Manikanta Siddhartha Bairi

Key Skills

Software

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Task Types

Question Answering

Text Generation

Evaluation/Rating

Computer Programming/Coding

Prompt + Response Writing (SFT)

Freelancer Overview

I am a detail-oriented and adaptable data annotation professional with hands-on experience in image, text, and document labeling, as well as data categorization and quality evaluation. At Soul AI, I have consistently delivered accurate and consistent results by following project guidelines and meeting productivity targets. My background in Electrical & Electronics Engineering, combined with practical skills in Python for basic automation and data processing, allows me to quickly adapt to new annotation platforms and tasks. I am proficient in tools like Google Workspace, MS Office, and various web research and annotation platforms. My experience includes working on research-based projects, and I am particularly interested in domains such as energy, power, and utilities. I pride myself on my strong analytical thinking, time management, and ability to ensure high-quality, reliable training data for AI and machine learning applications.

Labeling Experience

Prompt- Response Evaluation for LLM Fine-Tuning

Scale AITextQuestion AnsweringText Generation

I participated in a text-based AI training project on the Outlier platform focused on LLM prompt–response evaluation. My role involved reviewing and rating AI-generated responses based on clarity, accuracy, relevance, and overall helpfulness. I also selected preferred completions, flagged unsafe content, and provided improvement suggestions when required. The project followed strict quality guidelines, and I consistently maintained high accuracy and adherence to instructions. This work helped improve the performance and safety of large language models by providing valuable human feedback. The tasks were completed using Outlier’s custom web-based labeling interface.

I participated in a text-based AI training project on the Outlier platform focused on LLM prompt–response evaluation. My role involved reviewing and rating AI-generated responses based on clarity, accuracy, relevance, and overall helpfulness. I also selected preferred completions, flagged unsafe content, and provided improvement suggestions when required. The project followed strict quality guidelines, and I consistently maintained high accuracy and adherence to instructions. This work helped improve the performance and safety of large language models by providing valuable human feedback. The tasks were completed using Outlier’s custom web-based labeling interface.

2025 - 2025

Education

Work History