
Native Spanish AI Data Annotator β AI Scam Detection
Posted Aug 31

Posted Aug 31
This is a fully remote position, open to applicants in United States.
β’ Review SMS and email messages in spreadsheets and categorize each message as per established annotation guidelines.
β’ Apply labels reliably and consistently while upholding high quality standards.
β’ Process around 2,500 messages daily, achieving both productivity and quality objectives.
β’ Identify ambiguous or edge-case instances and escalate them when necessary.
β’ Engage in regular team calibration sessions and peer reviews, dedicating approximately 10% of working time, to ensure consistent annotation throughout the project.
β’ Adhere to project documentation, workflows, and data handling procedures at all times.
β’ Communicate proactively with the project team regarding inquiries, concerns, or clarifications about guidelines.
β’ Native-level proficiency in Spanish (both spoken and written).
β’ Excellent command of the English language.
β’ Ability to work within EMEA or USA time zones.
β’ Outstanding reading comprehension and understanding of colloquial language, slang, abbreviations, and regional expressions.
β’ Strong attention to detail with the capability to make accurate and consistent decisions based on detailed guidelines.
β’ Comfort in handling large volumes of repetitive data while maintaining a high level of accuracy.
β’ Ability to manage deadlines and meet daily productivity targets.
β’ Comfort in reviewing content that may contain scam attempts, offensive language, profanity, or other sensitive material.
β’ Experience using spreadsheet applications.
β’ Previous experience in data annotation, content moderation, data labeling, quality assurance, or linguistic projects is advantageous.
β’ Experience working with AI or machine learning data annotation projects is preferred.
β’ Strong analytical and problem-solving abilities.
β’ Capability to recognize patterns and identify inconsistencies in data.
β’ Excellent communication skills and a willingness to collaborate in an international remote team.
β’ Ability to work independently while adhering to detailed instructions.
β’ Reliable internet connection and access to a computer suitable for remote work.
β’ Fully remote freelance engagement.
β’ Opportunity to contribute to the development of advanced AI systems focused on scam and fraud detection.
β’ Collaborate with an experienced international project team.
β’ Clear annotation guidelines and ongoing support.
β’ Flexible remote working environment.
β’ Gain valuable experience in AI data annotation, content classification, and machine learning projects.
Label Your Data β Data Annotation & Labeling
Label Your Data β Data Annotation & Labeling
Label Your Data β Data Annotation & Labeling
Carle Health
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