Zeno D.

Key Skills

Software

Doccano

Label Studio

Top Subject Matter

LLM Evaluation

Preference Ranking

Data Annotation

Top Data Types

Audio

Text

Top Task Types

Question Answering

Transcription

Freelancer Overview

Knowledge Base Data Annotation Specialist. Brings 15+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Doccano, Label Studio, and Dify. AI-training focus includes data types such as Text and Audio and labeling workflows including Question Answering, Transcription, and Evaluation.

Labeling Experience

LLM Prompt and Response Evaluation Specialist

Text

I executed manual annotation, quality rating, and prompt version comparisons for large language models across multiple platforms. My work focused on identifying hallucinations, verifying boundary cases, and providing structured evaluation of LLM responses. Dify's Log & Annotation tool was heavily used for bulk rating and systematic verification. • Designed input templates and boundary test cases for prompt evaluation. • Manually annotated and rated model outputs for hallucinations and risks. • Tracked hit rates and exported batch results for prompt version accuracy. • Compared and evaluated the performance of different LLMs on standard test sets.

2023 - Present

Voice Data Transcription and Annotation Specialist

Label StudioAudioTranscription

I participated in the transcription, proofreading, and annotation of voice data within a cloud voice call center environment. My tasks involved correcting ASR errors, marking speaker roles, and annotating audio clips for noise, accent, and quality indicators. Label Studio and Praat were deployed for both text and audio-level annotation and quality assurance operations. • Proofread and annotated ASR transcriptions using Label Studio. • Applied Praat for slicing audio, detecting silence, and analyzing sound quality. • Marked noise level, accent type, and speaker roles on audio recordings. • Established data quality standards and mechanisms for abnormal sample detection.

2022 - 2023

Knowledge Base Data Annotation Specialist

DoccanoTextQuestion Answering

I managed the manual labeling and standardization of enterprise knowledge base data to support an AI-powered Q&A system. My responsibilities included annotating business questions, editing standard answers, configuring embedding models, and optimizing similarity thresholds. I utilized Dify and Doccano for annotation tasks, supported by Python scripts for text segmentation and denoising. • Manually labeled high-frequency business questions and edited standard answers. • Configured semantic matching models and similarity thresholds. • Used Doccano for entity extraction and paragraph classification annotation. • Iteratively improved data quality through hit rate tracking and Badcase analysis.

2021 - 2023

Education

Work History