Adelaja JosephAJ
Open to opportunities

Adelaja Joseph

@adejoey

Detail-oriented data annotator with expertise in AI/ML datasets.

Nigeria
Message

What I'm looking for

I am looking for a role that fosters growth in AI/ML, values collaboration, and emphasizes innovative data solutions.

As a dedicated data annotator, I have honed my skills at Lighthouse Annotation, where I specialize in accurately labeling and classifying extensive datasets for AI and machine learning model training. My commitment to quality is evident in my ability to maintain over 98% annotation accuracy while adhering to strict quality assurance protocols. I thrive in collaborative environments, working closely with QA teams and machine learning engineers to refine labeling criteria and improve project outcomes.

Throughout my career, I have participated in diverse projects, including autonomous vehicle data, optical character recognition (OCR), medical image annotation, and retail product tagging. My efficient annotation practices have significantly reduced feedback cycles by 30%, demonstrating my ability to enhance workflow and productivity. I am proud to have been recognized as the “Most Accurate Annotator” at Lighthouse Annotation in Q4 2024, a testament to my dedication and expertise in this field.

Experience

Work history, roles, and key accomplishments

LA
Current

Data Annotator

Lighthouse Annotation

Jan 2024 - Present (1 year 6 months)

Labeled and annotated large datasets (image, video, text) for computer vision and NLP projects using tools like Labelbox, CVAT, and SuperAnnotate. Ensured 98%+ annotation accuracy by following strict QA protocols and collaborated with QA teams and machine learning engineers to refine labeling criteria.

Education

Degrees, certifications, and relevant coursework

Ahmadu Bello University logoAU

Ahmadu Bello University

Bachelor of Science, Physics

Completed a Bachelor of Science in Physics at Ahmadu Bello University. This program provided a strong foundation in scientific principles and analytical thinking.

Tech stack

Software and tools used professionally

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