Apakose Ezekiel

Key Skills

Software

Toloka

Top Subject Matter

Financial Domain Expertise

Market Domain Expertise

and crypto content for AI training

Top Data Types

Text

Image

Top Task Types

Classification

Data Collection

Freelancer Overview

Generative AI Content Specialist & Data Annotator. Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Toloka. Education includes Bachelor of Science, Lagos State University (2024) and Certificate, Google Digital Garage (2021). AI-training focus includes data types such as Text and labeling workflows including Classification and Data Collection.

Labeling Experience

Low-resource Language AI Data Annotator (Yoruba corpus – Computational Linguistics Project)

TolokaTextData Collection

Created and curated a structured corpus of oral Yoruba knowledge for computational linguistics-focused AI training data. Performed data annotation and collection for low-resource language model development, with an emphasis on oral and text-based source material. Applied emerging standards and best practices for multilingual AI data curation and SFT prompt tasks. • Designed annotation processes adapted from Toloka methodologies for precision. • Processed and structured diverse language data for model training sets. • Supported responsible and ethical AI data practices in underrepresented language contexts. • Promoted linguistic diversity in corpus construction for AI/NLP.

Created and curated a structured corpus of oral Yoruba knowledge for computational linguistics-focused AI training data. Performed data annotation and collection for low-resource language model development, with an emphasis on oral and text-based source material. Applied emerging standards and best practices for multilingual AI data curation and SFT prompt tasks. • Designed annotation processes adapted from Toloka methodologies for precision. • Processed and structured diverse language data for model training sets. • Supported responsible and ethical AI data practices in underrepresented language contexts. • Promoted linguistic diversity in corpus construction for AI/NLP.

2024 - Present

Generative AI Content Specialist & Data Annotator

TextClassification

Structured, annotated, and evaluated AI-generated threads for finance, market, and crypto domains using detailed labeling taxonomies. Classified outputs for quality, coherence, and instruction-following, including credibility and anomaly flagging under systematic rubrics. Maintained and calibrated editorial metadata directly analogous to data labeling operations. • Developed structured content units for AI training and evaluation workflows. • Verified source reliability with a tier-based system mirrored in many RLHF data pipelines. • Applied cross-platform annotation standards using internal and possibly industry tools. • Produced measurable throughput in annotation and review sessions.

Structured, annotated, and evaluated AI-generated threads for finance, market, and crypto domains using detailed labeling taxonomies. Classified outputs for quality, coherence, and instruction-following, including credibility and anomaly flagging under systematic rubrics. Maintained and calibrated editorial metadata directly analogous to data labeling operations. • Developed structured content units for AI training and evaluation workflows. • Verified source reliability with a tier-based system mirrored in many RLHF data pipelines. • Applied cross-platform annotation standards using internal and possibly industry tools. • Produced measurable throughput in annotation and review sessions.

2024 - Present

Education

Work History