Elvin N.

Key Skills

Software

Clickworker

Remotasks

Top Subject Matter

Egocentric video data

computer vision AI models

Visual data annotation for machine learning and AI development

Top Data Types

Video

Image

Text

Document

Top Task Types

Polygon

Bounding Box

Freelancer Overview

Video Annotator / AI Training Contributor. Brings 1+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Atlas, Clickworker, and Remotasks. Education includes Bachelor of Science, University of Eldoret (2021) and Kenya Certificate of Secondary Education, Kiburu Secondary School (2019). AI-training focus includes data types such as Video and Image and labeling workflows including Polygon and Bounding Box.

Labeling Experience

Video Annotator / AI Training Contributor

VideoPolygon

As a Video Annotator and AI Training Contributor at Atlas, I annotated egocentric first-person video datasets for AI and computer vision training. I performed precise frame-by-frame video review, object tracking, polygon labeling, and semantic segmentation. I consistently applied detailed project guidelines while ensuring high data accuracy and quality. • Conducted accurate frame-by-frame object tracking and polygon annotation • Maintained high labeling consistency to meet strict quality standards • Applied project-specific guidelines for object and action identification • Flagged complex or ambiguous edge cases requiring guideline judgment

2025 - Present

Data Annotation Specialist

ClickworkerImageBounding Box

As a Data Annotation Specialist at Clickworker, I annotated image and video datasets for machine learning and AI model development. I reviewed and validated visual data for accuracy, relevance, and completeness. My responsibilities included quality assurance checks and adapting to changing annotation instructions. • Annotated images and videos for diverse machine learning use cases • Conducted visual data reviews prior to dataset submission • Performed quality checks to ensure annotation reliability • Maintained high throughput under remote work conditions

2024 - 2024

Data Annotation Specialist

RemotasksImageBounding Box

As a Data Annotation Specialist for Remotasks, I worked on computer vision datasets centered around vehicles, roads, pedestrians, and traffic scenes. My core tasks included bounding box annotation, segmentation, and object tracking in images. I supported the creation of high-quality training datasets for AI projects requiring structured visual labels. • Completed bounding box and segmentation for road scene elements • Conducted object tracking for vehicle and pedestrian labeling • Identified ambiguous frames for guideline-based escalation • Ensured reliable remote annotation in a contract setting

2022 - 2023

Education

Work History