Abdihamid Omar

Key Skills

Software

Appen

Clickworker

CloudFactory

CrowdSource

Data Annotation Tech

Mindrift

OneForma

Remotasks

Scale AI

Toloka

Labelbox

Top Subject Matter

Academic Content Analysis and Summarization

Programming Education and Tutoring

ICT Infrastructure and Consultancy

Top Data Types

Audio

Computer Code Programming

Text

Top Task Types

Computer Programming Coding

Prompt Response Writing SFT

Question Answering

Text Generation

Translation Localization

Freelancer Overview

I have a solid background in data labeling and AI training data, leveraging my experience in academic writing and programming. My role as an Academic Writer has refined my ability to meticulously research, categorize, and curate high-quality information, ensuring precision and relevance. This expertise seamlessly translates to data labeling, where accuracy and attention to detail are crucial. Additionally, my work as a Programming Language Tutor and ICT Consultant has equipped me with technical skills in programming, web development, and data analysis, enabling me to work effectively with diverse data formats and tools. A key project that highlights my data labeling capabilities involved categorizing academic content and performing Named Entity Recognition (NER) annotation for a large dataset of research papers and educational materials. Utilizing tools like Labelbox, I identified and classified various entities, created concise summaries, and ensured consistency and accuracy throughout the labeling process. My fluency in multiple languages, including English, Kiswahili, Spanish, and French, further enhances my ability to contribute to multilingual AI models. 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.

Labeling Experience

Academic Content Categorization and NER Annotation

LabelboxTextEntity Ner ClassificationClassification

In this project, I was responsible for categorizing academic content and performing Named Entity Recognition (NER) annotation on a comprehensive dataset of research papers and educational materials. The scope of the project included identifying and classifying entities such as author names, institutions, keywords, and research topics. Additionally, I summarized texts to create concise abstracts and metadata for each document. The project aimed to enhance the discoverability and organization of academic resources for an educational technology platform. The project involved labeling over 10,000 documents, ensuring strict adherence to quality measures such as double-checking entity accuracy, maintaining consistency in classification, and delivering high-precision summaries. My role required a deep understanding of academic terminology and formatting, as well as proficiency in multiple languages to accurately label and summarize content across diverse datasets.

In this project, I was responsible for categorizing academic content and performing Named Entity Recognition (NER) annotation on a comprehensive dataset of research papers and educational materials. The scope of the project included identifying and classifying entities such as author names, institutions, keywords, and research topics. Additionally, I summarized texts to create concise abstracts and metadata for each document. The project aimed to enhance the discoverability and organization of academic resources for an educational technology platform. The project involved labeling over 10,000 documents, ensuring strict adherence to quality measures such as double-checking entity accuracy, maintaining consistency in classification, and delivering high-precision summaries. My role required a deep understanding of academic terminology and formatting, as well as proficiency in multiple languages to accurately label and summarize content across diverse datasets.

2022 - 2022

Education

Work History