Anabella Ferrari

Key Skills

Software

Labelbox

Remotasks

Scale AI

Other

Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Top Task Types

Audio Recording

Evaluation Rating

Prompt Response Writing SFT

Text Generation

Translation Localization

Freelancer Overview

ndustrial Engineer and AI Data Labeling & LLM Evaluation Specialist with experience in AI training projects focused on text, audio, and video data. Proven background in rubric-based evaluation, rating, ranking, and text classification of LLM outputs in Spanish and English, ensuring high quality, accuracy, and strict adherence to detailed guidelines across general and STEM-related content. Strong analytical skills, high attention to detail, and consistent performance in deadline-driven environments. Engineering training supports structured reasoning, quality control, and reliable decision-making for large-scale AI training and data labeling workflows.

Labeling Experience

Multilingual Static Comparison – Audio Data Collection

Scale AIAudioEmotion RecognitionAction Recognition

Audio data labeling project focused on the recording and collection of multilingual conversational speech for AI training purposes. The project involved recording scripted and semi-scripted conversations following strict guidelines related to pronunciation, clarity, naturalness, and audio quality. Content was produced in multiple languages and reviewed to ensure consistency, accuracy, and compliance with project-specific requirements for speech and voice model training.

Audio data labeling project focused on the recording and collection of multilingual conversational speech for AI training purposes. The project involved recording scripted and semi-scripted conversations following strict guidelines related to pronunciation, clarity, naturalness, and audio quality. Content was produced in multiple languages and reviewed to ensure consistency, accuracy, and compliance with project-specific requirements for speech and voice model training.

2025 - 2025

Cookies – LLM Training (Rubric-Based Evaluation)

Scale AITextText GenerationEvaluation Rating

Rubric-based evaluation project focused on assessing large language model (LLM) outputs for AI training purposes. The project involved evaluating, scoring, and ranking AI-generated responses according to detailed rubrics, with emphasis on instruction following, factual accuracy, coherence, and linguistic quality in Spanish and English. Tasks included comparative analysis, content quality review, and consistent application of guidelines to support model improvement.

Rubric-based evaluation project focused on assessing large language model (LLM) outputs for AI training purposes. The project involved evaluating, scoring, and ranking AI-generated responses according to detailed rubrics, with emphasis on instruction following, factual accuracy, coherence, and linguistic quality in Spanish and English. Tasks included comparative analysis, content quality review, and consistent application of guidelines to support model improvement.

2025 - 2025

Education

Work History