Kota Sasaki

Key Skills

Software

Appen

OneForma

SuperAnnotate

Telus

Figure Eight

Mercor

Micro1

Top Subject Matter

Social media/content moderation

Large Language Model (LLM) evaluation

Top Data Types

Text

Document

Top Task Types

RLHF

Evaluation/Rating

Transcription

Data Collection

Freelancer Overview

Social Media Content Relevance Evaluator (Appen Butler Hill). Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen and RWS Group. Education includes High School Diploma, Itabashi Yutoku High School (2015) and Bachelor of Business Administration, Asia University (2019). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Data Annotator

TextEvaluation Rating

Research, providing credit to original authors and enabling readers to deliver relevant material.

Research, providing credit to original authors and enabling readers to deliver relevant material.

2024 - Present

LLM Content Evaluator (RWS Group)

Text

I evaluated the relevancy and quality of LLM-generated content based on user prompts to determine which output was superior. This role involved following precise instructions for rating AI responses and identifying errors or inappropriate information. My contributions helped train and refine large language models to enhance their performance for end users. • Compared AI-generated text outputs for quality and accuracy • Followed detailed rubrics for systematic evaluation • Identified response problems such as bias or hallucination • Helped improve large language model performance for diverse user needs

I evaluated the relevancy and quality of LLM-generated content based on user prompts to determine which output was superior. This role involved following precise instructions for rating AI responses and identifying errors or inappropriate information. My contributions helped train and refine large language models to enhance their performance for end users. • Compared AI-generated text outputs for quality and accuracy • Followed detailed rubrics for systematic evaluation • Identified response problems such as bias or hallucination • Helped improve large language model performance for diverse user needs

2023 - 2024

Social Media Content Relevance Evaluator (Appen Butler Hill)

AppenText

I evaluated posts on social media for relevance to improve ad and search result alignment. The work required careful attention to language, context, and appropriateness of content to user queries. I consistently assessed content quality according to established guidelines and standards. • Reviewed a variety of textual social media posts • Applied rating criteria to judge content and search relevance • Worked within client-provided quality assurance frameworks • Contributed actionable feedback for algorithm improvement

I evaluated posts on social media for relevance to improve ad and search result alignment. The work required careful attention to language, context, and appropriateness of content to user queries. I consistently assessed content quality according to established guidelines and standards. • Reviewed a variety of textual social media posts • Applied rating criteria to judge content and search relevance • Worked within client-provided quality assurance frameworks • Contributed actionable feedback for algorithm improvement

2019 - 2020

Education

Work History