AI Data Reviewer | Remote

• Review and analyze screenshots of diverse software interfaces, identifying UI elements and interpreting user workflows with precision.
• Evaluate and annotate AI model responses, ensuring judgments are strictly grounded in what is visible on the screen.
• Distinguish between observable evidence and assumptions, documenting clear, well-reasoned explanations for assessments.
• Complete structured annotation and data review tasks across dashboards, forms, admin panels, CRM tools, and various web applications.
• Collaborate with the customer s team to provide high-quality, actionable feedback that directly impacts AI model improvements.
• Maintain rigorous attention to detail, adhering to established guidelines and quality standards in all deliverables.

Position: AI Data Reviewer

Type: Contract

Compensation: $25 - $40/hour

Location: Remote

Commitment: 10-40 hrs/week

• Review and analyze screenshots of diverse software interfaces, identifying UI elements and interpreting user workflows with precision.
• Evaluate and annotate AI model responses, ensuring judgments are strictly grounded in what is visible on the screen.
• Distinguish between observable evidence and assumptions, documenting clear, well-reasoned explanations for assessments.
• Complete structured annotation and data review tasks across dashboards, forms, admin panels, CRM tools, and various web applications.
• Collaborate with the customer s team to provide high-quality, actionable feedback that directly impacts AI model improvements.
• Maintain rigorous attention to detail, adhering to established guidelines and quality standards in all deliverables.

• Have expertise in screenshot analysis and UI interpretation across multiple software environments.
• Demonstrate exceptional attention to detail, with a commitment to accuracy and consistency in data review tasks.
• Possess outstanding written communication skills and a strong ability to articulate complex observations concisely.
• Have high computer literacy and comfort navigating a variety of digital tools, platforms, and workflows.
• Demonstrate the ability to distinguish between evidence-based findings and assumptions.