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I enjoy turning complex data requirements into clear, reliable annotation workflows that improve model accuracy, safety, and reasoning. Throughout my experience with Scale AI, Appen, and Invisible Technologies, I have maintained high quality standards, mentored annotators, identified bias in training data, automated repetitive tasks with Python, and participated in model safety red-teaming. I am friendly, detail-oriented, and motivated by opportunities to help build dependable AI systems.…I enjoy turning complex data requirements into clear, reliable annotation workflows that improve model accuracy, safety, and reasoning. Throughout my experience with Scale AI, Appen, and Invisible Technologies, I have maintained high quality standards, mentored annotators, identified bias in training data, automated repetitive tasks with Python, and participated in model safety red-teaming. I am friendly, detail-oriented, and motivated by opportunities to help build dependable AI systems.

Ifeanyi Chukwu Ugwu

AI Trainer, Data Annotator, AI Evaluator, +2

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I enjoy turning complex data requirements into clear, reliable annotation workflows that improve model accuracy, safety, and reasoning. Throughout my experience with Scale AI, Appen, and Invisible Technologies, I have maintained high quality standards, mentored annotators, identified bias in training data, automated repetitive tasks with Python, and participated in model safety red-teaming. I am friendly, detail-oriented, and motivated by opportunities to help build dependable AI systems.…I enjoy turning complex data requirements into clear, reliable annotation workflows that improve model accuracy, safety, and reasoning. Throughout my experience with Scale AI, Appen, and Invisible Technologies, I have maintained high quality standards, mentored annotators, identified bias in training data, automated repetitive tasks with Python, and participated in model safety red-teaming. I am friendly, detail-oriented, and motivated by opportunities to help build dependable AI systems.

Available to hire

I enjoy turning complex data requirements into clear, reliable annotation workflows that improve model accuracy, safety, and reasoning. Throughout my experience with Scale AI, Appen, and Invisible Technologies, I have maintained high quality standards, mentored annotators, identified bias in training data, automated repetitive tasks with Python, and participated in model safety red-teaming. I am friendly, detail-oriented, and motivated by opportunities to help build dependable AI systems.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

AI Collection (Video)

Expert

Expert

Expert

Intermediate

Work Experience

AI Data Analyst at Invisible Technologies

June 1, 2024 - August 1, 2025

Executed high-touch medical imaging and financial document data labeling. Automated repetitive labeling tasks using basic Python scripts to increase throughput and participated in red-teaming exercises focused on model safety.

Lead Data Labeling Specialist at Appen

August 1, 2022 - February 1, 2024

Managed end-to-end data pipelines for computer vision projects, including 2D and 3D cuboid labeling for autonomous vehicle training. Consistently maintained a quality assurance score of 98% or higher on preferred contributor projects, identified and mitigated algorithmic bias through audit protocols and diverse sampling, and mentored junior annotators on tooling and taxonomy application.

AI Content Trainer (Tier 3) at Scale AI

April 1, 2021 - July 1, 2022

Collaborated on high-priority reinforcement learning from human feedback projects for frontier large language models, focusing on complex reasoning, coding in Python and Java, and mathematical problem-solving. Evaluated and ranked model outputs using helpfulness, honesty, and harmlessness frameworks; performed fact-checking and chain-of-thought verification for technical prompts; and developed annotation guidelines to reduce edge-case ambiguity.