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J

John Dave Dacalos

Freelance Data Labeler / AI Trainer at Appen, Appen China, Telus International

Philippines flagCebu City, Philippines
ExpertAppen

Key Skills

Software

AppenAppen

Top Subject Matter

General AI/ML training data (text, image, audio, video) for LLMs and computer vision models

Top Data Types

TextText
ImageImage

Top Task Types

Classification

Freelancer Overview

Freelance Data Labeler / AI Trainer at Appen, Appen China, Telus International. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen. Education includes Bachelor of Science, Cebu Institute of Technology – University (2017). AI-training focus includes data types such as Text and labeling workflows including Classification.

Expert

Labeling Experience

Appen

Freelance Data Labeler / AI Trainer at Appen, Appen China, Telus International

AppenTextClassification
As a freelance data labeler and AI trainer, I annotated and audited various data types for multiple AI/ML projects at Appen and Telus International. My tasks included classification, bounding box annotation, transcription, sentiment analysis, and entity recognition with high audit accuracy. I worked with modern annotation platforms and custom internal tools to ensure AI training dataset quality. • Labeled and reviewed text, images, audio, and video for classification, segmentation, and transcription tasks. • Conducted RLHF-style preference ranking, policy labeling, and safety assessments for LLMs and recommender systems. • Performed QA checks and peer review to maintain labeling standards and inter-annotator agreement. • Documented edge cases and suggested annotation guideline improvements to reduce ambiguity and errors.

As a freelance data labeler and AI trainer, I annotated and audited various data types for multiple AI/ML projects at Appen and Telus International. My tasks included classification, bounding box annotation, transcription, sentiment analysis, and entity recognition with high audit accuracy. I worked with modern annotation platforms and custom internal tools to ensure AI training dataset quality. • Labeled and reviewed text, images, audio, and video for classification, segmentation, and transcription tasks. • Conducted RLHF-style preference ranking, policy labeling, and safety assessments for LLMs and recommender systems. • Performed QA checks and peer review to maintain labeling standards and inter-annotator agreement. • Documented edge cases and suggested annotation guideline improvements to reduce ambiguity and errors.

2019 - Present

Education

C

Cebu Institute of Technology – University

Bachelor of Science, Information Technology

Bachelor of Science
2013 - 2017

Work History

U

Upwork

Customer Support and Data Entry Specialist

Cebu City
2020 - 2022