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Hi, I’m Kehinde Owoyeye, a data annotation specialist with a computer science background. I thrive on turning complex data into accurate, reliable AI training sets through meticulous annotation, rigorous quality checks, and a proactive approach to problem solving. Working remotely with diverse teams, I’ve delivered high quality annotations and evaluations for multilingual AI models, and I’m eager to contribute to innovative AI projects through precision, collaboration, and continuous learning.…Hi, I’m Kehinde Owoyeye, a data annotation specialist with a computer science background. I thrive on turning complex data into accurate, reliable AI training sets through meticulous annotation, rigorous quality checks, and a proactive approach to problem solving. Working remotely with diverse teams, I’ve delivered high quality annotations and evaluations for multilingual AI models, and I’m eager to contribute to innovative AI projects through precision, collaboration, and continuous learning.

Kehinde Owoyeye

Data Annotator, QA Engineer, Data Scientist, +2

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Hi, I’m Kehinde Owoyeye, a data annotation specialist with a computer science background. I thrive on turning complex data into accurate, reliable AI training sets through meticulous annotation, rigorous quality checks, and a proactive approach to problem solving. Working remotely with diverse teams, I’ve delivered high quality annotations and evaluations for multilingual AI models, and I’m eager to contribute to innovative AI projects through precision, collaboration, and continuous learning.…Hi, I’m Kehinde Owoyeye, a data annotation specialist with a computer science background. I thrive on turning complex data into accurate, reliable AI training sets through meticulous annotation, rigorous quality checks, and a proactive approach to problem solving. Working remotely with diverse teams, I’ve delivered high quality annotations and evaluations for multilingual AI models, and I’m eager to contribute to innovative AI projects through precision, collaboration, and continuous learning.

Available to hire

Hi, I’m Kehinde Owoyeye, a data annotation specialist with a computer science background. I thrive on turning complex data into accurate, reliable AI training sets through meticulous annotation, rigorous quality checks, and a proactive approach to problem solving.

Working remotely with diverse teams, I’ve delivered high quality annotations and evaluations for multilingual AI models, and I’m eager to contribute to innovative AI projects through precision, collaboration, and continuous learning.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Yoruba

Advanced

Work Experience

AI Data Annotator at e2f, Inc. (IDEAS Project)

February 1, 2025 - Present

Label, organize, and classify multimodal datasets (text, image, audio) to enhance AI/ML model performance. Manage diverse workflows, including fact-checking, multi-response voice annotation, and text classification using custom UI tools. Assess and optimize search engine outputs and web content for accuracy, quality, and relevance for end users. Conduct comprehensive quality reviews, consistently meeting productivity and quality benchmarks in multilingual machine learning projects.

AI Data Annotator / Rater at Appen

August 1, 2024 - January 31, 2025

Delivered text, image, and audio annotations for large-scale AI datasets. Conducted search relevance assessments, improving machine learning algorithms. Delivered outputs backed by credible research and reliable sources. Collaborated with LLMs and tools to complete complex tasks; designed and refined prompts to optimize AI performance and enhance response quality. Supported AI development by creating training data and boosting accuracy. Maintained high accuracy by applying project-specific annotation rules.

ASR Evaluator & Transcriber at TELUS International

November 1, 2023 - July 31, 2024

Validated ASR output across 150+ hours of audio, improving transcription accuracy and fluency. Identified transcription errors and recommended refinements, improving model output by 10%. Consistently ranked in the top 10% of evaluators for QA performance and error flagging precision.

Data Annotator at Remotasks

February 1, 2023 - September 30, 2023

Achieved high quality NER, sentiment analysis, and conversational segmentation with 95%+ QA benchmarks. Labeled and validated 10,000+ text and audio units, enhancing NLP and speech recognition projects. Contributed to feedback cycles and refinement of annotation guidelines for improved clarity. Conducted web research and fact-checking to validate information and support data driven decisions. Adapted across diverse tasks including annotation, research, and analysis while meeting strict project guidelines.