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Faith AkamkaliFA
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Faith Akamkali

@faithakamkali

Detail-oriented multimodal data annotation specialist driving accurate, ethical AI training datasets.

Nigeria
Message

What I'm looking for

I seek roles focused on multimodal annotation or dataset curation where I can ensure high-quality ground truth, follow clear guidelines, and grow in AI safety and ML training.

I am a detail-oriented data annotation specialist with hands-on experience labeling and evaluating high-quality multimodal datasets across text, image, audio, and video to support accurate, ethical, and scalable AI/ML systems. I have completed thousands of annotations, improved dataset accuracy through QA and validation, and optimized workflows to increase throughput and consistency.

I have supported academic and health-data teams, produced documentation used across departments, and applied advanced annotation methodologies such as SFT, RLHF, and Chain-of-Thought prompting. I work independently or in collaborative teams, prioritize guideline compliance and data integrity, and focus on reproducible, high-quality ground truth preparation for model training.

Experience

Work history, roles, and key accomplishments

FR
Current

ML Trainer / Annotation Specialist

Freelance

Jun 2024 - Present (2 years)

Delivered 3,500+ multimodal annotations (text, image, audio, video) for global AI/ML clients, improving dataset accuracy and maintaining 99% data integrity through QA reviews and workflow optimizations that increased throughput by 35%.

Education

Degrees, certifications, and relevant coursework

University of Calabar logoUC

University of Calabar

Bachelor of Science, Diagnostic Radiography

2021 -

Pursuing a B.Sc. in Diagnostic Radiography with coursework including introductory topics in generative and responsible AI; degree in progress.

Tech stack

Software and tools used professionally

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