Kenshin Y.

Key Skills

Software

Don't disclose

Top Subject Matter

LLM response evaluation for RLHF tuning (accuracy, safety, helpfulness, ground-truth verificationedge-case identification)

Top Data Types

Text

Document

Top Task Types

RLHF

Tracking

Freelancer Overview

Independent Contractor — Data Annotation (LLM response evaluation for RLHF tuning). Brings <1 year of professional experience across complex professional workflows, research, and quality-focused execution. Education includes Bachelor of Science, University of Michigan-Dearborn (2025) and CompTIA Network+ (2026). AI-training focus includes data types such as Text and labeling workflows including RLHF and Tracking.

Labeling Experience

Data Annotation

TextTrackingRLHF

No description provided.

2026 - Present

Independent Contractor — Data Annotation (LLM response evaluation for RLHF tuning)

Don't discloseTextRLHF

Provides RLHF-oriented evaluation and ranking of LLM responses to support reinforcement learning tuning. Verifies factual accuracy and reduces hallucinations by cross-referencing model claims with authoritative technical documentation. Identifies edge cases and logical inconsistencies in multi-turn, domain-specific conversational outputs. • Evaluated and ranked responses for accuracy, safety, and helpfulness • Cross-referenced claims against trusted repositories for ground-truth verification • Detected factual contradictions and subtle logical fallacies in multi-turn prompts • Flagged edge cases to inform RLHF tuning quality improvements

2026 - Present

Education

Work History