Kolade O.

Key Skills

Software

Other

Toloka

iMerit

Top Subject Matter

AI training video dataset preparation

Text annotation for NLP (sentiment/intent/topic)

Online data collection and preparation

Top Data Types

Video

Text

Image

Top Task Types

Data Collection

Classification

Prompt + Response Writing (SFT)

Freelancer Overview

Video data (for AI training) Contributor (LUEL.AI). Core strengths include luel.ai and Other. Education includes Bachelor of Science, University of Lagos (2016) and National Diploma, Lagos State Polytechnic (2009). AI-training focus includes data types such as Video and Text and labeling workflows including Data Collection, Classification, and Prompt + Response Writing (SFT).

Labeling Experience

Prompt Writing Practice (Beginner Level)

OtherTextPrompt + Response Writing (SFT)

Created beginner-level prompts to guide AI responses for varied tasks. Improved prompt clarity by refining instructions and testing prompt outputs. Iteratively adjusted prompts to obtain better results from AI tools. • Wrote simple prompts for AI response guidance • Refined instructions to improve clarity • Tested and evaluated prompt outputs • Iterated on prompts for better performance

2026 - Present

Data Collection & Research Practice

OtherTextData Collection

Performed data collection and research practice by gathering and organizing information from online sources. Ensured collected data was accurate and properly formatted for downstream use. Completed simple research tasks similar to microtask workflows. • Collected data from online sources • Organized datasets for usability • Verified accuracy and proper formatting • Completed microtask-like research assignments

2025 - Present

AI Data Annotation Practice (Self-Learning)

OtherTextClassification

Practiced AI data annotation by labeling and categorizing text data such as sentiment, intent, and topics. Followed sample annotation guidelines to ensure label consistency across entries. Reviewed and corrected simple AI-generated outputs to improve quality and alignment with expected labeling. • Labeled sentiment, intent, and topic categories • Followed provided annotation guidelines for consistency • Reviewed and corrected AI-generated outputs • Focused on producing accurate, guideline-aligned labels

2025 - Present

Video data (for AI training) Contributor (LUEL.AI)

VideoData Collection

Contributed as a video data contributor by organizing self-generated video data on the luel.ai platform according to provided specifications. Performed consistent, guideline-following data entry with high accuracy and attention to detail. Ensured the dataset met project requirements even under short-notice conditions. • Entered and organized video-based data per platform specifications • Checked consistency and correctness against project guidelines • Maintained high accuracy during repetitive data entry • Delivered dataset updates on short notice

2026

Education

Work History