Trung Pham

Key Skills

Software

AWS SageMaker

Appen

CrowdSource

Data Annotation Tech

Labelbox

Lionbridge

OneForma

Remotasks

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Image

Text

Top Label Types

Computer Programming Coding

Prompt Response Writing SFT

RLHF

Translation Localization

Freelancer Overview

am an experienced AI Trainer and Data Labeling Specialist with over two years of expertise in training AI models through prompt engineering, data annotation, and reinforcement learning from human feedback (RLHF). I have worked extensively on large-scale AI projects with companies like Outlier AI, Translated (NVIDIA), Alignerr, Crowdgen, and Meta, focusing on curating datasets, evaluating AI-generated responses, and fine-tuning models for accuracy and efficiency. My expertise spans natural language processing (NLP), content moderation, and AI alignment, ensuring that AI models produce high-quality, factually accurate, and contextually relevant responses. I specialize in multi-domain AI training, with a strong background in computer science, education, legal, and business AI applications. I have hands-on experience in evaluating AI-generated text and code, refining prompts for optimal model responses, and providing detailed feedback to improve AI behavior. My bilingual proficiency in English and Vietnamese gives me a competitive edge in multilingual AI training and localization projects. Additionally, I bring a strong technical foundation in software development (Python, C++, Java) and product management, allowing me to bridge the gap between AI research and practical implementation. My ability to iterate on AI models, analyze performance metrics, and adapt strategies to evolving AI requirements sets me apart in the industry.

Labeling Experience

Data Specialist

AppenTextText GenerationTranslation Localization

Evaluated and refined AI-generated text and audio responses for quality, clarity, and contextual relevance. Conducted emotion recognition tasks for AI models to improve sentiment analysis and voice-based AI assistants. Translated and localized AI-generated text between Vietnamese and English for NLP development. Provided fine-tuning support by rewriting AI-generated content for better accuracy and readability.

Evaluated and refined AI-generated text and audio responses for quality, clarity, and contextual relevance. Conducted emotion recognition tasks for AI models to improve sentiment analysis and voice-based AI assistants. Translated and localized AI-generated text between Vietnamese and English for NLP development. Provided fine-tuning support by rewriting AI-generated content for better accuracy and readability.

2024

Senior AI Trainer

Scale AITextText SummarizationRLHF

This project involved training and evaluating AI models to enhance their ability to generate human-like, contextually appropriate, and factual responses. My key responsibilities included: Evaluating AI-generated responses in Vietnamese and English for accuracy, coherence, and factual correctness. Refining prompts and response outputs to align AI performance with human expectations. Reinforcement Learning from Human Feedback (RLHF): Ranking, scoring, and rewriting responses to fine-tune model behavior. Red Teaming tasks: Identifying biases, inaccuracies, and ethical concerns in AI outputs. Text generation and summarization for knowledge-intensive domains like education, law, and technology.

This project involved training and evaluating AI models to enhance their ability to generate human-like, contextually appropriate, and factual responses. My key responsibilities included: Evaluating AI-generated responses in Vietnamese and English for accuracy, coherence, and factual correctness. Refining prompts and response outputs to align AI performance with human expectations. Reinforcement Learning from Human Feedback (RLHF): Ranking, scoring, and rewriting responses to fine-tune model behavior. Red Teaming tasks: Identifying biases, inaccuracies, and ethical concerns in AI outputs. Text generation and summarization for knowledge-intensive domains like education, law, and technology.

2024

Education

Work History