Sylvania Nurjannah

Key Skills

Software

Data Annotation Tech

Appen

Top Subject Matter

No subject matter listed

Top Data Types

Text

Audio

Top Label Types

Evaluation Rating

Segmentation

Classification

Emotion Recognition

Transcription

Freelancer Overview

I have experience in data annotation and AI content evaluation, particularly working with large language model outputs. My work involves reviewing and comparing model responses, assessing them for accuracy, relevance, and guideline compliance, and providing clear reasoning for quality decisions. I have also worked as an ads quality rater, evaluating online advertisements for relevance and policy alignment. I am currently a beginner in audio data annotation, where I work on tasks involving validity checks, segmentation, classification, and transcription. In addition, I have experience in quality-focused roles involving reporting and team coordination. I am comfortable using tools such as Google Workspace, Microsoft Office, Microsoft Teams, Slack, and Zendesk, and I am fluent in English and Indonesian.

Labeling Experience

TA Audio

AppenAudioSegmentationClassification

I am currently working on an audio annotation project where I listen to full recordings and determine whether the data is valid based on platform guidelines. I then segment the audio into shorter clips, transcribe each segment, and label speakers, emotion, and speech conditions such as overlap or background noise.

I am currently working on an audio annotation project where I listen to full recordings and determine whether the data is valid based on platform guidelines. I then segment the audio into shorter clips, transcribe each segment, and label speakers, emotion, and speech conditions such as overlap or background noise.

2025

LLM Data Annotation

Data Annotation TechTextEvaluation Rating

I worked on an LLM evaluation project where I compared two AI-generated responses to the same prompt and selected the better one. I provided written reasoning based on accuracy, clarity, relevance, and guideline adherence. The work followed structured evaluation criteria and included peer review to ensure consistency.

I worked on an LLM evaluation project where I compared two AI-generated responses to the same prompt and selected the better one. I provided written reasoning based on accuracy, clarity, relevance, and guideline adherence. The work followed structured evaluation criteria and included peer review to ensure consistency.

2025

Education

Work History