Yuka I.

Key Skills

Software

OneForma

Other

Appen

Top Subject Matter

LLM evaluation support and transcription QA

LLM response evaluation

LLM response evaluation and summarization QA

Top Data Types

Audio

Text

Image

Document

Top Task Types

Transcription

Question Answering

Entity (NER) Classification

Object Detection

Audio Recording

Emotion Recognition

Segmentation

Classification

Freelancer Overview

One forma — Audio annotation and transcription. Brings 26+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include OneForma, Other, and Appen. Education includes Associate of Arts, Fuji Women's Junior College (1997). AI-training focus includes data types such as Audio, Text, and Image and labeling workflows including Transcription, Evaluation, and Rating.

Labeling Experience

LLM Response Evaluator (Independent Contractor) - Outlier AI

AppenTextSegmentationClassification

You provide LLM response evaluation services as an independent contractor with a focus on prompt-based tasks. You evaluate outputs for relevance, correctness, and overall quality against expected criteria. This work requires strong analytical thinking and the ability to review AI-generated responses accurately. • LLM response evaluation • Evaluation of prompt and summarization tasks • Quality and accuracy checks • Review of AI-generated summaries

2025 - Present

Outlier AI (January 2025–Present) — LLM response evaluation

OtherText

Performed LLM response evaluation on prompts and generated outputs. Assessed summarization and instruction-following quality using predefined rubrics. Focused on spotting failures in relevance, correctness, and completeness. • LLM response evaluation • Prompt and output quality assessment • Summarization quality checks • Rubric-based rating and verification

2025 - Present

One forma (May 2025–Present) — LLM response evaluation

OneFormaText

Evaluated LLM responses based on quality, correctness, and task adherence criteria. Reviewed prompt and output pairs to identify issues such as inaccuracies and inconsistencies. Provided quality judgments to support iterative improvement of AI systems. • LLM response scoring/rating • Prompt + response evaluation • Error identification and QA feedback • Quality verification and compliance checks

2025 - Present

Data Labeling and Quality Assessment Specialist - TELUS International

AppenImageSegmentationClassification

You work on labeling and evaluation tasks for online maps and image-related datasets. Responsibilities include data labeling across multiple categories and supporting text-based sentiment and entity annotations. The role requires accuracy, consistency, and familiarity with structured annotation and QA processes. • Image labeling for object detection and segmentation • Image classification and text sentiment annotation • Named entity recognition and part-of-speech tagging • Audio annotation and online maps data support

2020 - Present

TELUS International — Sentiment annotation

OtherTextEmotion Recognition

Performed sentiment annotation for text data to support analysis and model training. Labeled sentiment polarity/intensity based on instructions and context cues. Completed quality checks to ensure labels were accurate and consistent. • Sentiment annotation • Context-based sentiment judgment • QA review and consistency checks • Following labeling guidelines

2020 - Present

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Education

Work History