Open to opportunities

James Ooi

@jamesooi

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AI Quality Team Lead with expertise in machine learning and programming.

United States

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What I'm looking for

I am looking for a role that fosters innovation and allows me to leverage my technical skills in AI and software development while contributing to impactful projects.

I am an AI Quality Team Lead with a strong background in machine learning and programming. My experience includes leading cross-functional teams to drive significant improvements in client KPI compliance error rates. I excel in refining QA processes, conducting audits, and delivering real-time feedback to enhance model accuracy and annotation quality.

Throughout my career, I have successfully managed onboarding processes for over 50 new contributors, reducing ramp-up time significantly. My technical skills span multiple programming languages, including C++, Java, Python, and JavaScript, and I have developed full-stack applications using frameworks like React and Django. I am passionate about leveraging technology to solve real-world problems and improve user experiences.

Experience

Work history, roles, and key accomplishments

AI Quality Team Lead/Contributor Success Manager

HireArt/ScaleAI

Jan 2024 - Aug 2024 (7 months)

Led a cross-functional team of 70+ engineers across multiple LLM training projects, managing onboarding, workflow execution, and iterative development cycles. Drove an 85% to 5% reduction in client KPI compliance error rates in 3 weeks by refining QA processes through rigorous audits, performance tracking, and delivering real-time, data-driven feedback.

LLM QA Processes Performance Tracking Data Analysis Technical Documentation Workflow Management

AI Programming Prompt Engineer

Remotasks

Jun 2023 - Jan 2024 (7 months)

Gained hands-on experience in AI and machine learning while refining programming skills by designing and testing prompts for Computer Science and Programming applications. Trained generative AI models in critical areas like code generation, ML algorithms, data cleaning, and visualization, improving model performance and functional accuracy.