Priscilla Tofanello Otero

Key Skills

Software

Appen

OneForma

Scale AI

Other

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Document

Video

Top Task Types

Audio Recording

Data Collection

Diagnosis

RLHF

Translation Localization

Freelancer Overview

I’m a data annotation expert with over 5 years of experience specializing in math-based AI training. I’ve contributed to projects involving mathematical reasoning, equation solving, symbolic manipulation, and step-by-step logic verification, helping improve the performance of LLMs in tasks that require precision and consistency. With fluency in English, Spanish, and Portuguese, I also bring multilingual support to QA and prompt engineering. My strong analytical skills, combined with attention to detail and pedagogical insight, allow me to deliver high-quality, structured datasets for education-focused and technical AI models.

Labeling Experience

Math Annotator

OtherTextText GenerationRLHF

As a Math Annotator at Highbrow, I was responsible for creating, reviewing and annotating a wide variety of mathematical content for AI training purposes. This included generating step-by-step solutions, verifying the accuracy of problem-solving logic, and labeling educational datasets for machine learning models. I worked on tasks involving arithmetic, algebra, geometry, and logic-based reasoning, ensuring clarity, consistency, and pedagogical alignment. I also participated in QA processes, identifying edge cases and improving dataset quality for better model performance.

As a Math Annotator at Highbrow, I was responsible for creating, reviewing and annotating a wide variety of mathematical content for AI training purposes. This included generating step-by-step solutions, verifying the accuracy of problem-solving logic, and labeling educational datasets for machine learning models. I worked on tasks involving arithmetic, algebra, geometry, and logic-based reasoning, ensuring clarity, consistency, and pedagogical alignment. I also participated in QA processes, identifying edge cases and improving dataset quality for better model performance.

2024

AI Data Annotation – Mathematics & RLHF Projects

Scale AITextRLHFEvaluation Rating

Worked on several AI training projects focused on mathematical reasoning, logical deduction, and human feedback for large language models. Tasks included evaluating step-by-step math solutions, scoring responses using detailed rubrics, refining prompts, and comparing model completions for quality assurance. Participated in multilingual labeling tasks (English and Portuguese), including conversation annotation and contextual understanding. Maintained high accuracy in rubric-based grading and followed strict QA protocols.

Worked on several AI training projects focused on mathematical reasoning, logical deduction, and human feedback for large language models. Tasks included evaluating step-by-step math solutions, scoring responses using detailed rubrics, refining prompts, and comparing model completions for quality assurance. Participated in multilingual labeling tasks (English and Portuguese), including conversation annotation and contextual understanding. Maintained high accuracy in rubric-based grading and followed strict QA protocols.

2022 - 2024

Education

Work History