Evelyne Kanono

Key Skills

Software

CVAT

Label Studio

Remotasks

Roboflow

Top Subject Matter

Multimodal AI outputs (Text, Image, Video, Speech)

Video and Image AI datasets

Legal Services & Contract Review

Top Data Types

Text

Video

Image

Document

Top Task Types

Bounding Box

Freelancer Overview

AI Content & Data Evaluator. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Outlier and Remotasks. Education includes Master of Public Health, Maseno University (2024) and Bachelor of Science, Maseno University (2017). AI-training focus includes data types such as Text and Video and labeling workflows including Evaluation, Rating, and Bounding Box.

Labeling Experience

AI Content & Data Evaluator

Text

In this role, I evaluated and annotated AI outputs across diverse multimodal projects. I adopted a user perspective to generate natural, human-like responses and reviewed AI outputs for correctness, context, and structure. I provided clear, actionable feedback to enhance dataset quality and contributed to datasets that improve large language model performance. • Evaluated outputs for correctness and structure • Provided actionable feedback to improve AI and datasets • Worked across various data modalities and tasks • Focused on enhancing AI reasoning and output quality

In this role, I evaluated and annotated AI outputs across diverse multimodal projects. I adopted a user perspective to generate natural, human-like responses and reviewed AI outputs for correctness, context, and structure. I provided clear, actionable feedback to enhance dataset quality and contributed to datasets that improve large language model performance. • Evaluated outputs for correctness and structure • Provided actionable feedback to improve AI and datasets • Worked across various data modalities and tasks • Focused on enhancing AI reasoning and output quality

2024 - 2025

AI Data Annotator

RemotasksVideoBounding Box

In this position, I labeled videos and images for various attributes, including subjects, environments, and interactions. My work involved frame-by-frame annotation using bounding boxes, polygons, 3D points, landmarks, and semantic segmentation. I conducted both semantic and speech recognition annotation for NLP and AI training purposes. • Categorized and tagged media by mood, relevance, and storytelling • Ensured strict adherence to annotation guidelines • Maintained a high accuracy rate in assigned tasks • Worked with diverse annotation types and structures

In this position, I labeled videos and images for various attributes, including subjects, environments, and interactions. My work involved frame-by-frame annotation using bounding boxes, polygons, 3D points, landmarks, and semantic segmentation. I conducted both semantic and speech recognition annotation for NLP and AI training purposes. • Categorized and tagged media by mood, relevance, and storytelling • Ensured strict adherence to annotation guidelines • Maintained a high accuracy rate in assigned tasks • Worked with diverse annotation types and structures

2023 - 2024

Education

Work History