Fenny M.

Key Skills

Software

CloudFactory

Sama

Hasty

Labelbox

Top Subject Matter

Agriculture Domain Expertise

Healthcare Data & Medical Documentation

E-commerce Product Data & Taxonomy

Top Data Types

Image

Video

3D Sensor

Top Task Types

Bounding Box

Polygon

Segmentation

Polyline

Cuboid

Text Summarization

Text Generation

Object Detection

Classification

Freelancer Overview

Data Annotation Specialist. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CloudFactory and Sama. Education includes Bachelor of Arts, Kenyatta University and Kenya Certificate of Secondary Education, St. Mary's Girls Mumias High School (2015). AI-training focus includes data types such as Image and labeling workflows including Bounding Box.

Labeling Experience

Data Annotation Specialist

CloudFactoryImageBounding Box

As a Data Annotation Specialist at CloudFactory, I performed high-accuracy labeling on complex datasets for machine learning applications. I handled image tasks involving bounding boxes, segmentation, and classification while collaborating remotely with teams and participating in quality assurance. I consistently maintained annotation accuracy above 98%, meeting strict daily and weekly output targets. • Led high-priority client projects as a project lead annotator. • Ensured rigorous adherence to annotation guidelines for agricultural, healthcare, and e-commerce sectors. • Applied labeling with CVAT, Label Studio, SuperAnnotate, and Labelbox. • Engaged in client-focused reviews and daily team updates.

2023 - 2025

Data Annotator

SamaImageBounding Box

As a Data Annotator at Sama, I annotated images and videos for prominent AI clients, especially within the autonomous driving and e-commerce domains. I specialized in bounding box and polygon annotations, including lane and object detection tasks for large datasets. I actively participated in internal QA teams, conducting peer reviews and contributing to improved model accuracy. • Supported flagship annotation projects, leading to a 15% increase in model accuracy. • Collaborated with cross-functional teams to ensure consistency in labeling. • Used Sama-specific annotation tools for labeling and reviewing. • Learned and applied best practices for data integrity and accuracy in high-volume projects.

2021 - 2022

Education

Work History