Rafiu Jimoh

Key Skills

Software

Labelbox

Appen

Top Subject Matter

Computer Vision

Content Moderation and Classification

AI Model Training and Evaluation

Top Data Types

Image

Text

Document

Top Task Types

Bounding Box

Classification

Freelancer Overview

AI Data Annotation Specialist – Image Annotation & Object Detection. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox, Appen, and Outlier. Education includes Bachelor of Science, Obafemi Awolowo University. AI-training focus includes data types such as Image and Text and labeling workflows including Bounding Box, Classification, and Evaluation.

Labeling Experience

AI Data Annotation Specialist – AI Model Training Support & Evaluation

Text

As part of AI model training projects at Outlier, I provided structured feedback and participated in evaluation tasks to improve AI outputs. My responsibilities included assessing the performance of text-based AI systems and suggesting enhancements. This evaluation work was crucial to optimizing model functionality in production environments. • Conducted detailed assessments of AI-generated responses. • Followed evaluation protocols and used feedback platforms provided by Outlier. • Helped fine-tune AI models by rating their outputs according to quality benchmarks. • Supported continuous AI model improvement initiatives.

As part of AI model training projects at Outlier, I provided structured feedback and participated in evaluation tasks to improve AI outputs. My responsibilities included assessing the performance of text-based AI systems and suggesting enhancements. This evaluation work was crucial to optimizing model functionality in production environments. • Conducted detailed assessments of AI-generated responses. • Followed evaluation protocols and used feedback platforms provided by Outlier. • Helped fine-tune AI models by rating their outputs according to quality benchmarks. • Supported continuous AI model improvement initiatives.

2023 - Present

AI Data Annotation Specialist – Content Evaluation & Classification

AppenTextClassification

I categorized text data and visual content for content moderation and AI model training projects at Appen and Outlier. This involved flagging sensitive data for review and ensuring adherence to project-specific labeling rules. My work contributed directly to the accuracy and relevancy of large-scale textual datasets used in AI content classification. • Used proprietary and industry-standard tools for efficient data handling. • Performed detailed text classification and evaluation tasks. • Ensured all content met ethical and compliance standards. • Supported ongoing content curation and quality control processes.

I categorized text data and visual content for content moderation and AI model training projects at Appen and Outlier. This involved flagging sensitive data for review and ensuring adherence to project-specific labeling rules. My work contributed directly to the accuracy and relevancy of large-scale textual datasets used in AI content classification. • Used proprietary and industry-standard tools for efficient data handling. • Performed detailed text classification and evaluation tasks. • Ensured all content met ethical and compliance standards. • Supported ongoing content curation and quality control processes.

2023 - Present

AI Data Annotation Specialist – Image Annotation & Object Detection

LabelboxImageBounding Box

As an AI Data Annotation Specialist at Appen and Outlier, I labeled objects in images using bounding boxes and segmentation techniques to support machine learning projects. The work focused on accurately identifying patterns to help improve computer vision model performance. I was responsible for following annotation guidelines and conducting quality assurance on large-scale datasets. • Utilized software such as Labelbox and CVAT for labeling and segmentation. • Performed extensive object detection and image classification tasks. • Adapted quickly to new labeling tools and project requirements. • Contributed to high-quality dataset preparation for AI training.

As an AI Data Annotation Specialist at Appen and Outlier, I labeled objects in images using bounding boxes and segmentation techniques to support machine learning projects. The work focused on accurately identifying patterns to help improve computer vision model performance. I was responsible for following annotation guidelines and conducting quality assurance on large-scale datasets. • Utilized software such as Labelbox and CVAT for labeling and segmentation. • Performed extensive object detection and image classification tasks. • Adapted quickly to new labeling tools and project requirements. • Contributed to high-quality dataset preparation for AI training.

2023 - Present

Education

Work History