Elemure Samuel

Key Skills

Software

Label Studio

Appen

Remotasks

Top Subject Matter

Computer Vision

Natural Language Processing

Speech Recognition

Top Data Types

3D Sensor

Image

Text

Audio

Document

Top Task Types

Bounding Box

Entity (NER) Classification

Transcription

Segmentation

Freelancer Overview

AI Data Labelling Specialist (Freelance / Remote Projects). Brings 2+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Label Studio, Appen, and Remotasks. Education includes Bachelor of Science, Federal University Oye-Ekiti (2026). AI-training focus includes data types such as Image, Text, and Audio and labeling workflows including Bounding Box, Entity (NER) Classification, and Transcription.

Labeling Experience

AI Data Labelling Specialist (Freelance / Remote Projects)

RemotasksAudioTranscription

In this role, I conducted audio transcription and speaker labelling tasks as part of speech recognition AI model training. I annotated dialogue, diarised speakers, and reviewed audio segmentations to improve model recognition accuracy. These efforts were aimed at enhancing automated speech recognition systems for a range of clients. • Used platforms such as Remotasks and Appen. • Ensured speaker turns and dialogues were clearly labelled. • Maintained high accuracy in audio-to-text conversions. • Delivered high-quality audio annotations within fast turnaround times.

In this role, I conducted audio transcription and speaker labelling tasks as part of speech recognition AI model training. I annotated dialogue, diarised speakers, and reviewed audio segmentations to improve model recognition accuracy. These efforts were aimed at enhancing automated speech recognition systems for a range of clients. • Used platforms such as Remotasks and Appen. • Ensured speaker turns and dialogues were clearly labelled. • Maintained high accuracy in audio-to-text conversions. • Delivered high-quality audio annotations within fast turnaround times.

2022 - Present

AI Data Labelling Specialist (Freelance / Remote Projects)

AppenTextEntity Ner Classification

I performed named entity recognition and intent classification on large-scale text corpora for natural language processing (NLP) model training. My responsibilities included intent analysis, sentiment annotation, and quality assurance in line with project expectations. I contributed to high recall and precision in AI text model pipelines across multiple projects. • Employed tools such as Appen, Scale AI, and Remotasks. • Conducted manual text annotation with accuracy validation. • Enhanced annotation guidelines for sentiment and intent. • Collaborated with cross-functional teams to refine Datasets.

I performed named entity recognition and intent classification on large-scale text corpora for natural language processing (NLP) model training. My responsibilities included intent analysis, sentiment annotation, and quality assurance in line with project expectations. I contributed to high recall and precision in AI text model pipelines across multiple projects. • Employed tools such as Appen, Scale AI, and Remotasks. • Conducted manual text annotation with accuracy validation. • Enhanced annotation guidelines for sentiment and intent. • Collaborated with cross-functional teams to refine Datasets.

2022 - Present

AI Data Labelling Specialist (Freelance / Remote Projects)

Label StudioImageBounding Box

As a freelance AI Data Labelling Specialist, I labeled and annotated over 50,000 images for various computer vision tasks. These tasks included object detection, segmentation, and classification, following project-specific guidelines to ensure data accuracy for machine learning development. I also performed annotation on multi-modal datasets and supported researchers in refining accuracy protocols. • Used tools such as Label Studio, Scale AI, Appen, Remotasks, and CVAT. • Maintained annotation accuracy above 96%. • Collaborated to improve project guideline clarity and label consistency. • Worked on advanced projects combining image, text, and structured data.

As a freelance AI Data Labelling Specialist, I labeled and annotated over 50,000 images for various computer vision tasks. These tasks included object detection, segmentation, and classification, following project-specific guidelines to ensure data accuracy for machine learning development. I also performed annotation on multi-modal datasets and supported researchers in refining accuracy protocols. • Used tools such as Label Studio, Scale AI, Appen, Remotasks, and CVAT. • Maintained annotation accuracy above 96%. • Collaborated to improve project guideline clarity and label consistency. • Worked on advanced projects combining image, text, and structured data.

2022 - Present

Data Annotation Reviewer (AI Training Hub - Contract)

AppenImageSegmentation

As a Data Annotation Reviewer at AI Training Hub, I supervised and validated image annotations for computer vision projects. This position required enforcing annotation guidelines, reviewing segmentation and bounding box labelling, and ensuring team outputs met the necessary accuracy standards. I maintained ongoing quality control and provided structured feedback to annotation teams. • Reviewed image segmentation, bounding box, and classification labels. • Delivered project-level quality reports to project leads. • Provided training and onboarding resources for labellers. • Supported project delivery cycles for model development.

As a Data Annotation Reviewer at AI Training Hub, I supervised and validated image annotations for computer vision projects. This position required enforcing annotation guidelines, reviewing segmentation and bounding box labelling, and ensuring team outputs met the necessary accuracy standards. I maintained ongoing quality control and provided structured feedback to annotation teams. • Reviewed image segmentation, bounding box, and classification labels. • Delivered project-level quality reports to project leads. • Provided training and onboarding resources for labellers. • Supported project delivery cycles for model development.

2021 - 2022

Education

Work History