Robinson Mwachi

Key Skills

Software

Clickworker

CloudFactory

Mercor

Mindrift

Remotasks

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Image

Video

Top Label Types

Cuboid

Text Summarization

Translation Localization

Freelancer Overview

I am an entry-level AI training and data labeling contributor with a strong background in data analysis, statistical interpretation, and visual data handling. Since 2022, I have worked as a freelancer supporting research and academic projects through data cleaning, analysis, summarization, and visualization using tools such as SPSS, R-Studio, and Adobe Creative Suite. This experience has built a solid foundation in working with structured and unstructured data, following detailed guidelines, and ensuring accuracy and consistency in outputs. In addition, I have extensive experience handling image-based and text-based content through infographic design, academic editing, and report writing. I am particularly skilled at simplifying complex information, summarizing analytical results, and supporting localization and clarity of written content. With a strong attention to detail, quality control mindset, and ability to learn new annotation standards quickly, I am well-positioned to contribute effectively to AI training and data labeling projects.

Labeling Experience

Text & Image Annotation Support for Academic and Research Content

MindriftTextText SummarizationTranslation Localization

Contributed to data preparation and annotation-related tasks through academic and research support projects. Responsibilities included summarizing analytical outputs, structuring and cleaning text data, reviewing and categorizing visual materials, and ensuring clarity and consistency in labeled content. Worked with both text-based and image-based datasets to support research interpretation, infographic development, and localized academic content. This role required strict attention to guidelines, accuracy, and quality control skills directly transferable to AI training and data labeling workflows.

Contributed to data preparation and annotation-related tasks through academic and research support projects. Responsibilities included summarizing analytical outputs, structuring and cleaning text data, reviewing and categorizing visual materials, and ensuring clarity and consistency in labeled content. Worked with both text-based and image-based datasets to support research interpretation, infographic development, and localized academic content. This role required strict attention to guidelines, accuracy, and quality control skills directly transferable to AI training and data labeling workflows.

2023 - 2024

Education

Work History