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Samuel T.

Samuel T.

AI Data Annotator | Machine Learning & NLP Enthusiast

Ethiopia flagAdama, Ethiopia

Key Skills

Software

No software listed

Top Subject Matter

My strongest subject matter areas include Artificial Intelligence
Machine Learning
with a focus on Natural Language Processing (NLP)
data annotation
AI model evaluation. I also have strong experience in data analysis

Top Data Types

ImageImage
VideoVideo
TextText

Top Task Types

TranscriptionTranscription
Text SummarizationText Summarization
Fine-tuningFine-tuning
Evaluation/RatingEvaluation/Rating
Data CollectionData Collection
Audio RecordingAudio Recording

Freelancer Overview

I have experience in AI-related work focused on data labeling, annotation, and quality evaluation through academic projects and practical machine learning tasks. I have worked with structured and unstructured datasets, including text-based data used for NLP tasks, where I contributed to cleaning, organizing, and labeling data to improve model training quality. I also have experience reviewing AI-generated outputs and performing basic quality assurance to ensure consistency, accuracy, and relevance. In addition, I have been involved in building and experimenting with machine learning and NLP systems, which gave me hands-on understanding of how labeled data impacts model performance. This includes tasks such as dataset preparation, classification labeling, prompt testing, and evaluating model responses. My background in software engineering and data analysis has helped me approach annotation tasks with attention to detail, consistency, and scalability for AI training workflows.

Labeling Experience

I have experience related to data labeling and AI training through academic and personal machine learning projects

I have experience related to data labeling and AI training through academic and personal machine learning projects. I have worked on dataset preparation, data cleaning, and structuring text data for NLP tasks. I have also performed annotation-style work such as labeling and classifying data, as well as evaluating AI-generated outputs for accuracy and quality. In addition, my experience in machine learning, NLP, and data analysis has given me practical understanding of how training data impacts model performance. I am comfortable working with large datasets, maintaining consistency in labels, and following guidelines for high-quality data annotation and AI evaluation tasks.

Not specified

Education

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School / Institution: Adama Science and Technology University Degree / Program: Bachelor of Science in Software Enginee

Degree not specified

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Work History

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Company not specified

I have experience working on machine learning and AI-related projects involving data preparation, cleaning, and annotati

Location not specified
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