Zack D.

Key Skills

Software

Data Annotation Tech

OneForma

SuperAnnotate

Toloka

Lionbridge

Top Subject Matter

Biomedical research & linguistic evaluation for RLHF datasets (Filipino/English)

Clinical medicine & medical LLM training/evaluation (diagnostic reasoning, safety, bias)

STEM/biomedical content verification and dataset validation

Top Data Types

Text

Video

Medical Dicom

Top Task Types

Red Teaming

Data Collection

RLHF

Transcription

Prompt + Response Writing (SFT)

Freelancer Overview

AI Content Reviewer & Linguistic Evaluator (Bilingual) - Freelance. Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include RLHF, Red-Teaming, and Data Annotation. Education includes Master of Business Administration and Doctor of Medicine and Public Health, Ateneo de Manila University - School of Medicine (2022) and Bachelor of Biology, Ateneo de Manila University (2022). AI-training focus includes data types such as Text, Medical, and DICOM and labeling workflows including Evaluation, Rating, and Red Teaming.

Labeling Experience

AI Content Reviewer & Linguistic Evaluator (Bilingual) - Freelance

OtherText

Freelance AI Content Reviewer and Linguistic Evaluator (bilingual) for high-volume RLHF-focused datasets. Evaluated Large Language Model outputs for linguistic nuance, grammatical correctness, cultural relevance, and translation quality in Filipino and English. Standardized scoring rubrics and performed final-tier checks to catch subtle hallucinations and tone inconsistencies. • Labeled/assessed response quality using bilingual scoring criteria • Reviewed complex translation tasks and flagged subtle errors missed by automated checkers • Ensured data integrity with 98%+ rubric alignment targets • Supported dataset quality control for RLHF training inputs/outputs

2025 - 2026

Biomedical Research & Data Analyst (Biology) - Freelance

OtherTextData Collection

Freelance biomedical research and data analyst work included cross-referencing AI-generated STEM content against primary sources to eliminate factual hallucinations. This involved curating and validating information for technical datasets used in research documentation and quality assurance. Data cleaning and statistical modeling were used to transform raw findings into structured outputs. • Verified factual accuracy of AI-generated technical STEM content using primary sources • Audited content to identify and remove hallucinations in technical datasets • Cleaned and processed research data for downstream structured documentation • Applied statistical modeling to support high-stakes factual validation needs

2024 - 2026

Clinical Reasoning & Logic Optimization (RLHF) - Freelance

OtherRed Teaming

Freelance role focused on optimizing diagnostic accuracy and chain-of-thought reasoning in medical LLM workflows through red-teaming of clinical edge cases. Audited AI-generated medical rationales to improve logical consistency and reduce safety risks in automated healthcare outputs. Targeted mitigation of sycophancy bias by testing model behavior against evidence-based medical standards. • Performed red-teaming on clinical edge cases to identify bias and unsafe behavior • Reviewed and validated model rationales for logical consistency • Assessed alignment with professional clinical guidelines during evaluations • Used medical reasoning checks as part of training/evaluation iterations for LLM outputs

2024 - 2026

Education

Work History