Mary Kuria

Key Skills

Software

Roboflow

OneForma

Appen

Top Subject Matter

No subject matter listed

Top Data Types

Video

Image

Text

Audio

Top Label Types

Bounding Box

Polygon

Classification

Question Answering

Text Generation

Transcription

Freelancer Overview

I am a detail-oriented data and language professional with a Bachelor of Science in Applied Statistics with Computing. I specialize in AI data annotation, text labeling, and quality assurance for both English and Swahili datasets. My experience includes annotating and categorizing text data, reviewing language content for accuracy and cultural relevance, and applying rigorous guidelines to support the training and evaluation of AI and machine learning models. I am skilled in Python for basic data handling and analysis, and I excel in remote, deadline-driven environments where accuracy and consistency are essential. My analytical background and strong language skills enable me to deliver high-quality training data and support human-in-the-loop AI processes with reliability and attention to detail.

Labeling Experience

Data Annotator

OneformaTextClassificationQuestion Answering

Contributed to an AI/LLM training project by labeling and reviewing text datasets. Tasks included text classification, intent labeling, sentiment annotation, and quality verification to ensure accurate and guideline-compliant data for model training.

Contributed to an AI/LLM training project by labeling and reviewing text datasets. Tasks included text classification, intent labeling, sentiment annotation, and quality verification to ensure accurate and guideline-compliant data for model training.

2024 - 2025

LLM Data Annotator

RoboflowVideoBounding BoxPolygon

Participated in an LLM data labeling project focused on reviewing and correcting multimodal datasets, including video, audio, and subtitle-based captions. Responsibilities included validating caption accuracy, modality alignment, and consistency with task guidelines. The project involved processing large-scale datasets across multiple task batches while adhering to strict quality benchmarks, reviewer feedback, and inter-annotator agreement standards.

Participated in an LLM data labeling project focused on reviewing and correcting multimodal datasets, including video, audio, and subtitle-based captions. Responsibilities included validating caption accuracy, modality alignment, and consistency with task guidelines. The project involved processing large-scale datasets across multiple task batches while adhering to strict quality benchmarks, reviewer feedback, and inter-annotator agreement standards.

2024 - 2025

Data Annotator

RoboflowImageBounding BoxClassification

Participated in an AI training project by labeling and reviewing image datasets for computer vision tasks. Tasks included bounding box annotation, image classification, object tagging, and quality verification to ensure high-accuracy datasets for model training.

Participated in an AI training project by labeling and reviewing image datasets for computer vision tasks. Tasks included bounding box annotation, image classification, object tagging, and quality verification to ensure high-accuracy datasets for model training.

2025

Data Annotator

AppenAudioQuestion AnsweringTranscription

Contributed to an AI training project by labeling and reviewing audio datasets. Tasks included speech transcription, intent labeling, sentiment analysis, and quality verification to ensure accurate and guideline-compliant audio data for model training. Supported improvements in speech recognition and natural language understanding models.

Contributed to an AI training project by labeling and reviewing audio datasets. Tasks included speech transcription, intent labeling, sentiment analysis, and quality verification to ensure accurate and guideline-compliant audio data for model training. Supported improvements in speech recognition and natural language understanding models.

2023 - 2025

Education

Work History