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BK
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Brian Kituku

@briankituku

AI data trainer specializing in precise vehicle damage labeling for smarter insurance AI.

Kenya
Message

What I'm looking for

I’m looking for a remote, quality-first role supporting automotive and insurance AI through precise vehicle damage labeling, reliable QA, and self-managed workflows—so models learn accurately from real-world images and strengthen claim decisions.

I’m a detail-oriented AI data trainer with deep automotive domain experience, built on hands-on vehicle damage assessment, parts identification, and insurance claims evaluation. I review and annotate vehicle damage imagery with a meticulous, quality-first approach—covering scratches, dents, cracks, paint chips, and missing components—across a wide range of car makes and models.

Since 2022, I’ve produced structured training datasets using Label Studio-style annotation workflows and consistent visual/labeling standards to improve AI model accuracy. I also collaborate remotely with project leads to refine criteria and resolve edge cases, and I bring a proven QA mindset from achieving a 98% accuracy rate in damage classification reviews.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

KT

Kenya Institute of Highways & Building Technology

Diploma in Automotive Engineering, Automotive Engineering

2014 - 2016

Studied vehicle systems, body repair techniques, and automotive diagnostics. Built foundational knowledge in vehicle part identification, structural integrity assessment, and damage repair methodology.

Tech stack

Software and tools used professionally

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