Data Review Associate (Remote)

Crewlia; United States; Remote; USD 25,000 - 41,000; Part time

Job summary

Crewlia is seeking a Data Review Associate for a remote hourly contract based in the United States or Canada. You will examine AI-generated content for quality, instruction alignment, and completeness, recording clear observations for each review.

The role emphasizes careful following of data-review guidelines, strong written and spoken English, and the ability to work independently with your own computer and reliable internet.

Qualifications

• Bachelor’s degree, completed or in progress.
• At least one year of review or evaluation experience.
• Clear spoken and written English.
• You can follow data-review guidelines carefully and communicate clear quality observations.
• Your own Windows or Mac laptop/desktop and reliable internet.
• Interest in design, photography, video, editorial work, research, QA or technical writing is welcome.

Responsibilities

• Review AI-generated content for quality and instruction alignment.
• Record observations for each content review.
• Ensure completeness of data and reporting.

Skills

English clarity

Attention to detail

Education

Bachelor's degree

Job description

Location: Remote — United States & Canada Only

Engagement Type: Hourly Contract

Applicants must currently reside in and be authorized to work in the United States or Canada.

Overview

We are looking for a Data Review Associate to examine AI-generated content and data for quality, instruction alignment, and completeness, recording clear observations for each assigned review. This remote contract opportunity offers flexible hours and clear project guidelines.

Key Responsibilities

• Examine generated content and data for quality concerns.
• Check assigned outputs for instruction alignment and completeness.
• Record clear observations for each completed content review.

Requirements

• Bachelor’s degree, completed or currently in progress.
• At least one year of relevant review or evaluation experience.
• Clear spoken and written English.
• You can follow data-review guidelines carefully and communicate clear quality observations.
• Your own Windows or Mac laptop/desktop and reliable internet.
• Interest in design, photography, video, editorial work, research, QA or technical writing is welcome.

We welcome qualified applicants from all backgrounds.