Nicole Silva

Key Skills

Software

Appen

Clickworker

SuperAnnotate

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Document

Image

Top Task Types

Classification

Data Collection

Prompt Response Writing SFT

Question Answering

Translation Localization

Freelancer Overview

Data labeling specialist with strong experience in AI training projects, including computer vision, satellite image classification, autonomous vehicle object detection, and Spanish-language LLM evaluation. Skilled in creating accurate, high-quality annotations using platforms like Label Studio, CVAT, and Amazon SageMaker Ground Truth. My work focuses on consistency, precision, and efficient data pipeline support. I also have experience in AI response generation and multilingual transcription, which enables me to contribute to NLP and semantic annotation tasks with linguistic accuracy. My attention to detail, ability to follow strict guidelines, and familiarity with high-volume and deadline-driven tasks set me apart in both language and vision-based AI training workflows.

Labeling Experience

General Data Annotation

AppenTextQuestion AnsweringText Generation

I participated in a comprehensive data labeling project for AI training, involving various data types such as images, text, and audio. Tasks included annotating images with bounding boxes, segmentation, and classification, as well as text labeling for named entity recognition (NER) and sentiment annotation in textual data. The project involved analyzing and validating thousands of samples, with a strong focus on ensuring high data quality through cross-review and strict adherence to provided guidelines. I used tools such as CVAT and Label Studio to perform the annotations.

I participated in a comprehensive data labeling project for AI training, involving various data types such as images, text, and audio. Tasks included annotating images with bounding boxes, segmentation, and classification, as well as text labeling for named entity recognition (NER) and sentiment annotation in textual data. The project involved analyzing and validating thousands of samples, with a strong focus on ensuring high data quality through cross-review and strict adherence to provided guidelines. I used tools such as CVAT and Label Studio to perform the annotations.

2022 - 2024

Education

Work History