Pilar Medrano

Key Skills

Software

Data Annotation Tech

OneForma

Remotasks

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Medical Dicom

Text

Top Task Types

RLHF

Text Generation

Translation Localization

Freelancer Overview

Detail-oriented AI training specialist with experience in prompt engineering, response evaluation, and quality assurance for large language model development. Strong background in biology, with the ability to create and assess domain-specific content across molecular biology, genetics, and related fields. Skilled in analyzing AI-generated outputs for accuracy, clarity, and pedagogical value, and in reviewing the work of other trainers to ensure alignment with rigorous quality standards. Passionate about advancing AI’s ability to reason, explain, and communicate complex scientific concepts effectively.

Labeling Experience

AI trainer

Data Annotation TechTextText Generation

The project focused on improving model performance across a variety of domains. Responsibilities included crafting diverse input scenarios, assessing outputs for factual accuracy, coherence, and appropriateness, and delivering structured feedback to guide iterative model training. Contributed to annotation guidelines and quality assurance efforts to ensure consistency and reliability in training data.

The project focused on improving model performance across a variety of domains. Responsibilities included crafting diverse input scenarios, assessing outputs for factual accuracy, coherence, and appropriateness, and delivering structured feedback to guide iterative model training. Contributed to annotation guidelines and quality assurance efforts to ensure consistency and reliability in training data.

2024

AI trainer

Scale AITextText Generation

Contributed to the training of a large language model by generating high-quality, domain-specific prompts and evaluating AI-generated responses in the field of biology. Designed tasks covering topics such as molecular biology, genetics, physiology, and bioinformatics to assess the model’s reasoning, accuracy, and ability to explain complex biological concepts. In addition to prompt creation and response evaluation, performed quality assurance reviews on other trainers’ work to ensure consistency with project guidelines, factual accuracy, and pedagogical clarity. Provided structured feedback to maintain high annotation standards and improve overall training data quality.

Contributed to the training of a large language model by generating high-quality, domain-specific prompts and evaluating AI-generated responses in the field of biology. Designed tasks covering topics such as molecular biology, genetics, physiology, and bioinformatics to assess the model’s reasoning, accuracy, and ability to explain complex biological concepts. In addition to prompt creation and response evaluation, performed quality assurance reviews on other trainers’ work to ensure consistency with project guidelines, factual accuracy, and pedagogical clarity. Provided structured feedback to maintain high annotation standards and improve overall training data quality.

2023 - 2024

Education

Work History