Daniel Llaven

Key Skills

Software

Appen

Remotasks

Scale AI

SuperAnnotate

Toloka

Other

Labelbox

Data Annotation Tech

Top Subject Matter

LLM evaluation in Spanish

LLM writter in Spanish

LMM evaluation in English

Top Data Types

Document

Text

Video

Top Task Types

Evaluation Rating

Prompt Response Writing SFT

Question Answering

Text Generation

Translation Localization

Freelancer Overview

I have extensive experience in data labeling and AI training, specializing as a trainer and evaluator for models in Spanish. My role involves precise annotation of large datasets using specialized tools and platforms for tasks such as image classification, object detection, and natural language processing. I bring key skills in developing custom annotation protocols and implementing quality control measures to ensure data accuracy and consistency. In previous projects, I have managed complex labeling workflows and collaborated closely with data scientists to enhance model performance. This experience has given me a deep understanding of the nuances involved in training AI systems, distinguishing me as a skilled and reliable professional in the field.

Labeling Experience

Evaluator

LabelboxImageSegmentationClassification

tagging images and videos, evaluating and classifying them in high quality.

tagging images and videos, evaluating and classifying them in high quality.

2024 - 2024

Data Labeling Video

Scale AIVideoPolygon

The video data labeling project aims to improve machine learning model accuracy by tagging objects, categorizing scenes, and labeling actions in videos based on clear guidelines. Performance metrics focus on accuracy, consistency, and efficiency, with a quality assurance process that includes regular reviews and feedback to ensure reliable labeled data.

The video data labeling project aims to improve machine learning model accuracy by tagging objects, categorizing scenes, and labeling actions in videos based on clear guidelines. Performance metrics focus on accuracy, consistency, and efficiency, with a quality assurance process that includes regular reviews and feedback to ensure reliable labeled data.

2023 - 2024

Writter

Scale AIDocumentPrompt Response Writing SFT

Work on various writing in Spanish LatAm projects to train generative AI models. Rank a series of responses that were produced by an AI model. Based on a given topic, write a short story about that topic. Assess whether a piece of text produced by an AI model is factually accurate or not.

Work on various writing in Spanish LatAm projects to train generative AI models. Rank a series of responses that were produced by an AI model. Based on a given topic, write a short story about that topic. Assess whether a piece of text produced by an AI model is factually accurate or not.

2022 - 2024

Data Labeling

Data Annotation TechTextText GenerationText Summarization

The project aims to enhance AI performance through data annotation, focusing on tasks like emotion recognition, object detection, and classification. It involves using advanced labeling tools and techniques to fine-tune models, with applications in fields like healthcare, geocoding, and mapping. The goal is to create scalable, high-quality AI solutions.

The project aims to enhance AI performance through data annotation, focusing on tasks like emotion recognition, object detection, and classification. It involves using advanced labeling tools and techniques to fine-tune models, with applications in fields like healthcare, geocoding, and mapping. The goal is to create scalable, high-quality AI solutions.

2020 - 2024

Education

Work History