Data Support Specialist (Remote)

Crewlia; United States; Remote; USD 28,000 - 48,000; Part time

Job summary

Crewlia is seeking a Data Support Specialist for evaluating AI-generated content and data for accuracy, consistency, and alignment with detailed guidelines. This remote hourly contract offers flexible hours and clear project milestones.

You will review outputs against the criteria, write concise explanations, and collaborate with the team to improve data quality. A Bachelor's degree and one year of review experience are preferred, with strong English and reliable internet.

Qualifications

• Bachelor's degree, completed or currently in progress.
• At least one year of relevant review or evaluation experience.
• Clear spoken and written English.
• Own Windows or Mac laptop/desktop and reliable internet.
• Interest in design, photography, video, editorial work, research, QA or technical writing welcome.

Responsibilities

• Review AI-generated data and content against supplied quality criteria.
• Identify missing, inconsistent, or inaccurate output details carefully.
• Write concise explanations supporting each review decision.

Skills

Attention to detail

Analytical thinking

English proficiency

Data-review guidelines

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 Support Specialist to evaluate AI-generated content and data for accuracy, consistency, completeness, and alignment with detailed review guidelines. This remote contract opportunity offers flexible hours and clear project guidelines.

Key Responsibilities

• Review AI-generated data and content against supplied quality criteria.
• Identify missing, inconsistent, or inaccurate output details carefully.
• Write concise explanations supporting each review decision.

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 have strong analytical attention to detail and can apply data-review guidelines consistently.
• 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.