AI Data Reviewer | $40/hr Remote

Crossing Hurdles; Brasil; Presencial; BRL 175 445 - 280 713; Tempo parcial

Resumo da oferta

Crossing Hurdles is seeking an AI Data Reviewer to analyze screenshots from diverse software interfaces, annotate AI model outputs, and ensure judgments reflect what is visible on screen. The role emphasizes precision, documentation, and high-quality feedback across dashboards and admin panels.

This remote, contract position requires strong written communication, detail orientation, and proficiency with various digital tools. Commitment ranges from 10 to 40 hours per week.

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

Screenshot analysis

UI interpretation

Attention to detail

Written communication

Computer literacy

Descrição da oferta de emprego

• 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.