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Denis Gate

Denis Gate

Marketing Content Manager in Contract Review, Compliance, and Legal Research

KENYA flag
Nairobi, Kenya
$8.00/hrEntry LevelAppenClickworkerCloudfactory

Key Skills

Software

AppenAppen
ClickworkerClickworker
CloudFactoryCloudFactory
CrowdSourceCrowdSource
Data Annotation TechData Annotation Tech
LabelboxLabelbox
LabelImgLabelImg
Label StudioLabel Studio
RemotasksRemotasks

Top Subject Matter

Legal Services & Contract Review
Regulatory Compliance & Risk Analysis
Legal Research & Document Analysis

Top Data Types

VideoVideo
TextText
DocumentDocument

Top Task Types

Bounding Box
Polygon
Classification
Entity Ner Classification
Point Key Point
Segmentation
Cuboid
Polyline
Text Generation
Object Detection
Evaluation Rating
Red Teaming
Transcription
Fine Tuning

Freelancer Overview

Marketing Content Manager in Contract Review, Compliance, and Legal Research. Brings 13+ years of professional experience across complex professional workflows, research, and quality-focused execution. Education includes Bachelor of Science, Kenyatta University (2014).

Entry LevelSwahiliEnglish

Labeling Experience

Video Labeling at Appen

VideoSegmentation
I performed high-precision video annotation for Appen, focusing on temporal object tracking and frame-by-frame polygonal segmentation. My work involved labeling dynamic entities like moving vehicles and pedestrians across thousands of frames to ensure consistent object persistence and spatial accuracy.

I performed high-precision video annotation for Appen, focusing on temporal object tracking and frame-by-frame polygonal segmentation. My work involved labeling dynamic entities like moving vehicles and pedestrians across thousands of frames to ensure consistent object persistence and spatial accuracy.

2025 - 2025

Video Labeling and Annotation at Appen

VideoBounding Box
I performed high-precision video annotation, focusing on temporal object tracking and frame-by-frame polygonal segmentation. My work involved labeling dynamic entities like moving vehicles and pedestrians across thousands of frames to ensure consistent object persistence and spatial accuracy. I adhered to strict quality standards through multi-stage audits to provide the high-fidelity ground truth data necessary for training autonomous driving models.

I performed high-precision video annotation, focusing on temporal object tracking and frame-by-frame polygonal segmentation. My work involved labeling dynamic entities like moving vehicles and pedestrians across thousands of frames to ensure consistent object persistence and spatial accuracy. I adhered to strict quality standards through multi-stage audits to provide the high-fidelity ground truth data necessary for training autonomous driving models.

2025 - 2025

Image labeling

ImagePolygon
I performed high-precision polygonal segmentation, tracing the exact boundaries of pedestrians and vehicles across thousands of images. I maintained 98%+ accuracy through rigorous audits, providing the pixel-level ground truth data necessary for training autonomous navigation models.

I performed high-precision polygonal segmentation, tracing the exact boundaries of pedestrians and vehicles across thousands of images. I maintained 98%+ accuracy through rigorous audits, providing the pixel-level ground truth data necessary for training autonomous navigation models.

2025 - 2025

Transcription on UBER AI

VideoTranscription
I transcribe and annotate audio data to train Uber AI's machine learning models, ensuring high linguistic accuracy and proper speaker identification. My work involves converting raw speech into structured text, tagging user intent, and identifying emotional sentiment to refine conversational chatbots and voice-activated services. By auditing AI-generated drafts for errors in context or dialect, I provide the high-quality "ground truth" data necessary to improve the platform's overall responsiveness and user experience.

I transcribe and annotate audio data to train Uber AI's machine learning models, ensuring high linguistic accuracy and proper speaker identification. My work involves converting raw speech into structured text, tagging user intent, and identifying emotional sentiment to refine conversational chatbots and voice-activated services. By auditing AI-generated drafts for errors in context or dialect, I provide the high-quality "ground truth" data necessary to improve the platform's overall responsiveness and user experience.

2025 - 2025

Education

K

Kenyatta University

Bachelor of Science, Biotechnology

Bachelor of Science
2010 - 2014

Work History

N

nDash

Marketing Content Manager

Nairobi
2019 - Present
S

Staccato Global Technologies

Swahili Interpreter

Nairobi
2021 - 2023