Solomon Munyasya

Key Skills

Software

Appen

Top Subject Matter

General AI Content and Computer Vision

English Social Media and NLP Datasets

ASR Training and Audio Content

Top Data Types

Text

Audio

Image

Document

Top Task Types

Entity Ner Classification

Transcription

Freelancer Overview

Freelance AI Data Annotator & Evaluator. Brings 3+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Appen, Internal, and Proprietary Tooling. Education includes Bachelor of Science, Nova Southeastern University (2022). AI-training focus includes data types such as Text and Audio and labeling workflows including Evaluation, Rating, and Entity (NER) Classification.

Labeling Experience

English AI Content Evaluation Tracker – Personal Project

Text

I launched a personal project for English AI content evaluation, developing a tracker for logging annotation tasks and accuracy. I identified patterns in recurring errors and shared quality insights on GitHub for the annotator community. The project aided in personal calibration and best-practices sharing for QA processes. • Tracked annotation tasks and model feedback • Documented English AI content errors • Provided open-source resources for annotators • Supported self-improvement in annotation quality

I launched a personal project for English AI content evaluation, developing a tracker for logging annotation tasks and accuracy. I identified patterns in recurring errors and shared quality insights on GitHub for the annotator community. The project aided in personal calibration and best-practices sharing for QA processes. • Tracked annotation tasks and model feedback • Documented English AI content errors • Provided open-source resources for annotators • Supported self-improvement in annotation quality

2023 - Present

Freelance AI Data Annotator & Evaluator

AppenText

As a Freelance AI Data Annotator & Evaluator, I handled data annotation, labeling, and pairwise comparison for AI training across text, image, audio, and video data. I evaluated AI-generated English content for fluency and appropriateness, provided structured feedback, and conducted object tagging and bounding box labeling. My work involved maintaining a high annotation accuracy rate, performing comparisons for output quality, and ensuring prompt project deliveries. • Managed labeling and annotation projects on Appen, Scale AI, and DataAnnotation.tech • Performed pairwise comparison and evaluation of AI-generated content • Labeled and categorized images, video, audio, and text data for ML training • Maintained above 97% accuracy across tasks

As a Freelance AI Data Annotator & Evaluator, I handled data annotation, labeling, and pairwise comparison for AI training across text, image, audio, and video data. I evaluated AI-generated English content for fluency and appropriateness, provided structured feedback, and conducted object tagging and bounding box labeling. My work involved maintaining a high annotation accuracy rate, performing comparisons for output quality, and ensuring prompt project deliveries. • Managed labeling and annotation projects on Appen, Scale AI, and DataAnnotation.tech • Performed pairwise comparison and evaluation of AI-generated content • Labeled and categorized images, video, audio, and text data for ML training • Maintained above 97% accuracy across tasks

2023 - Present

Multimodal Content Tagging & Transcription Pipeline – Freelance Client Project

AudioTranscription

For a freelance client project, I designed and managed a pipeline for tagging English audio and video for ASR training. I labeled 3,000+ audio segments with metadata, tone, and transcription accuracy, delivering results free from QA rejections. The work supported high-quality ASR model development on a rapid project timeline. • Tagged English-language audio and video data • Labeled emotional tone, speaker info, and transcription • Designed efficient annotation workflows for ASR • Delivered ahead of schedule with 100% QA acceptance

For a freelance client project, I designed and managed a pipeline for tagging English audio and video for ASR training. I labeled 3,000+ audio segments with metadata, tone, and transcription accuracy, delivering results free from QA rejections. The work supported high-quality ASR model development on a rapid project timeline. • Tagged English-language audio and video data • Labeled emotional tone, speaker info, and transcription • Designed efficient annotation workflows for ASR • Delivered ahead of schedule with 100% QA acceptance

2023 - 2023

Research Assistant – AI & Natural Language Processing

TextEntity Ner Classification

As a Research Assistant in AI & NLP, I manually annotated over 10,000 English text samples for sentiment polarity, topic, NER, and toxicity. I contributed to refining transformer-based models by providing high-quality ground truth data. My work included co-authoring a paper on annotation consistency and presenting findings at a research symposium. • Conducted text classification and NER labeling • Performed manual sentiment and toxicity annotation • Assisted in NLP model fine-tuning and evaluation • Shared insights on annotation reliability and methodology

As a Research Assistant in AI & NLP, I manually annotated over 10,000 English text samples for sentiment polarity, topic, NER, and toxicity. I contributed to refining transformer-based models by providing high-quality ground truth data. My work included co-authoring a paper on annotation consistency and presenting findings at a research symposium. • Conducted text classification and NER labeling • Performed manual sentiment and toxicity annotation • Assisted in NLP model fine-tuning and evaluation • Shared insights on annotation reliability and methodology

2021 - 2022

Education

Work History