PROJECT TITLE:

LLM Training & RLHF: Data Annotation for Business Intelligence

MY ROLE:

Senior AI Data Trainer & Strategic Annotator

PROJECT DESCRIPTION:

1. Objective: To improve the accuracy and professional tone of a Large Language Model (LLM).

2. The Process: Performed RLHF (Reinforcement Learning from Human Feedback) by ranking and scoring AI-generated responses based on factual accuracy, professional tone, and logical flow.

Conducted Multimodal Labeling to ensure the model correctly interpreted complex business data and sentiment.

Applied Linguistic Nuance to verify that localized responses were culturally appropriate and professional for the target market.

3. The Result: Contributed to a high-accuracy dataset that reduced model hallucinations.

SKILLS:

Data Annotation

Data Labeling

Business Analysis

Machine Learning

Reinforcement Learning