Yakub A.

Key Skills

Software

Label Studio

Top Subject Matter

Audio evaluation for Nigerian English linguistics and Everyday Conversation (Nigerian languages: English, Yoruba)

NLP for patents plus domain datasets (chemical and agricultural)

Legal Services & Contract Review

Top Data Types

Audio

Text

Document

Top Task Types

Audio Recording

Entity (NER) Classification

Freelancer Overview

Language Contributor (Remote) — African Voice. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Label Studio. Education includes Bachelor of Science, University of Benin (2021) and ALX Data Analytics, Explore AI Academy (2023). AI-training focus includes data types such as Audio and Text and labeling workflows including Audio Recording and Entity (NER) Classification.

Labeling Experience

Data Analyst (Remote) — Betafeld LLC

Label StudioTextEntity (NER) Classification

Performed manual annotation for named entity recognition (NER) to produce high-quality datasets for AI model training. Conducted advanced relation extraction on patents to improve AI-driven natural language processing (NLP) model performance using annotation tooling. Annotated and interpreted complex chemical and agricultural datasets to enable domain-specific AI solution development. • NER data labeling with 97% annotation accuracy. • Relation extraction on patents. • Annotation/interpretation for chemical and agricultural datasets. • Documentation through technical reports and leadership presentations.

2024 - 2024

Language Contributor (Remote) — African Voice

AudioAudio Recording

Produced high-quality audio recordings for Nigerian English and Yoruba datasets intended for AI training, focusing on natural pronunciation, accent authenticity, and conversational flow. Applied strict quality criteria including clarity, volume, background noise, length, and naturalness before submission. Completed 45+ structured prompts in the Everyday Conversation domain with consistent attention to detail in a controlled quiet environment. • Data creation for AI training datasets involving Nigerian languages. • Quality assurance through self-assessment against guidelines. • Consistency checking by comparing against reference examples. • Timed, prompt-based recording sessions (1 minute 30 seconds+).

2024 - 2024

Education

Work History