Stephen Mungai

Key Skills

Software

Telus

Top Subject Matter

Computer Vision

Identity Verification

Security Systems

Top Data Types

Image

Video

Text

Document

Top Task Types

Classification

Object Detection

Entity (NER) Classification

Freelancer Overview

Data Labeler — Global Computer Vision. Brings 1+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Telus and RWS Annotate. Education includes Bachelor of Economics, University of Nairobi and Certificate in Technical Support Fundamentals, Coursera. AI-training focus includes data types such as Image, Video, and Text and labeling workflows including Classification, Object Detection, and Entity (NER) Classification.

Labeling Experience

Data Labeler — Global Computer Vision

TelusImageClassification

As a Data Labeler at Telus International, I annotated large-scale international driver image datasets for Uber's identity verification and platform security AI systems. My work involved following detailed multi-region protocols and rigorous compliance standards to ensure high-quality training data. I played a key role in delivering foundational ground-truth datasets to improve global AI model accuracy. • Annotated thousands of driver images representing diverse geographies and visual attributes. • Interpreted and applied complex labeling guidelines to maintain data integrity. • Categorized, classified, and validated high-resolution images against regulatory protocols. • Maintained strict quality standards, reducing bias and enhancing model deployment success.

As a Data Labeler at Telus International, I annotated large-scale international driver image datasets for Uber's identity verification and platform security AI systems. My work involved following detailed multi-region protocols and rigorous compliance standards to ensure high-quality training data. I played a key role in delivering foundational ground-truth datasets to improve global AI model accuracy. • Annotated thousands of driver images representing diverse geographies and visual attributes. • Interpreted and applied complex labeling guidelines to maintain data integrity. • Categorized, classified, and validated high-resolution images against regulatory protocols. • Maintained strict quality standards, reducing bias and enhancing model deployment success.

2025 - 2026

AI Data Annotator — Image & Video Analysis

VideoObject Detection

As an AI Data Annotator at RWS, I performed multimedia video frame analysis and object detection for computer vision model training. My responsibilities included evaluating bounding box accuracy, motion tracking, and facial recognition labels. I consistently achieved a 99% quality score on complex data validation tasks. • Conducted frame-by-frame video and image analysis for object permanence and motion accuracy. • Identified and corrected discrepancies in AI-generated bounding boxes and polygons. • Applied detailed linguistic and visual annotation guidelines across large datasets. • Provided structured QA feedback to engineering teams for model performance refinement.

As an AI Data Annotator at RWS, I performed multimedia video frame analysis and object detection for computer vision model training. My responsibilities included evaluating bounding box accuracy, motion tracking, and facial recognition labels. I consistently achieved a 99% quality score on complex data validation tasks. • Conducted frame-by-frame video and image analysis for object permanence and motion accuracy. • Identified and corrected discrepancies in AI-generated bounding boxes and polygons. • Applied detailed linguistic and visual annotation guidelines across large datasets. • Provided structured QA feedback to engineering teams for model performance refinement.

2023 - 2024

AI Text Annotator — NLP & Linguistic Quality

TelusTextEntity Ner Classification

As an AI Text Annotator at TELUS International, I annotated and evaluated English-language text data for AI language model training. I focused on entity recognition, grammar, syntax, semantic accuracy, and cultural relevance in large textual datasets. My consistent, independent work directly improved model comprehension and fluency. • Labeled and evaluated training data for NLP and language models. • Identified and corrected grammatical, syntactic, and semantic errors. • Applied strict annotation and quality guidelines to ensure dataset accuracy. • Worked in fast-paced, remote environments with minimal supervision.

As an AI Text Annotator at TELUS International, I annotated and evaluated English-language text data for AI language model training. I focused on entity recognition, grammar, syntax, semantic accuracy, and cultural relevance in large textual datasets. My consistent, independent work directly improved model comprehension and fluency. • Labeled and evaluated training data for NLP and language models. • Identified and corrected grammatical, syntactic, and semantic errors. • Applied strict annotation and quality guidelines to ensure dataset accuracy. • Worked in fast-paced, remote environments with minimal supervision.

2021 - 2023

Education

Work History