Kelvin Kinoti

Key Skills

Software

Clickworker

CloudFactory

Mindrift

Remotasks

Scale AI

Labelbox

Top Subject Matter

academic writing research

programming and software development

ICT Consultancy and infrastructure

Top Data Types

Audio

Computer Code Programming

Text

Top Task Types

Bounding Box

Computer Programming Coding

Data Collection

Evaluation Rating

Prompt Response Writing SFT

Freelancer Overview

I possess a strong foundation in data labeling and AI training data, primarily leveraging my background in academic writing and programming. My experience as an academic writer has honed my ability to meticulously research, categorize, and curate high-quality information, ensuring accuracy and relevance. This skill set translates seamlessly into data labeling, where precision and attention to detail are paramount. My role as a programming language tutor and ICT consultant has equipped me with technical expertise in programming, web development, and data analysis, enabling me to work effectively with various data formats and tools. In addition to my technical skills, my fluency in multiple languages, including English, Kiswahili, Spanish, and French, enhances my capacity to handle diverse datasets and contribute to multilingual AI models. My hands-on experience with projects, such as developing a web platform for Sign Gate Inc., showcases my ability to implement practical solutions and collaborate with stakeholders. This combination of technical proficiency, linguistic versatility, and a keen eye for detail sets me apart in the field of data labeling and AI training data, making me a valuable asset to any AI development team.

Labeling Experience

Academic content categorization

LabelboxTextEntity Ner ClassificationText Generation

This project involved categorizing academic content and performing Named Entity Recognition (NER) annotation for a comprehensive dataset of research papers and educational materials. The tasks included identifying and classifying various entities such as author names, institutions, keywords, and research topics. Additionally, I was responsible for summarizing text to create concise abstracts and metadata for each document. The project aimed to enhance the discoverability and organisation of academic resources for an educational technology platform. The scope of the project included labeling over 10,000 documents, with a strict adherence to quality measures such as double-checking entity accuracy, ensuring consistency in classification, and maintaining a high level of precision in summarization. This work required a deep understanding of academic formatting and terminology, as well as proficiency in multiple languages to accurately label and summarise content across diverse linguistic

This project involved categorizing academic content and performing Named Entity Recognition (NER) annotation for a comprehensive dataset of research papers and educational materials. The tasks included identifying and classifying various entities such as author names, institutions, keywords, and research topics. Additionally, I was responsible for summarizing text to create concise abstracts and metadata for each document. The project aimed to enhance the discoverability and organisation of academic resources for an educational technology platform. The scope of the project included labeling over 10,000 documents, with a strict adherence to quality measures such as double-checking entity accuracy, ensuring consistency in classification, and maintaining a high level of precision in summarization. This work required a deep understanding of academic formatting and terminology, as well as proficiency in multiple languages to accurately label and summarise content across diverse linguistic

2019 - 2024

Education

Work History