Frennin P.

Key Skills

Software

Scale AI

Don't disclose

Top Subject Matter

LLM evaluation

prompt engineering

AI safety/red-teaming

Top Data Types

Text

Document

Top Task Types

RLHF

Classification

Freelancer Overview

Freelance AI Data Trainer (LLM Evaluator / Data Annotation Specialist) — Multiple Platforms (Scale AI, Remotasks, Appen). Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI and Don't disclose. Education includes Bachelor of Arts, University of the West Indies (2020). AI-training focus includes data types such as Text and labeling workflows including RLHF and Classification.

Labeling Experience

Freelance AI Data Trainer (LLM Evaluator / Data Annotation Specialist) — Multiple Platforms (Scale AI, Remotasks, Appen)

Scale AITextRLHF

Freelance AI Data Trainer performing LLM response evaluation and preference-style ranking for large language model outputs to improve overall quality and alignment. Assessed responses for factual accuracy, instruction adherence, coherence, and bias, and supported red-teaming activities to identify jailbreak and safety vulnerabilities. • Evaluated and ranked 10,000+ LLM responses for quality and correctness • Created prompts for supervised fine-tuning datasets (creative writing, Q&A, reasoning) • Conducted red-teaming to detect jailbreak vulnerabilities • Maintained 97%+ quality scores and flagged items for accuracy bonus pools

2022 - Present

Content Reviewer & Quality Analyst — DataForce by Transperfect

Don't discloseTextClassification

Content Reviewer & Quality Analyst reviewing user-generated and AI-generated text for policy compliance, relevance, and quality at scale. Contributed to internal quality rubrics by providing structured feedback on output quality and annotation guidelines. • Reviewed content for policy compliance and quality standards • Provided structured feedback for AI-generated text outputs • Collaborated with project managers to resolve edge cases in guidelines • Supported rubric development to improve annotation consistency

2020 - 2022

Education

Work History