema adherence, focusing on structured and semi-structured data. I documented data quality issues and transformation edge cases to ensure model reliability and support annotation. • Validated AI-driven code and ensured production readiness for technical tasks. • Evaluated data sets for completeness and correctness within technical workflows. • Identified and documented edge cases for model and team reference. • Conducted evaluations using Linux and Docker environments for annotation tasks.

While serving as a Data Engineer at YUKTRIX, I was responsible for reviewing and validating AI-assisted code contributing directly to model evaluation and improvement. I assessed data pipelines and code outputs for logic, quality, and schema adherence, focusing on structured and semi-structured data. I documented data quality issues and transformation edge cases to ensure model reliability and support annotation. • Validated AI-driven code and ensured production readiness for technical tasks. • Evaluated data sets for completeness and correctness within technical workflows. • Identified and documented edge cases for model and team reference. • Conducted evaluations using Linux and Docker environments for annotation tasks.

2025 - 2026

Education

Work History