F Rabbi

Key Skills

Software

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Label Types

RLHF

Evaluation Rating

Prompt Response Writing SFT

Freelancer Overview

I am an experienced AI trainer and data annotator with a strong background in supporting large language model (LLM) development through high-quality data labeling and prompt engineering. At Outlier.ai, I have contributed to over 10 projects, annotating code, mathematics, and reasoning tasks, and evaluating AI-generated outputs for accuracy, clarity, and safety. My expertise in C/C++, Python, and Java, combined with solid foundations in data structures, algorithms, and competitive programming, enables me to validate challenging coding prompts and ensure precise, reliable training data. I am passionate about leveraging my technical and analytical skills to improve AI model performance and contribute to innovative projects in the field.

Labeling Experience

AI Trainer & Data Annotator

Scale AITextRLHFEvaluation Rating

As a freelance AI Trainer and Data Annotator at Outlier.ai, I contributed to the development and evaluation of large language models through high-quality text annotation. My tasks included evaluating, ranking, and annotating AI-generated outputs to improve model reliability. I leveraged coding expertise to validate challenging prompts and ensure data integrity. • Annotated and evaluated code, mathematics, and reasoning tasks directly impacting AI model accuracy. • Ranked AI outputs for correctness, clarity, and safety across various projects. • Validated and generated programming prompts and solutions using algorithmic knowledge. • Collaborated remotely to support multiple long-term data annotation initiatives.

As a freelance AI Trainer and Data Annotator at Outlier.ai, I contributed to the development and evaluation of large language models through high-quality text annotation. My tasks included evaluating, ranking, and annotating AI-generated outputs to improve model reliability. I leveraged coding expertise to validate challenging prompts and ensure data integrity. • Annotated and evaluated code, mathematics, and reasoning tasks directly impacting AI model accuracy. • Ranked AI outputs for correctness, clarity, and safety across various projects. • Validated and generated programming prompts and solutions using algorithmic knowledge. • Collaborated remotely to support multiple long-term data annotation initiatives.

2023

Education

Work History