Daniel Muuwo

Key Skills

Software

AWS SageMaker

Appen

CrowdSource

Data Annotation Tech

Humanatic

Labelbox

Mindrift

OneForma

Remotasks

SuperAnnotate

Toloka

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Document

Medical Dicom

Top Task Types

Classification

Computer Programming Coding

Geocoding

Prompt Response Writing SFT

Translation Localization

Freelancer Overview

Experienced AI Data Trainer and Annotation Specialist with a strong background in text, image, and audio labeling for machine learning models. I’ve contributed to high-impact projects in natural language processing (NLP), LLM fine-tuning, transcription alignment, and computer vision tasks. At Invisible Technologies, I worked on large-scale annotation projects, maintained high QA standards, and helped refine labeling guidelines to improve model performance. Skilled in tools such as Labelbox, CVAT, SuperAnnotate, and Prodigy, I bring accuracy, attention to detail, and adaptability to diverse annotation tasks. I’ve also worked as a transcriptionist at Verbit and a statistics intern at AMREC, where I applied analytical and documentation skills in healthcare and academic research. My ability to handle complex data, collaborate remotely, and deliver consistently high-quality work makes me a reliable contributor to AI and data training teams.

Labeling Experience

AI Data trainer

Scale AITextClassificationText Summarization

Worked on various AI training projects involving text, image, and video annotation. Tasks included labeling objects in images using bounding boxes and polygons, classifying content for NLP applications, and transcribing or segmenting audio clips for speech recognition models. Followed strict task guidelines to ensure high-quality, consistent data output. Participated in QA reviews and provided feedback to improve annotation instructions and task clarity. Demonstrated adaptability across multiple domains including autonomous driving, content moderation, and language model development.

Worked on various AI training projects involving text, image, and video annotation. Tasks included labeling objects in images using bounding boxes and polygons, classifying content for NLP applications, and transcribing or segmenting audio clips for speech recognition models. Followed strict task guidelines to ensure high-quality, consistent data output. Participated in QA reviews and provided feedback to improve annotation instructions and task clarity. Demonstrated adaptability across multiple domains including autonomous driving, content moderation, and language model development.

2023 - 2024

Education

Work History