Victor P.

Key Skills

Software

Don't disclose

Scale AI

Top Subject Matter

LLM alignment

Safety Domain Expertise

and response quality optimization

Top Data Types

Text

Image

Document

Top Task Types

RLHF

Fine-tuning

Entity (NER) Classification

Freelancer Overview

Senior AI Content Specialist | DataFlow Solutions. Brings 9+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Don't disclose and Scale AI. AI-training focus includes data types such as Text and Image and labeling workflows including RLHF, Fine-tuning, and Entity (NER) Classification.

Labeling Experience

Senior AI Content Specialist | DataFlow Solutions

Don't discloseTextRLHF

Performed RLHF workflows to rank and improve model outputs based on helpfulness, honesty, and harmlessness. Led evaluation and iteration cycles to increase response quality for downstream user experiences. • Defined criteria and preference signals aligned with RLHF reward goals. • Used prompt engineering to probe model behavior for coding, logic, and creative reasoning. • Coordinated large-scale labeling and feedback collection through a team of annotators. • Partnered on bias mitigation using targeted adversarial red-teaming.

2023 - Present

Data Labeling Lead | Global Intelligence AI

Scale AIImageFine-tuning

Managed large-scale data annotation projects supporting computer vision and NLP model training. Designed labeling taxonomies and ensured high dataset accuracy through systematic audits and QA processes. • Built custom labeling taxonomies for specialized legal, medical, and technical domains. • Oversaw dataset audits to maintain a consistent accuracy rate for training sets. • Implemented automated pre-labeling scripts to increase throughput by 25%. • Streamlined QA workflows to improve label consistency and readiness for model training.

2020 - 2022

Content Analyst & Data Evaluator | Freelance/Contract

Don't discloseTextEntity (NER) Classification

Provided subject matter expert labeling for technical domains to ensure LLM responses met specific industry standards. Refined training data for chatbot and virtual assistant behavior focused on natural language understanding and context retention. • Authored edge-case scenarios to train models for nuanced human interactions and emotional intelligence. • Produced labeled examples consistent with defined NLU and context requirements. • Evaluated and iterated dataset content to improve conversational adherence to standards. • Prepared training materials supporting domain-specific response quality.

2018 - 2020

Education

Work History