Ifeanyi I.

Key Skills

Software

Data Annotation Tech

Appen

Clickworker

Other

Top Subject Matter

Natural language processing (NLP) and text data labeling

Named Entity Recognition (NER) for NLP datasets

Content moderation and quality evaluation

Top Data Types

Text

Audio

Image

Top Task Types

Classification

Transcription

Freelancer Overview

Contributor | Remote AI Training Freelancer (Simulated Text Annotation). Core strengths include N and A. Education includes Bachelor of Science, Imo State University. AI-training focus includes data types such as Text and Audio and labeling workflows including Classification, Entity (NER), and Evaluation.

Labeling Experience

Remote AI Training Freelancer (Simulated Relevance Scoring & Dataset Formatting)

Text

Completed search evaluation and dataset preparation tasks to support relevance judgment labeling. Ranked search results based on relevance criteria and applied structured formatting after cleaning data. Prioritized consistency and accuracy when generating evaluation labels. • Search result relevance ranking • Relevance judgement labeling • Data cleaning and structured dataset formatting • QA-focused consistency control

2026 - Present

Remote AI Training Freelancer (Simulated Audio Transcription)

AudioTranscription

Practiced audio transcription labeling for short-form recordings as part of AI training simulations. Produced text transcripts from audio while maintaining accuracy and adherence to annotation expectations. Applied quality-focused review to improve consistency. • Transcribe short-form audio • Support audio tagging concepts • Maintain transcription accuracy • Perform QA on transcript outputs

2026 - Present

Remote AI Training Freelancer (Simulated Content Moderation)

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Performed simulated content moderation labeling by evaluating text content and applying moderation decisions. Focused on accurately flagging inappropriate or irrelevant content based on provided guidelines. Maintained labeling consistency and performed quality checks on outcomes. • Inappropriate content detection/flagging • Irrelevant content flagging • Moderation suitability evaluation • Label QA and guideline compliance

2026 - Present

Remote AI Training Freelancer (Simulated NER Annotation)

Text

Carried out named entity recognition labeling exercises to identify and classify entities within text. Used contextual cues to ensure entities were correctly located and categorized according to task guidelines. Verified label quality through attention to linguistic detail. • People entity identification • Location entity identification • Organization entity identification • Context analysis and QA validation

2026 - Present

Contributor | Remote AI Training Freelancer (Simulated Text Annotation)

TextClassification

Performed simulated AI data labeling tasks following annotation guidelines and consistency requirements. Labeled text examples for categories such as positive/neutral/negative sentiment and other text classification labels. Focused on maintaining high accuracy under repetitive workflows. • Text classification labeling • Sentiment analysis (positive/neutral/negative) • Guideline adherence and consistency checks • Error detection and QA for labeled outputs

2026 - Present

Education

Work History