Silas Wanyonyi

Key Skills

Software

CVAT

Top Subject Matter

AI/NLP datasets

prompt engineering

machine learning model support

Top Data Types

Text

Image

Top Task Types

Classification

Freelancer Overview

AI Trainer / Data Annotator. Core strengths include CVAT, N, and A. Education includes Diploma in Electrical and Electronics Engineering, N/A. AI-training focus includes data types such as Text and labeling workflows including Classification.

Labeling Experience

AI Trainer / Data Annotator

CVATTextClassification

As an AI Trainer and Data Annotator at RWS Group, I labeled and categorized large text datasets to support AI and NLP model training. I reviewed, corrected, and validated annotations to enhance data quality and model accuracy. I also contributed to prompt writing and evaluation tasks to support AI system improvement. • Consistently followed structured taxonomies and project guidelines. • Collaborated remotely with global teams to meet deadlines. • Utilized the CVAT tool for annotation and dataset management. • Maintained high quality assurance and accuracy standards.

As an AI Trainer and Data Annotator at RWS Group, I labeled and categorized large text datasets to support AI and NLP model training. I reviewed, corrected, and validated annotations to enhance data quality and model accuracy. I also contributed to prompt writing and evaluation tasks to support AI system improvement. • Consistently followed structured taxonomies and project guidelines. • Collaborated remotely with global teams to meet deadlines. • Utilized the CVAT tool for annotation and dataset management. • Maintained high quality assurance and accuracy standards.

2023 - 2025

Remote AI & Data Projects Contributor

TextClassification

As part of various remote AI and data projects, I worked on preparing and annotating training datasets for machine learning purposes. My responsibilities included participating in prompt engineering, data validation, and error detection for model refinement. I ensured the overall integrity and quality of datasets through systematic review and correction. • Conducted dataset categorization, annotation, and documentation tasks. • Performed error analysis and dataset validation in collaboration with teams. • Supported prompt writing and evaluation for AI models. • Applied data preprocessing techniques for improved machine learning outcomes.

As part of various remote AI and data projects, I worked on preparing and annotating training datasets for machine learning purposes. My responsibilities included participating in prompt engineering, data validation, and error detection for model refinement. I ensured the overall integrity and quality of datasets through systematic review and correction. • Conducted dataset categorization, annotation, and documentation tasks. • Performed error analysis and dataset validation in collaboration with teams. • Supported prompt writing and evaluation for AI models. • Applied data preprocessing techniques for improved machine learning outcomes.

Not specified

Education

Work History