Data Labeling

Overview

We are looking for detail-oriented individuals to support AI training projects through data labeling and annotation tasks. In this role, you will review and label data, identify relevant details, and provide accurate descriptions based on project guidelines.

This is a great opportunity for individuals who have strong attention to detail, good written English skills, and an interest in contributing to the development of AI technologies.

Project Details:

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Project name: Cursa

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Title: Robot Manipulation Video Annotator

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Work type: freelance, remote in the Philippines

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Pay rate: US$3.5/hour

What You'll Do

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Review and annotate various types of data, including videos, images, and text, according to project requirements.

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Identify and label relevant objects, actions, events, or other details within the provided data.

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Write clear, accurate, and structured descriptions based on your observations.

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Ensure all annotations are accurate, complete, and consistent with project guidelines.

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Identify and report unclear, inconsistent, or unusual cases when necessary.

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Follow detailed instructions and quality standards to maintain high-quality results.

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Participate in feedback and quality review sessions to improve annotation accuracy and consistency.

What We're Looking For

Required:

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Strong written English skills with the ability to provide clear and accurate descriptions.

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Excellent attention to detail and observational skills.

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Ability to follow detailed instructions and apply guidelines consistently.

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Good analytical skills and the ability to identify small differences or inconsistencies.

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Strong organizational and time management skills, with the ability to work independently.

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Basic computer proficiency and comfort working with online tools.

Nice to Have:

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Previous experience in data labeling, data annotation, content evaluation, transcription, or quality assurance.

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Familiarity with AI training or machine learning data projects.

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Experience using annotation platforms or tools such as Label Studio.

Originally posted on Himalayas