Philip

Key Skills

Software

Other

Data Annotation Tech

Top Subject Matter

AI model training data evaluation and customer experience for chatbots (financial and general domains)

Financial domain AI training data: accounting

Tax Domain Expertise

Top Data Types

Text

Document

Top Task Types

RLHF

Freelancer Overview

AI Operations & Annotation Specialist | Hugo Talent Hub Upskill Program. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and Data Annotation Tech. Education includes AI Operations and Customer Experience Certificate, Hugo Talent Hub (Hugo Academy) (2026) and Associate Chartered Accountant, ICAN (2026). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and RLHF.

Labeling Experience

Financial Domain Contributor (AI Data Annotation) | Independent / DataAnnotation.tech

Data Annotation TechTextRLHF

Annotated and reviewed AI-generated financial content to support LLM training datasets. Evaluated model outputs on financial reasoning tasks by identifying factual errors, incorrect calculations, misleading statements, and formatting issues. Created RLHF preference pairs by ranking responses to accounting and finance prompts based on accuracy and completeness. • Wrote and validated finance-specific prompts for instruction-following/SFT datasets • Performed red-teaming and adversarial testing for financial scenarios to surface safety and hallucination risks • Added accounting Q&A pairs and structured financial explanations for training • Ensured diversity and complexity coverage in labeled data

2025 - Present

AI Operations & Annotation Specialist | Hugo Talent Hub Upskill Program

OtherText

Completed a certified AI Operations and Customer Experience training program with hands-on evaluation of AI-generated outputs. Labeled and rated responses for quality, relevance, factual accuracy, adherence to instructions, and hallucination/unsafe content. Applied evaluation frameworks to assess chatbot response tone, helpfulness, and appropriateness. • RLHF-style preference and ranking exercises between model responses • Text classification and entity labeling annotation tasks • Hallucination and safety identification in AI outputs • Guideline-following and inter-annotator consistency practices

2026

Education

Work History