


Global

Contract-based

Date Posted

Offered salary
$25 - $40 per hour

Closing date
Closing soon
Qualification
Not specified
Hiring location
Global
Experience
Annotation preferred
Responsibilities
• Review and analyse screenshots of diverse software interfaces, identifying UI elements and interpreting user workflows
• Evaluate and annotate AI model responses based strictly on what is visible on the screen
• Distinguish between observable evidence and assumptions and document clear explanations for assessments
• Complete structured annotation and data review tasks across dashboards, forms, admin panels, CRM tools and web applications
• Collaborate with the customer’s team to provide high-quality, actionable feedback
• Maintain rigorous attention to detail while adhering to guidelines and quality standards
• Communicate insights and findings effectively in writing and verbally
Requirements
• Expertise in screenshot analysis and UI interpretation across multiple software environments
• Exceptional attention to detail with commitment to accuracy and consistency
• Outstanding written communication skills
• High computer literacy and comfort navigating digital tools and workflows
• Demonstrated ability to distinguish between evidence-based findings and assumptions
• Experience completing structured annotation or review processes in a technical, product or operational setting
• Ability to prioritize, manage time effectively and meet deadlines in a remote environment
How to Apply
Click apply to be taken to the micro1 website. Candidates with backgrounds in QA testing, technical support, product operations, UX research, data annotation or technical writing are preferred.
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Micro 1
AI Data Reviewer
Overview
micro1 is recruiting AI Data Reviewers to help train next-generation AI systems through high-quality, real-world input. You will review screenshots of software interfaces, evaluate AI model responses and provide evidence-based assessments that improve model performance. No prior AI experience is required. Work is remote with collaboration and knowledge-sharing across teams.



