Popoola D.

Key Skills

Software

Remotasks

Labelbox

Top Subject Matter

Natural Language Processing (NLP)

Chatbot/Natural Language Processing

Computer Vision

Top Data Types

Text

Image

Top Task Types

Classification

Freelancer Overview

Data Labeler / AI Annotation Specialist (Text Annotation Project). Core strengths include Remotasks and Labelbox. AI-training focus includes data types such as Text and Image and labeling workflows including Classification, Evaluation, and Rating.

Labeling Experience

Data Labeler / AI Annotation Specialist (Image Labeling Task)

LabelboxImageClassification

Tagged and classified objects and elements in images for computer vision model training. Ensured precise annotation by following visual guidelines and project requirements. Contributed to the development of datasets used for object detection and image recognition. • Annotated large-volume image datasets for AI projects. • Verified label accuracy to meet quality benchmarks. • Employed Labelbox and Scale AI as primary annotation tools. • Maintained consistency and high standards in image labeling.

2022 - Present

Data Labeler / AI Annotation Specialist (Chatbot Response Evaluation)

RemotasksText

Assessed and rated AI-generated chatbot responses for accuracy, relevance, and quality. Worked with project guidelines to evaluate the effectiveness of conversational AI models. Maintained detailed evaluation records to support model improvements. • Utilized ChatGPT and related platforms for conversational data. • Applied scoring rubrics to rate AI-generated replies. • Contributed to NLP improvement and AI alignment tasks. • Ensured unbiased, thorough analysis of chatbot output.

Present

Data Labeler / AI Annotation Specialist (Text Annotation Project)

RemotasksTextClassification

Labeled and categorized large datasets of text for machine learning applications. Followed specific annotation guidelines to ensure accuracy for natural language processing tasks. Reviewed and corrected annotated text data to optimize model performance. • Annotated intent, entity, and sentiment for varied text inputs. • Applied quality control to ensure consistency and reduce noise. • Utilized Remotasks, Labelbox, and Scale AI platforms. • Supported AI training workflows by categorizing and tagging textual data.

Present

Education

Work History