Key Skills

Software

Appen

Mercor

Mindrift

OneForma

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Document

Image

Text

Top Task Types

Action Recognition

Bounding Box

Computer Programming Coding

Data Collection

Text Generation

Freelancer Overview

I have over seven years of experience in AI training and data labeling, specializing in large language models and conversational AI systems. My expertise spans reinforcement learning from human feedback (RLHF), prompt engineering, and instruction-following evaluation, where I consistently deliver precise annotations and nuanced feedback that improve model reliability and performance. I have worked extensively on identifying and documenting model failure modes—such as hallucinations, oververbosity, and policy drift—while ensuring adherence to safety and ethical standards. What sets me apart is my ability to combine technical precision with clear, actionable communication. I have supported high-impact projects by ranking, critiquing, and refining AI-generated responses, directly contributing to scalable RLHF pipelines. My strong background in quality assurance, bias mitigation, and structured data formatting ensures that training datasets are both accurate and aligned with real-world user needs. This blend of analytical rigor, ethical alignment, and hands-on experience makes me highly effective in advancing AI systems that are dependable, human-centered, and adaptable.

Labeling Experience

Conversational AI Training

MindriftAudioRLHF

• Annotated and evaluated large-scale dialogue datasets for task-oriented chatbots and general conversational AI systems. • Focused on instruction-following evaluation, ranking AI-generated responses for correctness, tone, and helpfulness. • Delivered structured feedback that directly supported RLHF pipelines, improving reasoning depth and reducing hallucinations.

• Annotated and evaluated large-scale dialogue datasets for task-oriented chatbots and general conversational AI systems. • Focused on instruction-following evaluation, ranking AI-generated responses for correctness, tone, and helpfulness. • Delivered structured feedback that directly supported RLHF pipelines, improving reasoning depth and reducing hallucinations.

2018

Early NLP & Chatbot Alignment

OneformaTextPrompt Response Writing SFT

• Participated in pilot programs for prompt-based learning and early chatbot alignment. • Labeled intent recognition datasets, ensuring accurate mapping between user queries and system responses. • Collaborated with QA teams to refine annotation schemas, closing gaps in supervised learning pipelines.

• Participated in pilot programs for prompt-based learning and early chatbot alignment. • Labeled intent recognition datasets, ensuring accurate mapping between user queries and system responses. • Collaborated with QA teams to refine annotation schemas, closing gaps in supervised learning pipelines.

2016 - 2018

Education

Work History