Evans Grado

Key Skills

Software

Appen

Clickworker

CloudFactory

CrowdSource

CVAT

HiveMind

Remotasks

Toloka

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Video

Top Label Types

Action Recognition

Bounding Box

Classification

Object Detection

Polygon

Freelancer Overview

Data labeling is crucial for training AI models, as it involves annotating raw data with meaningful labels or tags. This labeled data is then used to teach machine learning algorithms how to recognize patterns, make predictions, or perform tasks. In terms of AI training data, I understand the importance of accurate, consistent, and high-quality annotations to improve model performance. Labeling can involve various tasks such as image classification, object detection, sentiment analysis, and named entity recognition, depending on the type of model being trained. Data labeling can be done manually by human annotators or through semi-automated processes that rely on existing AI models to assist with the task.

Labeling Experience

Reviewer

Scale AIImageBounding Box

Check for any mistakes and correct where necessary for tasks that had been worked on by annotators.

Check for any mistakes and correct where necessary for tasks that had been worked on by annotators.

2021 - 2023

Annotator

Scale AITextBounding Box

Highlighting texts that were in relation to the topic given.

Highlighting texts that were in relation to the topic given.

2019 - 2021

Annotator

Scale AIImagePolygon

Using a bounding box to identifying vehicle types, i.e sedans, trucks, vans etc.

Using a bounding box to identifying vehicle types, i.e sedans, trucks, vans etc.

2019 - 2020

Education

Work History