Awele Muogbo

Key Skills

Software

Other

Labelbox

AWS SageMaker

Appen

Clickworker

Data Annotation Tech

Google Cloud Vertex AI

Mercor

Micro1

OneForma

Remotasks

Scale AI

Top Subject Matter

Language AI/LLM Evaluation

Language AI Evaluation

Top Data Types

Text

Image

Document

Top Task Types

Classification

Computer Programming Coding

Prompt Response Writing SFT

Evaluation Rating

Text Summarization

Question Answering

Text Generation

Object Detection

Cuboid

Segmentation

Freelancer Overview

AI Language Evaluation / Generalist (Aether Project, Outlier). Core strengths include Other. Education includes Master of Social Work, Australian Catholic University (2024). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Data Labeller and Annotator

LabelboxClassification

As a Data Labeller and Annotator at Turing, I worked on annotation and labelling tasks for AI and machine learning projects spanning text, image, audio, video, and multimodal data. I performed named entity recognition, sentiment analysis, bounding box labelling, semantic segmentation, classification, tagging, and transcription review. Quality assurance, consistency, and compliance with evolving guidelines were key focuses throughout my work. • Conducted verification and correction of labels and taxonomy on both structured and unstructured data. • Collaborated remotely with distributed teams to resolve ambiguous labeling cases. • Contributed to the creation of reliable datasets for downstream model development and evaluation. • Utilized annotation platforms such as Labelbox, CVAT, Doccano, Prodigy, SuperAnnotate, Scale AI, V7, and Amazon SageMaker Ground Truth.

As a Data Labeller and Annotator at Turing, I worked on annotation and labelling tasks for AI and machine learning projects spanning text, image, audio, video, and multimodal data. I performed named entity recognition, sentiment analysis, bounding box labelling, semantic segmentation, classification, tagging, and transcription review. Quality assurance, consistency, and compliance with evolving guidelines were key focuses throughout my work. • Conducted verification and correction of labels and taxonomy on both structured and unstructured data. • Collaborated remotely with distributed teams to resolve ambiguous labeling cases. • Contributed to the creation of reliable datasets for downstream model development and evaluation. • Utilized annotation platforms such as Labelbox, CVAT, Doccano, Prodigy, SuperAnnotate, Scale AI, V7, and Amazon SageMaker Ground Truth.

2024 - 2026

Data Annotator and Labeller

LabelboxClassification

As a Data Annotator and Labeller at YOHRConsultancy, I handled data labeling and annotation across text, image, audio, and video formats for machine learning projects. I ensured high-quality output by rigorously following annotation policies and taxonomy standards. My responsibilities included routine review and validation of annotated datasets and rapid adaptation to updated project requirements. • Produced clean, structured, and accurately labeled training data for model testing and development. • Maintained quality benchmarks and confidentiality with sensitive datasets. • Consistently handled repetitive, detail-oriented annotation tasks under deadline pressure. • Used annotation tools such as Labelbox, CVAT, Doccano, Prodigy, SuperAnnotate, Scale AI, V7, and Amazon SageMaker Ground Truth.

As a Data Annotator and Labeller at YOHRConsultancy, I handled data labeling and annotation across text, image, audio, and video formats for machine learning projects. I ensured high-quality output by rigorously following annotation policies and taxonomy standards. My responsibilities included routine review and validation of annotated datasets and rapid adaptation to updated project requirements. • Produced clean, structured, and accurately labeled training data for model testing and development. • Maintained quality benchmarks and confidentiality with sensitive datasets. • Consistently handled repetitive, detail-oriented annotation tasks under deadline pressure. • Used annotation tools such as Labelbox, CVAT, Doccano, Prodigy, SuperAnnotate, Scale AI, V7, and Amazon SageMaker Ground Truth.

2022 - 2024

Education

Work History