Oniosun Opemipo

Key Skills

Software

CVAT

Label Studio

Other

Top Subject Matter

Computer Vision (vehicles, retail items)

Natural Language Processing (sentiment, intent, NER)

Speech Recognition

Top Data Types

Image

Text

Audio

Video

Top Task Types

Bounding Box

Classification

Transcription

Tracking

Segmentation

Entity Ner Classification

Object Detection

Freelancer Overview

Data Annotation Trainee (Image Annotation). Core strengths include CVAT, Label Studio, and Other. Education includes Bachelor of Science, University of Ibadan (2019). AI-training focus includes data types such as Image, Text, and Audio and labeling workflows including use of Bounding Boxes, Segmentation, Classification, and Transcription.

Labeling Experience

Data Annotation Trainee (Video Annotation)

CVATVideoTracking

I performed object tracking for moving vehicles in video frames to assist in training detection and tracking models. The work involved careful identification and consistent tracking of objects across multiple video sequences. I ensured accuracy by closely following detailed project guidelines at every stage. • Tagged and tracked multiple object instances simultaneously across frames. • Used segment and trajectory methods for improved tracking reliability. • Provided input for optimizing tracking workflow efficiencies. • Participated in QA reviews to assay tracking consistency and accuracy.

I performed object tracking for moving vehicles in video frames to assist in training detection and tracking models. The work involved careful identification and consistent tracking of objects across multiple video sequences. I ensured accuracy by closely following detailed project guidelines at every stage. • Tagged and tracked multiple object instances simultaneously across frames. • Used segment and trajectory methods for improved tracking reliability. • Provided input for optimizing tracking workflow efficiencies. • Participated in QA reviews to assay tracking consistency and accuracy.

2026 - 2026

Data Annotation Trainee (Audio Annotation)

OtherAudioTranscription

I transcribed and categorized four audio datasets, distinguishing between speech, noise, silence, and music. This work supported the creation of training data for speech recognition systems. Close adherence to audio labeling standards ensured consistent and reliable outputs. • Conducted precise listening and transcription across varied audio samples. • Maintained detailed logs for data traceability and project review. • Performed quality checks on own and peers’ transcriptions. • Coordinated with supervisors to refine categorization procedures.

I transcribed and categorized four audio datasets, distinguishing between speech, noise, silence, and music. This work supported the creation of training data for speech recognition systems. Close adherence to audio labeling standards ensured consistent and reliable outputs. • Conducted precise listening and transcription across varied audio samples. • Maintained detailed logs for data traceability and project review. • Performed quality checks on own and peers’ transcriptions. • Coordinated with supervisors to refine categorization procedures.

2026 - 2026

Data Annotation Trainee (Text Annotation)

Label StudioTextClassification

I conducted approximately twenty-five text annotation tasks, focusing on sentiment and intent classification. My responsibilities included categorizing text data by positive, negative, or neutral sentiment, as well as tagging customer support intents. I also engaged in named entity recognition for identifying names, locations, and organizations. • Applied detailed guidelines to achieve accurate sentiment and intent categorization. • Worked collaboratively to resolve ambiguity in text samples. • Assisted in guideline development for complex annotation cases. • Regularly participated in reviews to ensure high-quality labeled text data.

I conducted approximately twenty-five text annotation tasks, focusing on sentiment and intent classification. My responsibilities included categorizing text data by positive, negative, or neutral sentiment, as well as tagging customer support intents. I also engaged in named entity recognition for identifying names, locations, and organizations. • Applied detailed guidelines to achieve accurate sentiment and intent categorization. • Worked collaboratively to resolve ambiguity in text samples. • Assisted in guideline development for complex annotation cases. • Regularly participated in reviews to ensure high-quality labeled text data.

2026 - 2026

Data Annotation Trainee (Image Annotation)

CVATImageBounding Box

I annotated eight image datasets of vehicles and retail items using bounding boxes to support computer vision model training initiatives. My work contributed directly to segmentation and object detection tasks for various computer vision projects. I adhered strictly to annotation guidelines to maximize output accuracy and consistency. • Responsible for labeling and segmenting images to meet project specifications. • Collaborated with team members to ensure consistency across datasets. • Reviewed and corrected mistakes as part of quality control. • Adapted to evolving instructions and project needs across multiple datasets.

I annotated eight image datasets of vehicles and retail items using bounding boxes to support computer vision model training initiatives. My work contributed directly to segmentation and object detection tasks for various computer vision projects. I adhered strictly to annotation guidelines to maximize output accuracy and consistency. • Responsible for labeling and segmenting images to meet project specifications. • Collaborated with team members to ensure consistency across datasets. • Reviewed and corrected mistakes as part of quality control. • Adapted to evolving instructions and project needs across multiple datasets.

2026 - 2026

Education

Work History