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Dubris C.

Dubris C.

AI Data Annotator (Remote)

Nigeria flagibadan, Nigeria

Key Skills

Software

AppenAppen
Other

Top Subject Matter

AI/ML model training and LLM data preparation
Artificial Intelligence
Machine Learning

Top Data Types

ImageImage
TextText

Top Task Types

ClassificationClassification

Freelancer Overview

AI Data Annotator (Remote). Core strengths include Appen and Other. Education includes Bachelor of Science, University Of Ibadan (2025). AI-training focus includes data types such as Image and Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Appen

AI Data Annotator (Remote)

AppenAppenImageImage

Annotated images and performed text labeling tasks including text classification, entity recognition, and sentiment analysis following strict AI/ML guidelines. Evaluated and rated model outputs such as chatbot responses, search results, and content generation using relevance, accuracy, coherence, and safety criteria. Built and refined training datasets to support fine-tuning of specific AI model capabilities. • Image labeling per project instructions • Entity recognition and sentiment analysis • Quality review with relevance/accuracy/safety scoring • Dataset creation and refinement for fine-tuning

2023 - Present

Freelance AI Data Annotator & Specialist (Upwork, Remote)

OtherTextText

Provided freelance data annotation and AI model evaluation services for diverse client needs. Conducted AI tutoring by developing and delivering tutoring sessions on fundamental and intermediate AI and machine learning concepts. Created custom learning materials, practical examples, and exercises to support understanding of complex AI topics. • AI data annotation and analysis for client datasets • AI/ML concept tutoring and learning delivery • Creation of exercises and practical examples • Adapting to varying AI domains and scopes

2022 - Present

Freelance AI Data Annotator & Specialist (Lionbridge AI)

OtherTextTextClassificationClassification

Performed high-quality data annotation for AI training datasets across multiple domains using predefined project guidelines. Produced accurate labeled outputs required for downstream AI model development. Managed independent work to meet tight deadlines while maintaining annotation quality. • Dataset annotation aligned to project rules • Accurate delivery of labeled outputs • Independent work within deadline constraints • Consistent quality control

2018 - 2019

Education

U

University Of Ibadan

Bachelor of Science, Economics

Bachelor of Science
2022 - 2025

Work History

F

Flight Attendant Association, New Zealand

CRM Specialist

Wellinton
2023 - 2025