John Aluko

Key Skills

Software

Clickworker

Appen

CVAT

Data Annotation Tech

Labelbox

OneForma

SuperAnnotate

Toloka

Top Subject Matter

Human-AI Collaboration

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Top Data Types

Text

Document

Top Task Types

Classification

Bounding Box

Polygon

Polyline

Object Detection

Text Generation

Question Answering

Text Summarization

Transcription

Data Collection

Freelancer Overview

I have hands on experience in data labeling and AI training data tasks, including image annotation, text classification, metadata tagging, data validation, and quality assurance. I am skilled at following detailed guidelines, maintaining consistency across datasets, and identifying edge cases to ensure high quality training data for machine learning models. What sets me apart is my strong attention to detail, quick adaptability, and reliable turnaround time. My background in visual design also strengthens my ability to work effectively on image based and multimodal annotation projects, especially those involving computer vision and content review.

Labeling Experience

Freelance AI Data Annotation and Research Contributor

ClickworkerTextClassification

As a Freelance AI Data Annotation and Research Contributor, I performed data annotation, labeling, and intent classification on multiple AI projects. My work included refining prompts, conducting structured web research, and validation of AI-generated outputs. I followed strict project guidelines while working with large language models to enhance their response quality. • Labeled and classified text data and user intents for AI models. • Designed and refined prompts to guide language model output. • Supported fact-checking and claim verification for AI responses. • Used platforms like Clickworker and Atlas Capture and internal/proprietary tooling.

As a Freelance AI Data Annotation and Research Contributor, I performed data annotation, labeling, and intent classification on multiple AI projects. My work included refining prompts, conducting structured web research, and validation of AI-generated outputs. I followed strict project guidelines while working with large language models to enhance their response quality. • Labeled and classified text data and user intents for AI models. • Designed and refined prompts to guide language model output. • Supported fact-checking and claim verification for AI responses. • Used platforms like Clickworker and Atlas Capture and internal/proprietary tooling.

2022 - Present

Image Annotator

ImageBounding Box

At Remotasks, I worked on data annotation projects focused on preparing high quality datasets for AI and machine learning models. My scope of work included image and text annotation, object labeling and bounding boxes, classification, segmentation, metadata tagging, and data validation across large scale datasets. I also handled edge case identification and guideline based content review to ensure consistency across annotations. The projects involved high volume datasets, often requiring the accurate annotation and review of thousands of data points within strict turnaround timelines. To maintain quality, I adhered closely to project specific annotation guidelines, performed regular self quality checks, ensured label consistency, and followed established QA standards such as accuracy thresholds, consensus reviews, and feedback driven revisions to meet client expectations.

At Remotasks, I worked on data annotation projects focused on preparing high quality datasets for AI and machine learning models. My scope of work included image and text annotation, object labeling and bounding boxes, classification, segmentation, metadata tagging, and data validation across large scale datasets. I also handled edge case identification and guideline based content review to ensure consistency across annotations. The projects involved high volume datasets, often requiring the accurate annotation and review of thousands of data points within strict turnaround timelines. To maintain quality, I adhered closely to project specific annotation guidelines, performed regular self quality checks, ensured label consistency, and followed established QA standards such as accuracy thresholds, consensus reviews, and feedback driven revisions to meet client expectations.

2022 - 2023

Education

Work History