Gen L.

Key Skills

Software

Scale AI

Other

Top Subject Matter

Conversational AI

Language Models

AI Model Safety

Top Data Types

Text

Top Task Types

RLHF

Red Teaming

Entity (NER) Classification

Freelancer Overview

LLM RLHF Training Data Production. Core strengths include Internal, Proprietary Tooling, and Scale AI. Education includes Bachelor of Science, University Name (2022). AI-training focus includes data types such as Text and labeling workflows including RLHF, Red Teaming, and Entity (NER) Classification.

Labeling Experience

LLM RLHF Training Data Production

TextRLHF

I produced over 50,000 preference pairs for reinforcement learning from human feedback (RLHF) training, directly enhancing large language model performance. I designed comprehensive annotation guidelines which improved labeling consistency significantly across the project. My work involved close collaboration with machine learning engineers while ensuring the highest accuracy in labeled data. • RLHF training data generation for conversational AI models • Annotation guideline development for consistent labeling • Rigorous QA and accuracy maintenance above 98% • Continuous collaboration and process optimization with engineering teams

2023 - Present

AI Model Safety Evaluation & Red Teaming

TextRed Teaming

I executed red teaming exercises to proactively identify and document harmful content in large language model outputs. My efforts included crafting over 3,000 adversarial test cases to probe and challenge AI models. I contributed to building benchmark standards for safety evaluation and testing protocols. • Adversarial example creation for content risk identification • LLM vulnerability analysis and documentation • Safety benchmark and protocol development • Interdisciplinary reporting to development and safety teams

2023 - 2023

Multi-language Content Annotation & QA

OtherTextEntity (NER) Classification

I annotated and validated more than 20,000 bilingual samples for natural language processing tasks including NER, sentiment analysis, and classification. My responsibilities included quality assurance and the implementation of efficient workflow processes to boost productivity. I trained a team of five annotators to maintain rigorous labeling standards across both languages. • Bilingual annotation (Chinese and English) for NLP tasks • Quality assurance and process optimization • Team training and productivity improvement • NER, sentiment, and text classification labeling

2022 - 2022

Education

Work History