Faith WanguiFW
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Faith Wangui

@faithwangui

Detail-oriented data annotator with AI experience

Kenya
Message

What I'm looking for

Seeking a challenging role in AI data annotation

I am a highly detail-oriented and tech-savvy data annotator with over 4 years of experience working in various AI and machine learning projects. I possess a strong understanding of the role that high-quality annotated data plays in AI training, tuning, and evaluation.

My background in data literacy and technical aptitude has equipped me to thrive in fast-paced, remote work environments where flexibility and self-motivation are essential. I have hands-on experience working with AI-powered annotation platforms and collaborating with leading AI research teams to deliver high-impact projects.

I am proficient in multimodal data annotation, including text, images, and audio labeling. I am adept at creating accurate annotations, reviewing datasets for quality assurance, and generating complex educational content to aid in the development of AI models.

Experience

Work history, roles, and key accomplishments

FS
Current

Data Annotator

Focal Systems

Jan 2022 - Present (3 years 6 months)

Annotated large datasets involving image and text data to train AI models for autonomous retail checkout systems. Collaborated with AI researchers to provide crucial annotated data, ensuring high levels of consistency and quality.

TA

Content Annotator & Researcher

Tagtog

Jun 2021 - Jan 2022 (7 months)

Worked on data annotation projects for healthcare and finance AI models, focusing on text annotation and generating educational content for AI training.

SA

Data Annotator & Reviewer

Snorkel AI

Apr 2019 - Mar 2020 (11 months)

Contributed to multimodal datasets for AI training by annotating text and images, collaborating with AI research teams and conducting quality control measures.

Education

Degrees, certifications, and relevant coursework

University of Nairobi logoUN

University of Nairobi

Bachelor of Science, Computer Science

2013 - 2017

Coursework in AI, machine learning, data science, and computer vision.

Tech stack

Software and tools used professionally

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