AI Data Reviewer | $40/hr Remote

Crossing Hurdles

United States

On-site

USD 34,000 - 55,000

Full time

8 days ago
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Job summary

Crossing Hurdles is seeking an AI Data Reviewer to rigorously review screenshots across diverse software interfaces, identify UI elements, and verify AI model responses against visible evidence. You will distinguish between observable facts and assumptions while documenting clear explanations.

As a remote contract role, you will handle structured annotation and data review tasks across dashboards, forms, admin panels, and CRM tools, collaborating to deliver high-quality feedback for model

Qualifications

  • Have expertise in screenshot analysis and UI interpretation across multiple software environments.
  • Demonstrate exceptional attention to detail with accuracy and consistency in data review tasks.
  • Possess outstanding written communication skills and the ability to articulate observations concisely.
  • Have high computer literacy and familiarity with various digital tools, platforms, and workflows.

Responsibilities

  • 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 grounded in visible evidence.
  • Distinguish between observable evidence and assumptions, documenting clear explanations for assessments.
  • Complete structured annotation and data review tasks across dashboards, forms, admin panels, CRM tools, and web apps.
  • Collaborate with the customer team to provide actionable feedback that informs AI model improvements.
  • Maintain rigorous attention to detail, adhering to guidelines and quality standards in all deliverables.

Skills

Screenshot analysis
UI interpretation
Attention to detail
Written communication
Data review

Tools

CRM tools
Web applications
Dashboards

Job description

  • 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

Role Responsibilities
  • 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.
Requirements
  • 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.
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