Data Annotator — Remote

Description

Your Pool Pal LLC is seeking a detail-oriented Entry-Level Data Annotator to join our Information Technology team. This is a Full Time & Part-time remote opportunity ideal for individuals looking to begin a career in technology artificial intelligence and machine learning while enjoying the flexibility of working from home.

As a Data Annotator you will review label organize and categorize data used to support machine-learning and AI projects. Your work will contribute to the development of accurate high-quality datasets that help improve our technology and digital solutions.

No previous professional data annotation experience is required. We are looking for candidates who are dependable attentive to detail comfortable using a computer and willing to learn.

This position offers competitive compensation remote flexibility training and the opportunity to gain practical experience in a growing technology field.

Responsibilities

• Review and annotate data according to established project guidelines.
• Label and categorize text images and other types of digital data.
• Maintain accuracy and consistency across annotation tasks.
• Identify and report incomplete incorrect or inconsistent data.
• Complete assigned tasks within project deadlines.
• Maintain accurate records of completed work and progress.
• Participate in training and project guideline updates.
• Assist with quality checks of annotated datasets.
• Provide feedback on annotation tools and workflow where appropriate.
• Follow company data privacy confidentiality and security requirements.

Requirements

• High school diploma or equivalent.
• No previous professional experience required entry-level applicants are encouraged to apply.
• Strong attention to detail and accuracy.
• Basic computer and internet skills.
• Ability to understand and follow written instructions.
• Good written communication skills in English.
• Ability to work independently in a remote environment.
• Strong organization and time-management skills.
• Reliable internet connection and an appropriate home workspace.
• Willingness to learn new systems tools and project guidelines.