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Dexter Garcia

Dexter Garcia

Professional AI Trainer, AI Evaluator / AI Writer (Independent Contractor)

Philippines flagBatangas, Philippines
$10.00/hrExpertData Annotation TechLabelboxMercor

Key Skills

Software

Data Annotation TechData Annotation Tech
LabelboxLabelbox
MercorMercor
MindriftMindrift
OneFormaOneForma
RemotasksRemotasks
Scale AIScale AI
SuperAnnotateSuperAnnotate
TolokaToloka
TelusTelus
Internal/Proprietary Tooling
Other

Top Subject Matter

Generalist AI
Stem Domain Expertise
Filipino/Tagalog Language

Top Data Types

AudioAudio
DocumentDocument
ImageImage
TextText

Top Task Types

Evaluation/RatingEvaluation/Rating
Text GenerationText Generation
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
ClassificationClassification
Translation/LocalizationTranslation/Localization
Question AnsweringQuestion Answering
Emotion RecognitionEmotion Recognition
Audio RecordingAudio Recording
TranscriptionTranscription
Fine-tuningFine-tuning
RLHFRLHF

Freelancer Overview

Detail-oriented and results-driven professional & bilingual expert with extensive experience in content development & review, academic writing & editing, Gen-AI training, and quality assurance. ● Contributed to GENERALIST AI projects through model response evaluation, comparison, ranking, and prompt creation. ● Developed prompts, golden solutions, and chain-of-thought (COT) for STEM-focused tasks; created challenging prompts to test model reasoning. ● Worked on FILIPINO (Tagalog) language projects involving prompt creation, model evaluation, rubrics and criteria writing, and voice recording. ● Participated in SRT projects using Gala and Halo. ● Contributed to training visual AI through image-based prompts, response, and evaluation. ● Participated in training video-based AI through reviewing and evaluating AI video outputs based on the set user prompt and criteria. ● Worked on Audio recording and voice projects through recording prompts, reviewing utterances, and doing multi-turn voice conversation with AI voice agents/bots.

ExpertTagalogEnglish

Labeling Experience

AI-generated Video Relevance 1

VideoEvaluation Rating
There is a given user prompt, images, and reference video clips. The AI model created a short video clip using the given images and reference video clips. The AI generated video should satisfy the user prompt. The evaluation of the AI output depends on various factors such as relevance to the user prompt,, creativity, and how well did it used the reference images and videos. The text overlays are also evaluated based on the appropriateness of the font, color, contrast, grammar, and localization.

There is a given user prompt, images, and reference video clips. The AI model created a short video clip using the given images and reference video clips. The AI generated video should satisfy the user prompt. The evaluation of the AI output depends on various factors such as relevance to the user prompt,, creativity, and how well did it used the reference images and videos. The text overlays are also evaluated based on the appropriateness of the font, color, contrast, grammar, and localization.

2026 - Present
Data Annotation Tech

Prompt and Rubrics/Criteria Writing

Data Annotation TechTextQuestion AnsweringTranslation Localization
- This project consists of different batches with different main goals. - The first few batches centers on writing prompts based on different provided topics and subjects, followed by batches that centers on checking AI's ability to provide correct, acceptable, and safe response, then followed by writing golden criteria that are expected to be followed by the AI bots, and then onwards to more batches of fine-tuning.

- This project consists of different batches with different main goals. - The first few batches centers on writing prompts based on different provided topics and subjects, followed by batches that centers on checking AI's ability to provide correct, acceptable, and safe response, then followed by writing golden criteria that are expected to be followed by the AI bots, and then onwards to more batches of fine-tuning.

2025 - Present
Data Annotation Tech

Multi-turn conversation with Voice AI

Data Annotation TechAudioFine TuningEvaluation Rating
- In this project, I was tasked to do lots of multi-turn conversations with Voice AI like Gemini and Chat-GPT. - The goal is to evaluate the AI bots ability on different aspects like accuracy, completeness, naturalness, cultural awareness, emotional intent, and others. - Another goal is to evaluate AI-bots ability to transcribe audio in Filipino/Tagalog

- In this project, I was tasked to do lots of multi-turn conversations with Voice AI like Gemini and Chat-GPT. - The goal is to evaluate the AI bots ability on different aspects like accuracy, completeness, naturalness, cultural awareness, emotional intent, and others. - Another goal is to evaluate AI-bots ability to transcribe audio in Filipino/Tagalog

2025
Data Annotation Tech

Voice AI

Data Annotation TechAudioPrompt Response Writing SFTAudio Recording
- In this project, I was tasked to write prompts and even do an audio recording for those prompts. - The main goal is to evaluate and train AI bots in transcribing audio.

- In this project, I was tasked to write prompts and even do an audio recording for those prompts. - The main goal is to evaluate and train AI bots in transcribing audio.

2025

Side-by-side Video Comparison 2

VideoEvaluation Rating
There is a user prompt/request that tells a particular scenario such as "A static shot of a girl walking in a garden." Then, there are two AI-generated outputs A and B. The task is to compare A and B and select which one is better. The factors to consider are the number of correct entities in the output, the accuracy of the video based on the user prompt,, color, contrast, saturation, and overall quality.

There is a user prompt/request that tells a particular scenario such as "A static shot of a girl walking in a garden." Then, there are two AI-generated outputs A and B. The task is to compare A and B and select which one is better. The factors to consider are the number of correct entities in the output, the accuracy of the video based on the user prompt,, color, contrast, saturation, and overall quality.

2026 - 2026

Education

B

Batangas State University

Bachelor of Secondary Education, Mathematics

Bachelor of Secondary Education
2015 - 2019

Work History

E

EMAPTA Versatile Inc.

Statistics Content Developer

Makati
2022 - 2025
S

Study.com

STATISTICS EXPERT Q&A COPYWRITER

California
2022 - 2022