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Maureen NjambiMN
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Maureen Njambi

@maureennjambi

Data Annotator at Mindy Support, labeling video for computer vision models with over 98% accuracy.

Kenya
Message

At Mindy Support, I annotated video frame by frame using bounding boxes and semantic segmentation polygons to label spatial environments for robotics and computer vision models.

I also wrote structured captions and timestamp metadata for visual actions and object interactions. I reviewed annotations for pixel-level discrepancies, documented edge cases, and maintained a reported accuracy score above 98% against client labeling guidelines.

At Remotask and Outlier AI, I evaluated AI-generated video summaries, text responses, and language scenarios for factual accuracy and alignment with prompt constraints. I documented failure modes and provided structured feedback to support prompt engineering.

At National Cereals and Produce Board, I handled routine technical support and assisted teams with technology implementations. I also built a personal portfolio project demonstrating workflow optimization, presentation structures, and data handling processes.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

IS

ISC2

Certified in Cybersecurity, Cybersecurity

2026 -

Ongoing Certified in Cybersecurity course.

TI

Thika Technical and Training Institute

Diploma, Information and Communications Technology

2019 - 2022

Grade: Credit

Diploma in Information and Communications Technology (ICT), acquired a Credit pass in the final year.

KS

Kamahuha Girls’ High School

Secondary School Certificate, Secondary Education

2014 - 2017

Attained a KCSE Certificate upon completion.

Tech stack

Software and tools used professionally

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