Key Skills

Software

Labelbox

Other

Top Subject Matter

Natural Language Processing

Content Moderation

Chatbot Domain Expertise

Top Data Types

Text

Image

Top Task Types

Classification

Prompt + Response Writing (SFT)

Freelancer Overview

Data Labeling & AI Training Support. Core strengths include Labelbox and Other. AI-training focus includes data types such as Text and labeling workflows including Classification and Prompt + Response Writing (SFT).

Labeling Experience

AI Prompt Engineering & Supervised Fine-Tuning

OtherTextPrompt Response Writing SFT

I designed and tested prompts to enhance chatbot and AI system responses. The tasks involved analyzing AI output, refining prompts for greater accuracy, and supporting supervised fine-tuning workflows. My work contributed to improved natural language understanding and model clarity. • Constructed prompts and evaluated LLM (Large Language Model) responses • Iteratively improved prompt quality for better AI performance • Maintained documentation of prompt changes and results • Supported overall supervised fine-tuning (SFT) of language models

I designed and tested prompts to enhance chatbot and AI system responses. The tasks involved analyzing AI output, refining prompts for greater accuracy, and supporting supervised fine-tuning workflows. My work contributed to improved natural language understanding and model clarity. • Constructed prompts and evaluated LLM (Large Language Model) responses • Iteratively improved prompt quality for better AI performance • Maintained documentation of prompt changes and results • Supported overall supervised fine-tuning (SFT) of language models

Present

Data Labeling & AI Training Support

LabelboxTextClassification

I labeled and categorized various datasets to support training of machine learning and natural language processing models. My responsibilities included following detailed annotation guidelines to maintain accuracy and consistency across labeled data. Additionally, I evaluated AI-generated responses and performed quality assurance to improve model reliability. • Applied detailed tagging and categorization to text datasets • Evaluated and rated AI-generated output for accuracy and compliance • Identified edge cases and flagged inconsistencies for model improvement • Collaborated with quality assurance teams to uphold data standards

I labeled and categorized various datasets to support training of machine learning and natural language processing models. My responsibilities included following detailed annotation guidelines to maintain accuracy and consistency across labeled data. Additionally, I evaluated AI-generated responses and performed quality assurance to improve model reliability. • Applied detailed tagging and categorization to text datasets • Evaluated and rated AI-generated output for accuracy and compliance • Identified edge cases and flagged inconsistencies for model improvement • Collaborated with quality assurance teams to uphold data standards

Present

Education

Work History