Emmanuel P.

Key Skills

Software

Appen

CrowdSource

Data Annotation Tech

Google Cloud Vertex AI

Labelbox

Label Studio

OneForma

Remotasks

Top Subject Matter

Linguistic/NLP annotation for Spanish language AI training data

Corpus linguistics semantic annotation and NLP dataset labeling

Top Data Types

Text

Image

Video

Top Task Types

Entity (NER) Classification

Classification

Text Summarization

Evaluation/Rating

Data Collection

Prompt + Response Writing (SFT)

Question Answering

Freelancer Overview

Data Annotator (Freelance). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include N and A. Education includes Bachelor, University of Lagos (2020) and Master, Radboud University (2022). AI-training focus includes data types such as Text and labeling workflows including Entity (NER) Classification and Classification.

Labeling Experience

Data Annotator (Freelance)

TextEntity (NER) Classification

Served as a freelance data annotator for AI model training focused on linguistic processing tasks. Produced high-quality linguistic annotations and transcription to support downstream NLP performance. Applied strict adherence to project and linguistic guidelines while meeting tight deadlines. • Performed in-text classification, sentiment analysis, and named entity recognition (NER) for Spanish data. • Ensured annotation consistency across multiple AI training projects. • Supported data integrity through careful guideline-following and proofreading. • Delivered labeled outputs on schedule for model development requirements.

2022 - 2024

Linguistic Research Assistant (Annotation Project)

TextClassification

Worked as a Linguistic Research Assistant on an annotation project for a corpus linguistics effort. Conducted semantic annotation to create structured labels for Spanish text to support NLP applications. Maintained consistency with an evolving annotation schema and ensured the reliability of labeled outputs. • Performed semantic tagging of Spanish linguistic features. • Proofread automated annotations and validated label accuracy. • Maintained data integrity for NLP dataset quality. • Refined annotation schemas informed by linguistics and cognitive science.

2020 - 2022

Education

Work History