Kolawole Promise

Key Skills

Software

CVAT

iMerit

Mindrift

Don't disclose

Top Subject Matter

AI model training

computer vision

image recognition

Top Data Types

Image

Text

Audio

Video

Top Task Types

Object Detection

Entity (NER) Classification

Transcription

Tracking

Polygon

Bounding Box

Classification

Point/Key Point

Cuboid

Polyline

Text Generation

Question Answering

Evaluation/Rating

Data Collection

Freelancer Overview

AI Trainer – RWS Project. Core strengths include Labelbox, Label Studio, and CVAT. Education includes National Diploma, Federal Polytechnic, Ede (2022). AI-training focus includes data types such as Image, Text, and Audio and labeling workflows including Object Detection, Entity (NER) Classification, and Transcription.

Labeling Experience

AI Trainer – Video Annotation

CVATVideoTracking

As an AI Trainer, I handled the labeling of video data with a focus on object detection, tracking, and activity recognition. I played a key role in producing labeled video datasets for use in training and evaluating surveillance and activity-aware AI models. Projects emphasized team collaboration and adherence to evolving annotation standards. • Labeled video segments with bounding box and tracking annotations. • Detected and classified objects and activities in multi-frame video sequences. • Used CVAT and Scale AI platforms to manage large video datasets. • Ensured annotation accuracy through regular reviews and feedback sessions.

As an AI Trainer, I handled the labeling of video data with a focus on object detection, tracking, and activity recognition. I played a key role in producing labeled video datasets for use in training and evaluating surveillance and activity-aware AI models. Projects emphasized team collaboration and adherence to evolving annotation standards. • Labeled video segments with bounding box and tracking annotations. • Detected and classified objects and activities in multi-frame video sequences. • Used CVAT and Scale AI platforms to manage large video datasets. • Ensured annotation accuracy through regular reviews and feedback sessions.

2023 - 2024

AI Trainer – Audio Annotation

Label StudioAudioTranscription

During my tenure as an AI Trainer, I conducted detailed audio annotation, focusing on transcription and speaker identification. Ensuring accurate and comprehensive transcriptions, I contributed to building datasets for voice recognition and natural language models. I consistently flagged errors or inconsistencies to improve overall data quality. • Transcribed audio data and identified speakers within recordings. • Collaborated with teams to enhance annotation guidelines and accuracy. • Utilized tools such as Label Studio and Labelbox for audio annotation. • Participated in iterative error analysis to maintain high data fidelity.

During my tenure as an AI Trainer, I conducted detailed audio annotation, focusing on transcription and speaker identification. Ensuring accurate and comprehensive transcriptions, I contributed to building datasets for voice recognition and natural language models. I consistently flagged errors or inconsistencies to improve overall data quality. • Transcribed audio data and identified speakers within recordings. • Collaborated with teams to enhance annotation guidelines and accuracy. • Utilized tools such as Label Studio and Labelbox for audio annotation. • Participated in iterative error analysis to maintain high data fidelity.

2023 - 2024

AI Trainer – Project Nova

LabelboxTextEntity Ner Classification

Within the scope of AI Trainer roles, I performed data labeling and text annotation with emphasis on sentiment analysis and entity recognition. I maintained annotation consistency and accuracy, transcribed various text corpora, and contributed to refining model responses. The experience included iterative evaluations and improvements to annotation protocols. • Annotated and labeled text data for use in NLP models. • Specialized in sentiment analysis and named entity recognition tasks. • Regularly performed error analysis and quality assurance checks. • Used Labelbox and internal tools for efficient text annotation management.

Within the scope of AI Trainer roles, I performed data labeling and text annotation with emphasis on sentiment analysis and entity recognition. I maintained annotation consistency and accuracy, transcribed various text corpora, and contributed to refining model responses. The experience included iterative evaluations and improvements to annotation protocols. • Annotated and labeled text data for use in NLP models. • Specialized in sentiment analysis and named entity recognition tasks. • Regularly performed error analysis and quality assurance checks. • Used Labelbox and internal tools for efficient text annotation management.

2023 - 2024

AI Trainer – RWS Project

LabelboxImageObject Detection

As an AI Trainer on the RWS Project, I was primarily responsible for image annotation tasks including object detection and segmentation. I ensured high-quality labeled image data for machine learning model training and collaborated closely with team members to refine annotation guidelines. Leveraging tools such as Labelbox and CVAT, I helped optimize annotation workflows and enhance data quality. • Labeled and categorized images, focusing on bounding box and segmentation tasks. • Applied quality control processes to achieve a 95% data accuracy rate. • Trained and supported the development of advanced models that improved efficiency and reduced operational costs. • Led a team to label over 50,000 data points using industry-leading annotation software.

As an AI Trainer on the RWS Project, I was primarily responsible for image annotation tasks including object detection and segmentation. I ensured high-quality labeled image data for machine learning model training and collaborated closely with team members to refine annotation guidelines. Leveraging tools such as Labelbox and CVAT, I helped optimize annotation workflows and enhance data quality. • Labeled and categorized images, focusing on bounding box and segmentation tasks. • Applied quality control processes to achieve a 95% data accuracy rate. • Trained and supported the development of advanced models that improved efficiency and reduced operational costs. • Led a team to label over 50,000 data points using industry-leading annotation software.

2023 - 2024

Education

Work History