Moses Kaliamoi

Key Skills

Software

Appen

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Top Label Types

Evaluation Rating

Freelancer Overview

I am an experienced linguist and AI training contributor with over six years working in translation, content quality review, and remote language instruction. My background includes hands-on work in text annotation, classification, audio transcription validation, and image/video content review, ensuring data accuracy and adherence to strict guidelines. I have contributed to high-stakes projects in medical, legal, and media localization domains, consistently delivering empathetic, policy-aligned responses and maintaining confidentiality. My strong command of English and Swahili, combined with my academic training in linguistics, sociology, and health records, enables me to handle sensitive content, identify and correct errors, and support robust AI training and data labeling workflows in diverse, multicultural settings. I am highly organized, detail-oriented, and ready to contribute to large-scale, guideline-driven AI projects.

Labeling Experience

Language Tutor & Content Editor (AI Training Content Evaluation)

AppenTextEvaluation Rating

I contributed to AI training by evaluating and reviewing written content for clarity, tone, and alignment with safety guidelines. My work involved assessing complex or sensitive text submissions and ensuring they met established criteria. I maintained consistent standards for content quality in a remote, guideline-driven environment. • Evaluated text for quality and policy compliance • Applied structured guidelines to content review • Managed tasks within a remote AI training workflow • Focused on sensitive and high-risk material

I contributed to AI training by evaluating and reviewing written content for clarity, tone, and alignment with safety guidelines. My work involved assessing complex or sensitive text submissions and ensuring they met established criteria. I maintained consistent standards for content quality in a remote, guideline-driven environment. • Evaluated text for quality and policy compliance • Applied structured guidelines to content review • Managed tasks within a remote AI training workflow • Focused on sensitive and high-risk material

2023

Education

Work History