Yonatan Yeshiwas

Key Skills

Software

Toloka

Mindrift

Top Subject Matter

AI model training and data curation

AI model performance and process optimization

Data collection and validation for AI models

Top Data Types

Text

Top Task Types

Data Collection

Freelancer Overview

AI Training & Data Annotation Specialist. Core strengths include Toloka, Mindrift, and Atlas Capture. Education includes Doctor of Philosophy, Addis Ababa University. AI-training focus includes data types such as Text and labeling workflows including Data Collection.

Labeling Experience

Data Collection & Validation Contributor (Atlas Capture)

TextData Collection

At Atlas Capture, I contributed to the collection and validation of data for AI-driven solutions. My responsibility was to ensure that the gathered data met required standards for use in model development. I focused on efficiency, reliability, and thorough data documentation.• Gathered and validated training data for model pipelines • Ensured accuracy and reliability of submitted datasets • Maintained documentation for labeling and validation activities • Supported AI solution development through consistent contributions

At Atlas Capture, I contributed to the collection and validation of data for AI-driven solutions. My responsibility was to ensure that the gathered data met required standards for use in model development. I focused on efficiency, reliability, and thorough data documentation.• Gathered and validated training data for model pipelines • Ensured accuracy and reliability of submitted datasets • Maintained documentation for labeling and validation activities • Supported AI solution development through consistent contributions

Present

AI Training & Data Annotation Specialist (Mindrift AI)

MindriftTextData Collection

I participated in AI training projects, contributing to improved AI capabilities through data annotation. My role required attention to detail and adherence to quality standards in all tasks executed. I collaborated remotely with project teams to achieve project outcomes effectively.• Conducted data labeling and annotation for Mindrift AI initiatives • Assisted in designing and executing tasks for model fine-tuning • Monitored and reviewed data for consistency and completeness • Applied feedback from team leads to improve annotation quality

I participated in AI training projects, contributing to improved AI capabilities through data annotation. My role required attention to detail and adherence to quality standards in all tasks executed. I collaborated remotely with project teams to achieve project outcomes effectively.• Conducted data labeling and annotation for Mindrift AI initiatives • Assisted in designing and executing tasks for model fine-tuning • Monitored and reviewed data for consistency and completeness • Applied feedback from team leads to improve annotation quality

Present

AI Training & Data Annotation Specialist

TolokaTextData Collection

As an AI Training & Data Annotation Specialist, I performed data labeling and annotation tasks to support machine learning models. My work focused on ensuring data quality, accuracy, and efficient task execution for various AI projects. I maintained a high level of consistency and followed strict guidelines on each platform.• Labeled and annotated diverse data types on Toloka, Mindrift AI, and Atlas Capture • Executed tasks to improve AI model performance through structured data input • Validated and collected data for training data pipelines • Delivered reliable results for remote, client-based annotation projects

As an AI Training & Data Annotation Specialist, I performed data labeling and annotation tasks to support machine learning models. My work focused on ensuring data quality, accuracy, and efficient task execution for various AI projects. I maintained a high level of consistency and followed strict guidelines on each platform.• Labeled and annotated diverse data types on Toloka, Mindrift AI, and Atlas Capture • Executed tasks to improve AI model performance through structured data input • Validated and collected data for training data pipelines • Delivered reliable results for remote, client-based annotation projects

Present

Education

Work History