Adams Charles

Key Skills

Software

Appen

Other

Remotasks

Top Subject Matter

Nlp Domain Expertise

Computer Vision

Large Language Models

Top Data Types

Text

Image

Top Task Types

Classification

Freelancer Overview

AI Data Labeller / Annotator (Freelance). Core strengths include Appen and Other. Education includes Bachelor of Science, University of Nairobi (2026). AI-training focus includes data types such as Text and labeling workflows including Classification.

Labeling Experience

AI Data Labeller / Annotator (Freelance)

AppenTextClassification

As an AI Data Labeller and Annotator, I labeled and annotated over 12,000 data points across multiple projects. I performed sentiment analysis, entity recognition (NER), bounding box annotation, semantic segmentation, and RLHF-style preference ranking according to detailed guidelines. My work contributed to high-accuracy training datasets for large language models and computer vision systems. • Labeled text, image, and multimodal data with over 99% accuracy • Collaborated to refine labeling guidelines and reduce error rates by 50% • Conducted quality audits and inter-annotator agreement checks • Used tools such as Labelbox, CVAT, Scale Rapid, and proprietary platforms

As an AI Data Labeller and Annotator, I labeled and annotated over 12,000 data points across multiple projects. I performed sentiment analysis, entity recognition (NER), bounding box annotation, semantic segmentation, and RLHF-style preference ranking according to detailed guidelines. My work contributed to high-accuracy training datasets for large language models and computer vision systems. • Labeled text, image, and multimodal data with over 99% accuracy • Collaborated to refine labeling guidelines and reduce error rates by 50% • Conducted quality audits and inter-annotator agreement checks • Used tools such as Labelbox, CVAT, Scale Rapid, and proprietary platforms

2023 - Present

Data Entry / Annotation Specialist

OtherTextClassification

As a Data Entry and Annotation Specialist, I managed large-scale data processing and labeling projects with a focus on quality. I contributed to dataset curation for AI model development, especially involving edge cases and quality validation. My role included calibrating labeling criteria and continuous feedback within a team. • Maintained project accuracy rates above 98% • Supported annotation workflows for model training • Participated in collaborative quality improvement loops • Delivered under tight deadlines and project targets

As a Data Entry and Annotation Specialist, I managed large-scale data processing and labeling projects with a focus on quality. I contributed to dataset curation for AI model development, especially involving edge cases and quality validation. My role included calibrating labeling criteria and continuous feedback within a team. • Maintained project accuracy rates above 98% • Supported annotation workflows for model training • Participated in collaborative quality improvement loops • Delivered under tight deadlines and project targets

2025 - 2026

Personal AI Data Project (Independent)

OtherTextClassification

For my personal AI data project, I curated and labeled a custom dataset involving 20,000 examples focused on Kenyan language sentiment analysis or image classification. I utilized open-source tools for the annotation work to support machine learning experimentation. The project was completed independently as part of self-learning and AI research advancement. • Labeled large text and image datasets using open-source tools • Developed guidelines for consistent sentiment annotation • Focused on regional, multilingual language nuances • Demonstrated autonomous management of full project lifecycle

For my personal AI data project, I curated and labeled a custom dataset involving 20,000 examples focused on Kenyan language sentiment analysis or image classification. I utilized open-source tools for the annotation work to support machine learning experimentation. The project was completed independently as part of self-learning and AI research advancement. • Labeled large text and image datasets using open-source tools • Developed guidelines for consistent sentiment annotation • Focused on regional, multilingual language nuances • Demonstrated autonomous management of full project lifecycle

2022 - 2022

Education

Work History