Feyikemi F.

Key Skills

Software

Toloka

Appen

Clickworker

LabelImg

Labelbox

SuperAnnotate

Telus

Top Subject Matter

Computer vision dataset labeling for AI/ML training

Text dataset labeling for AI/ML training

Image Labelling

Top Data Types

Image

Video

Text

Top Task Types

Bounding Box

Segmentation

Classification

Freelancer Overview

Data Annotator at TELUS International (listed as TOLOKA — Data Annotator). Brings 10+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Toloka. Education includes Bachelor of Engineering, Ladoke Akintola University of Technology (2018) and IBM Data Science Certification, IBM (2022). AI-training focus includes data types such as Image, Video, and Text and labeling workflows including Bounding Box, Segmentation, and Classification.

Labeling Experience

Data Annotator at TOLOKA

TolokaTextClassification

Labeled and reviewed text datasets used for AI and machine learning project development. Ensured accuracy and consistency across different labeling tasks by following provided annotation guidelines. Contributed to dataset quality improvements through validation and correction of labeling issues. • Text dataset annotation and review • Consistency checks across labeling tasks • Error identification during QA collaboration • Completion of assigned labeling deliverables

2024 - Present

Data Annotator at TOLOKA

TolokaVideoSegmentation

Annotated and validated video-related elements as part of AI/ML dataset preparation. Produced segmentation labels, including polygon-style delineations, to improve the training signal for computer vision tasks. Used consistent metadata tagging practices to support dataset usability and model performance. • Polygon-style segmentation for visual data • Metadata tagging to enrich labeled samples • Review and correction of labeling outputs • Coordination with QA/project management on errors and rework

2024 - Present

Data Annotator at TELUS International (listed as TOLOKA — Data Annotator)

TolokaImageBounding Box

Performed data annotation and review work on image, video, and text datasets to support AI and machine learning projects. Applied bounding box annotations to help train computer vision models and improve overall dataset quality. Collaborated with QA teams and project managers to detect labeling errors and complete tasks by assigned deadlines. • Bounding box annotation for computer vision dataset labeling • Annotation guideline adherence to ensure consistency • Quality checks in collaboration with QA • Timely completion of projects within deadlines

2024 - Present

Education

Work History