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R

Risper Mutegi

AI Data Labeling Specialist

USA flag
Glen burnie, Usa
$15.00/hrIntermediateLabelboxSuperannotateAppen

Key Skills

Software

LabelboxLabelbox
SuperAnnotateSuperAnnotate
AppenAppen
Scale AIScale AI

Top Subject Matter

Healthcare
Finance
E-commerce

Top Data Types

ImageImage
TextText
AudioAudio

Top Task Types

Classification
Bounding Box
Segmentation

Freelancer Overview

Environmental Research Associate. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Education includes Master of Science, University of Maryland, College Park (2023) and Bachelor of Science, Towson University (2023).

IntermediateEnglish

Labeling Experience

Agricultural Drone Image Labeling for Crop Health Analysis

ImageSegmentation
Through TELUS International, I worked on annotating drone imagery for precision agriculture. Tasks included segmenting crop regions, classifying healthy vs. diseased plants, and tagging soil conditions. The datasets were large-scale, often exceeding 30,000 samples, and required careful attention to detail due to subtle visual differences. I used SuperAnnotate and internal tools, and participated in weekly calibration sessions to ensure consistency across annotators. This project supported AI models that help farmers optimize yields and detect early signs of crop stress.

Through TELUS International, I worked on annotating drone imagery for precision agriculture. Tasks included segmenting crop regions, classifying healthy vs. diseased plants, and tagging soil conditions. The datasets were large-scale, often exceeding 30,000 samples, and required careful attention to detail due to subtle visual differences. I used SuperAnnotate and internal tools, and participated in weekly calibration sessions to ensure consistency across annotators. This project supported AI models that help farmers optimize yields and detect early signs of crop stress.

2025 - 2026

Text Sentiment and Intent Classification for Customer Support AI

TextSegmentation
As part of an Appen project, I labeled customer support transcripts to train NLP models for conversational AI systems. My role involved tagging sentiment (positive, neutral, negative) and identifying customer intent (e.g., billing issue, technical support, cancellation). The dataset included over 50,000 text samples. I collaborated with QA reviewers to refine ambiguous cases and contributed feedback to improve annotation guidelines. This project helped enhance chatbot accuracy and reduce response times for client companies.

As part of an Appen project, I labeled customer support transcripts to train NLP models for conversational AI systems. My role involved tagging sentiment (positive, neutral, negative) and identifying customer intent (e.g., billing issue, technical support, cancellation). The dataset included over 50,000 text samples. I collaborated with QA reviewers to refine ambiguous cases and contributed feedback to improve annotation guidelines. This project helped enhance chatbot accuracy and reduce response times for client companies.

2024 - 2025

Image Annotation for Retail Inventory Models

ImageBounding Box
Contracted through Scale AI, I annotated thousands of product images to train object detection models used by major retailers for automated inventory management. Tasks included drawing bounding boxes around items, classifying product categories, and flagging mislabeled samples. I worked with datasets exceeding 20,000 images, using tools like Labelbox and Scale’s internal platform. Quality checks were frequent, and I consistently maintained accuracy above 95%.

Contracted through Scale AI, I annotated thousands of product images to train object detection models used by major retailers for automated inventory management. Tasks included drawing bounding boxes around items, classifying product categories, and flagging mislabeled samples. I worked with datasets exceeding 20,000 images, using tools like Labelbox and Scale’s internal platform. Quality checks were frequent, and I consistently maintained accuracy above 95%.

2024 - 2024

Education

T

Towson University

Bachelor of Science, Biology (Ecology and Conservation Track)

Bachelor of Science
2019 - 2023
U

University of Maryland, College Park

Master of Science, Environmental Science and Policy

Master of Science
2023

Work History

M

Maryland Department of Natural Resources

Environmental Research Associate

Annapolis
2024 - Present
N

National Aquarium

Research Assistant – Aquatic Conservation

Baltimore
2023 - 2024