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Anslem Abiode

China flagSHANGHAI, China
ExpertRemotasksAppen

Key Skills

Software

RemotasksRemotasks
AppenAppen

Top Subject Matter

No subject matter listed

Top Data Types

TextText
ImageImage

Top Task Types

Classification
Entity Ner Classification
Text Summarization

Freelancer Overview

Anslem abiode MARKETING/SALES SPECIALIST I executed high-precision data labeling and annotation projects at British Telecommunications to train machine learning models for marketing applications. I specialized in categorizing customer engagement data, social media interactions, and CRM segments to improve audience targeting and predictive campaign performance. My work directly enhanced the accuracy of LLM-based tools used for automated content personalization and customer insight generation. What sets me apart is my unique blend of hands-on data labeling expertise and strategic marketing acumen. I don’t just label data; I understand how labeled datasets drive real business outcomes like conversion and retention. I am highly detail-oriented, proficient in taxonomy development, and skilled at ensuring data quality and consistency for AI training workflows. This dual competency allows me to bridge the gap between raw training data and actionable marketing intelligence.

ExpertEnglishIgbo

Labeling Experience

AI Training Data Labeling Project- British Telecommunications (BT)

TextClassification
Completed a high-volume text classification project for BT via Remotasks, labeling 15,000+ customer support chat logs and social media comments. Tasks included intent classification (billing, outage, technical issue, sales) and sentiment annotation (positive, negative, neutral). Strictly followed BT’s labeling guidelines, achieved >98% inter-annotator agreement, and delivered all batches ahead of schedule. This project directly improved BT’s LLM-based chatbot accuracy and automated customer intent routing.

Completed a high-volume text classification project for BT via Remotasks, labeling 15,000+ customer support chat logs and social media comments. Tasks included intent classification (billing, outage, technical issue, sales) and sentiment annotation (positive, negative, neutral). Strictly followed BT’s labeling guidelines, achieved >98% inter-annotator agreement, and delivered all batches ahead of schedule. This project directly improved BT’s LLM-based chatbot accuracy and automated customer intent routing.

2024 - 2024

Education

J

Jiangsu University, China

MBA (Masters in Business Administration), Human Resources

MBA (Masters in Business Administration)
2023 - 2025
B

Birmingham City. University

MSc, Management and International Business

MSc
2022 - 2023

Work History

B

British Telecommunications Plc

Social Media Marketing Executive

Birmingham
2017 - 2022
G

Guinness Nigeria Plc

Sales Executive

Benin
2015 - 2017