R G.

Key Skills

Software

Mindrift

Toloka

Internal/Proprietary Tooling

Top Subject Matter

Facial visual datasets / computer vision / multimodal AI training

AI training data quality / analytics

English audio datasets / multimodal AI training / LLM evaluation

Top Data Types

Image

Text

Audio

Top Task Types

Segmentation

Question Answering

Evaluation/Rating

Freelancer Overview

Visual Perception Auditor (AI Training), Audio AI Specialist / Speech Data Evaluator, AI Evaluator / Model Evaluator, Search Relevance Evaluator (Broad Match Specialist), and whatever task is given on a platform. Brings 25+ years of professional experience across complex professional workflows, research, and quality-focused execution. Education includes Bachelor of Arts, University of the Philippines Diliman (1998), Master of Arts, University of the Philippines Diliman (2002), and Graduate Certificate in Distance Education, University of the Philippines Open University (2025). AI-training focus includes data types such as Image, Text, and Audio, and labeling workflows including Evaluation and Rating.

Labeling Experience

Data Analyst (AI Training)

Don't discloseText

Evaluates training data quality for AI models using strict accuracy guidelines. Provides detailed assessments to identify issues and drive improvements in data suitable for model learning. Supports AI training by refining dataset quality for better downstream performance. • Data quality evaluation for AI training • Applying accuracy/rules-based guidelines • Producing detailed assessment reports • Improving datasets to enhance model performance

2026 - Present

Visual Perception Auditor (AI Training)

Don't discloseImage

Performs high-precision frame annotation on facial datasets used for computer vision training and evaluation. Conducts attribute auditing to check consistency and data fidelity for visual model performance. Assesses dataset quality to support improvements to multimodal reasoning and visual perception. • Frame annotation for facial/visual datasets • Attribute auditing and data fidelity checks • Dataset evaluation to improve CV training outcomes • Supports higher-accuracy AI training for visual perception

2026 - Present

AI Data Evaluator (AI Training)

Don't discloseAudio

Performs high-precision audits of English audio datasets to improve multimodal reasoning in large language models. Verifies audio dataset quality to ensure reliability for AI training and evaluation. Supports higher-fidelity AI performance through rigorous quality checks. • English audio quality auditing • Dataset validation for training readiness • Quality verification to improve multimodal outcomes • Audits aimed at better LLM-related reasoning performance

2025 - Present

Education

Work History