Olayiwola Agbejenbi

Key Skills

Software

Data Annotation Tech

iMerit

Mercor

Micro1

OneForma

Mindrift

Scale AI

Surge AI

Toloka

Top Subject Matter

Computer Vision

Nlp Domain Expertise

General AI Training Data

Top Data Types

Image

Text

Document

Top Task Types

Bounding Box

Data Collection

RLHF

Segmentation

Freelancer Overview

Freelance AI Data Annotator & Trainer. Core strengths include Remotasks, Data Annotation Tech, and N. Education includes Bachelor of Technology, Federal University / Polytechnic (2023). AI-training focus includes data types such as Image and Text and labeling workflows including Bounding Box, Evaluation, and Rating.

Labeling Experience

Data Collection & Research Volunteer

TextData Collection

As a data collection and research volunteer, I structured and organized textual survey response data for academic research. I applied extensive data cleaning, formatting, and documentation standards suitable for AI training data pipelines. I ensured dataset validity, completeness, and consistency prior to analysis.• Supported faculty-led research requiring rigorous data preparation.• Learned and enforced best practices in data quality enforcement.• Developed robust dataset documentation protocols for AI utility.• Handled survey data to meet analytical and model training requirements.

As a data collection and research volunteer, I structured and organized textual survey response data for academic research. I applied extensive data cleaning, formatting, and documentation standards suitable for AI training data pipelines. I ensured dataset validity, completeness, and consistency prior to analysis.• Supported faculty-led research requiring rigorous data preparation.• Learned and enforced best practices in data quality enforcement.• Developed robust dataset documentation protocols for AI utility.• Handled survey data to meet analytical and model training requirements.

2023 - Present

AI Content Reviewer & Prompt Engineer (Contract)

Data Annotation TechText

As an AI content reviewer and prompt engineer, I evaluated AI-generated LLM responses for accuracy, coherence, and adherence to safety standards. I created high-quality prompts and adversarial test cases to challenge LLM behavior and identified policy-violating or unsafe content for moderation. My work informed subsequent model fine-tuning cycles through detailed justifications and preference ratings.• Categorized and flagged harmful or biased outputs for safety evaluation.• Provided written feedback to support LLM trainers and researchers.• Performed content moderation as part of AI safety initiatives.• Used DataAnnotation.tech and Outlier AI for LLM evaluation and rating.

As an AI content reviewer and prompt engineer, I evaluated AI-generated LLM responses for accuracy, coherence, and adherence to safety standards. I created high-quality prompts and adversarial test cases to challenge LLM behavior and identified policy-violating or unsafe content for moderation. My work informed subsequent model fine-tuning cycles through detailed justifications and preference ratings.• Categorized and flagged harmful or biased outputs for safety evaluation.• Provided written feedback to support LLM trainers and researchers.• Performed content moderation as part of AI safety initiatives.• Used DataAnnotation.tech and Outlier AI for LLM evaluation and rating.

2023 - Present

Freelance AI Data Annotator & Trainer

RemotasksImageBounding Box

As a freelance AI data annotator and trainer, I labeled over 15,000 data points across image, text, audio, and video datasets for machine learning models. My tasks included performing bounding box and polygon segmentation, sentiment classification, and named entity recognition for multiple global clients. I also contributed to RLHF pipelines and conducted QA reviews on annotated datasets.• Managed large-scale annotation projects across varied modalities (image, text, audio, video).• Consistently maintained a 97%+ accuracy rate in all annotation tasks.• Used tools like Label Studio, Scale AI Tasker, and Appen Connect for task completion.• Collaborated remotely with international teams to meet tight deadlines.

As a freelance AI data annotator and trainer, I labeled over 15,000 data points across image, text, audio, and video datasets for machine learning models. My tasks included performing bounding box and polygon segmentation, sentiment classification, and named entity recognition for multiple global clients. I also contributed to RLHF pipelines and conducted QA reviews on annotated datasets.• Managed large-scale annotation projects across varied modalities (image, text, audio, video).• Consistently maintained a 97%+ accuracy rate in all annotation tasks.• Used tools like Label Studio, Scale AI Tasker, and Appen Connect for task completion.• Collaborated remotely with international teams to meet tight deadlines.

2023 - Present

Education

Work History