Azeez Abdullahi

Key Skills

Software

Appen

Label Studio

Top Subject Matter

Multilingual Natural Language Processing

Speech and Language Data Annotation

Computational Linguistics

Top Data Types

Text

Image

Video

Top Task Types

Transcription

Data Collection

Computer Programming/Coding

Freelancer Overview

Artificial Data Services Specialist (TELUS International / Appen Global / OneForma). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen, Label Studio, and N. Education includes Bachelor of Arts, University of Haifa (2020). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Transcription.

Labeling Experience

Artificial Data Services Specialist (TELUS International / Appen Global / OneForma)

AppenText

I conducted linguistic evaluations, content annotation, and transcription for multilingual AI and NLP projects. My tasks included annotating and justifying linguistic data, performing sentiment analysis, and collaborating on large-scale datasets. I evaluated AI-generated outputs for cultural, grammatical, and semantic accuracy. • Improved data precision by 20% through structured annotation feedback. • Participated in the multilingual LLM training phase for enhanced model comprehension. • Completed over 1,200 annotation tasks with a 98% accuracy rating. • Provided justifications and corrections for edge-case handling in AI models.

I conducted linguistic evaluations, content annotation, and transcription for multilingual AI and NLP projects. My tasks included annotating and justifying linguistic data, performing sentiment analysis, and collaborating on large-scale datasets. I evaluated AI-generated outputs for cultural, grammatical, and semantic accuracy. • Improved data precision by 20% through structured annotation feedback. • Participated in the multilingual LLM training phase for enhanced model comprehension. • Completed over 1,200 annotation tasks with a 98% accuracy rating. • Provided justifications and corrections for edge-case handling in AI models.

2022 - Present

Freelance Linguistic Annotator & Translator

Label StudioTextTranscription

I conducted phonetic transcription, entity tagging, and syntax classification for research datasets across multiple languages. My role focused on ensuring linguistic quality and cultural sensitivity in annotation. I managed multilingual projects and worked with various annotation and translation platforms. • Contributed linguistic annotation to a Portuguese-Hebrew voice recognition dataset. • Used platforms such as Label Studio, Smartcat, and Transifex. • Localized and annotated web content for startups and research purposes. • Ensured accuracy and consistency in multilingual annotated datasets.

I conducted phonetic transcription, entity tagging, and syntax classification for research datasets across multiple languages. My role focused on ensuring linguistic quality and cultural sensitivity in annotation. I managed multilingual projects and worked with various annotation and translation platforms. • Contributed linguistic annotation to a Portuguese-Hebrew voice recognition dataset. • Used platforms such as Label Studio, Smartcat, and Transifex. • Localized and annotated web content for startups and research purposes. • Ensured accuracy and consistency in multilingual annotated datasets.

2020 - 2021

Research Assistant – Linguistics and Communication Department (University of Haifa)

TextData Collection

I collected and annotated large sets of conversational data to support academic research and linguistic modeling for AI chatbots. This involved developing frameworks for comparing Hebrew and English language interactions for AI training. I also authored and edited research work on computational linguistics. • Supported cross-cultural communication and semantics research projects. • Built conversational datasets for language modeling and AI training. • Developed evaluation standards for chatbot comparison across languages. • Published insights on cultural linguistics in AI-driven systems.

I collected and annotated large sets of conversational data to support academic research and linguistic modeling for AI chatbots. This involved developing frameworks for comparing Hebrew and English language interactions for AI training. I also authored and edited research work on computational linguistics. • Supported cross-cultural communication and semantics research projects. • Built conversational datasets for language modeling and AI training. • Developed evaluation standards for chatbot comparison across languages. • Published insights on cultural linguistics in AI-driven systems.

2018 - 2020

Education

Work History