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Anilson Psirylo

Anilson Psirylo

ANGOLA flag
Cuito, Angola
Entry LevelClickworkerAppenGoogle Cloud Vertex AI

Key Skills

Software

ClickworkerClickworker
AppenAppen
Google Cloud Vertex AIGoogle Cloud Vertex AI

Top Subject Matter

No subject matter listed

Top Data Types

TextText
ImageImage
VideoVideo

Top Label Types

Text Generation
Question Answering
Object Detection
Transcription
Evaluation Rating
Data Collection

Freelancer Overview

Experienced Portuguese-speaking data annotator and AI evaluator with a focus on high-quality text and image labeling for LLMs and computer vision models." Habilidades chave: Liste 4–6 skills específicas. Ex.: "Expertise in text classification, sentiment analysis, entity recognition (NER), image bounding boxes/segmentation, multilingual prompt evaluation, RLHF preference ranking, red teaming for safety/hallucinations." Experiência relevante: Mencione plataformas anteriores (mesmo que poucas): "Worked on projects via Remotasks, Appen, Clickworker, DataAnnotation, Outlier – handling Portuguese/English datasets."

Entry LevelEnglish

Labeling Experience

Data Annotation & LLM Evaluation in Portuguese (Freelance / Self-Practice)

TextText Generation
Developed high-quality Portuguese-language datasets for LLM training and evaluation. Performed text classification, sentiment analysis, entity recognition (NER), and response ranking (RLHF-style). Annotated over 2,500 samples with strict adherence to detailed guidelines. Focused on cultural nuances of Angolan/Brazilian Portuguese, achieving 96%+ inter-annotator agreement in quality checks. Used tools such as LabelStudio and platform interfaces (Remotasks/Outlier-style). This experience improved my precision in multilingual data annotation and prepared me for production-level AI projects.

Developed high-quality Portuguese-language datasets for LLM training and evaluation. Performed text classification, sentiment analysis, entity recognition (NER), and response ranking (RLHF-style). Annotated over 2,500 samples with strict adherence to detailed guidelines. Focused on cultural nuances of Angolan/Brazilian Portuguese, achieving 96%+ inter-annotator agreement in quality checks. Used tools such as LabelStudio and platform interfaces (Remotasks/Outlier-style). This experience improved my precision in multilingual data annotation and prepared me for production-level AI projects.

2025 - Present

Education

O

Organização** Coursera – DeepLearning.AI

Licenciatura, Data Annotation & Machine Learning

Licenciatura
2025 - 2026

Work History

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