Ubong J.

Key Skills

Software

Don't disclose

Top Subject Matter

Chatbot training and telecom customer support conversations

Telecom support conversation evaluation for AI training

Telecom customer issue documentation for conversational data preparation

Top Data Types

Text

Top Task Types

Classification

Freelancer Overview

Freelance Data Annotator (Remote). Brings 11+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Bachelor of Science, Akwa Ibom State University (2011) and Primary School Education, Oxford Primary School (2005). AI-training focus includes data types such as Text and labeling workflows including Classification, Evaluation, and Rating.

Labeling Experience

Customer Support Assistant

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Your responsibilities included documenting customer issues and resolutions while maintaining clear communication. While this was primarily customer support, the role supported structured capture of telecom-related information that can be used for labeled conversational datasets. The work included producing consistent, well-documented records suitable for review. • Assisted with telecom-related customer inquiries • Documented customer issues and resolutions • Maintained professional, clear communication • Produced structured records that can inform conversational data

2025 - Present

Conversational dataset evaluation (Telecom Support)

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You evaluated telecom customer support conversations to assess accuracy and relevance for downstream use. Your work emphasized attention to detail and aligning outputs with expected conversational intents. You contributed to improved dataset quality through structured evaluation. • Reviewed telecom support conversation quality • Rated accuracy and relevance of responses • Ensured labeled outcomes met guideline expectations • Helped improve dataset usability for AI training

2022 - 2023

Freelance Data Annotator (Remote)

Don't discloseTextClassification

Freelance remote work focused on annotating and labeling conversational datasets to support chatbot training. You followed annotation guidelines to keep outputs consistent across examples. You performed data quality assurance by checking the accuracy and relevance of labeled content. • Annotated conversational dataset samples for chatbot training • Applied annotation guidelines for consistency • Verified quality and accuracy of labels • Supported relevance-focused labeling for telecom dialogue content

2021 - 2023

Education

Work History