Tonny Aolah

Key Skills

Software

Appen

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Top Label Types

Entity Ner Classification

Question Answering

Freelancer Overview

I am a detail-oriented AI training data specialist with a strong background in data annotation, content evaluation, and academic editing. My experience includes evaluating and labeling written content for clarity, accuracy, bias, and logical consistency, as well as reviewing and improving AI-generated outputs to meet strict quality standards. I have a proven ability to follow detailed guidelines, fact-check information, and provide structured feedback on text-based data. My proficiency in both English and Kiswahili, combined with my experience as an educator and curriculum specialist, enables me to deliver high-quality results in natural language processing and content evaluation projects. I am highly reliable, comfortable working independently in remote settings, and available for both part-time and full-time opportunities in AI data labeling and training.

Labeling Experience

Text and Image Data Annotation for AI Model Training

AppenImageEntity Ner Classification

Worked on large-scale annotation projects involving both text and image data to train and improve AI models. Responsibilities included labeling text for intent, sentiment, and relevance, as well as creating bounding boxes and tagging objects in images for computer vision datasets. Adhered strictly to project guidelines and quality assurance protocols to maintain high accuracy and consistency. Reviewed and validated labeled data to meet platform productivity and quality benchmarks.

Worked on large-scale annotation projects involving both text and image data to train and improve AI models. Responsibilities included labeling text for intent, sentiment, and relevance, as well as creating bounding boxes and tagging objects in images for computer vision datasets. Adhered strictly to project guidelines and quality assurance protocols to maintain high accuracy and consistency. Reviewed and validated labeled data to meet platform productivity and quality benchmarks.

2023 - 2025

Natural Language Processing Data Curation

AppenTextQuestion Answering

Annotated medical and legal documents for named entity recognition and question answering datasets. Summarized complex texts to create concise training data for AI language models. Ensured compliance with confidentiality requirements and maintained high annotation accuracy throughout.

Annotated medical and legal documents for named entity recognition and question answering datasets. Summarized complex texts to create concise training data for AI language models. Ensured compliance with confidentiality requirements and maintained high annotation accuracy throughout.

2023 - 2024

Education

Work History