Peter Nzoka

Key Skills

Software

Sama

Top Subject Matter

Digital Content Moderation and Internet Research

Top Data Types

Image

Top Task Types

Classification

Freelancer Overview

Image Annotation and Content Moderation Specialist. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Sama. Education includes Kenya Certificate of Secondary Education, St. Mary Secondary School (2010) and Certificate in Computer Packages and Graphic Design, Nairobi Test Trust (2017). AI-training focus includes data types such as Image and labeling workflows including Classification.

Labeling Experience

Image Annotation and Content Moderation Specialist

SamaImageClassification

Performed detailed image annotation for digital content management and AI training projects. Maintained high annotation accuracy rates and contributed to efficiency improvements within the labeling workflow. Collaborated within teams to ensure top-quality labeled datasets for machine learning applications. • Consistently enhanced image annotation accuracy by implementing advanced processing techniques. • Achieved a 100% quality score and top agent certification at Sama in 2018. • Labeled diverse image data as part of SamaSource training and content moderation roles. • Supported digital content integrity by identifying and categorizing visual data.

Performed detailed image annotation for digital content management and AI training projects. Maintained high annotation accuracy rates and contributed to efficiency improvements within the labeling workflow. Collaborated within teams to ensure top-quality labeled datasets for machine learning applications. • Consistently enhanced image annotation accuracy by implementing advanced processing techniques. • Achieved a 100% quality score and top agent certification at Sama in 2018. • Labeled diverse image data as part of SamaSource training and content moderation roles. • Supported digital content integrity by identifying and categorizing visual data.

2017 - 2026

Data annotator

ImageSegmentation

Expertly annotate images using bounding boxes, polygons, and semantic segmentation for autonomous vehicle training datasets. Quality Control: Consistently maintained a 99% accuracy rating on all projects by adhering to complex labeling guidelines and conducting rigorous self-review.

Expertly annotate images using bounding boxes, polygons, and semantic segmentation for autonomous vehicle training datasets. Quality Control: Consistently maintained a 99% accuracy rating on all projects by adhering to complex labeling guidelines and conducting rigorous self-review.

2019 - 2020

Education

Work History