Timileyin A.

Key Skills

Software

Don't disclose

Label Studio

CVAT

Scale AI

Top Subject Matter

English education

Linguistics Domain Expertise

and technical content verification

Top Data Types

Text

Computer Code Programming

Top Task Types

Classification

Entity (NER) Classification

Bounding Box

RLHF

Freelancer Overview

Educator & Content Evaluator | Arts & Language Education (AI-adjacent content verification for labeling/QA). Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Bachelor of Arts in Education, Ekiti State University (EKSU) (2026) and Introduction to Modern Artificial Intelligence, Cisco. AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Computer Technician Apprentice | Technical Support & Maintenance (labeling/QA-adjacent digital workflow support)

Don't discloseText

Supported AI model evaluation and data labeling workflows through ongoing technical operations related to digital repair tracking and structured maintenance processes. Helped maintain and optimize operational requirements and workflows that can feed labeled datasets and consistent documentation for training. Worked on systems and processes that support verification and cycle optimization for dataset generation. • Assisted with workflow management for a digital repair tracking system • Performed routine maintenance and updates that support reliable record-keeping • Helped troubleshoot hardware/software issues to maintain operational integrity • Supported structured documentation workflows relevant to labeling quality

2026 - Present

Educator & Content Evaluator | Arts & Language Education (AI-adjacent content verification for labeling/QA)

Don't discloseText

Contributed to data labeling and AI training-adjacent workflows by supporting content verification and quality checks of written materials. Assisted in evaluating scripts and texts for correctness in grammar, syntax, and technical clarity. Applied structured assessment methods to refine outputs for downstream AI or dataset usage. • Evaluated and edited written texts and scripts for linguistic accuracy • Performed grammar and syntax verification to support content labeling/QA • Used bilingual code-switching explanations to clarify complex concepts • Supported content refinement suitable for technical communication training data

2026 - Present

Education

Work History