
Native Spanish AI Data Annotator – AI Scam Detection
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Europe.
• Review SMS and email messages within spreadsheets and categorize each message according to predefined annotation guidelines.
• Accurately and consistently apply labels while upholding high quality standards.
• Process around 2,500 messages daily, achieving both productivity and quality objectives.
• Recognize ambiguous or edge-case examples and escalate them as needed.
• Engage in regular team calibration sessions and peer reviews, dedicating approximately 10% of working hours to this activity.
• Adhere to project documentation, workflows, and data handling protocols.
• Proactively communicate with the project team regarding inquiries, issues, or clarifications on guidelines.
• Native-level proficiency in Spanish (both spoken and written).
• Exceptional command of the English language.
• Ability to work within EMEA or USA time zones.
• Strong reading comprehension and familiarity with colloquial language, slang, abbreviations, and regional expressions.
• Keen attention to detail with the capability to make precise, consistent decisions based on comprehensive guidelines.
• Comfortable handling large amounts of repetitive data while maintaining a high degree of accuracy.
• Ability to meet deadlines and fulfill daily productivity goals.
• Willingness to review content that may involve scam attempts, offensive language, profanity, or other sensitive subjects.
• Experience with spreadsheet applications.
• Previous experience in data annotation, content moderation, data labeling, quality assurance, or linguistic projects is advantageous.
• Experience in AI or machine learning data annotation projects is preferred.
• Strong analytical and problem-solving capabilities.
• Ability to recognize patterns and identify inconsistencies in data.
• Excellent communication skills with a readiness to collaborate within an international remote team.
• Capability to work independently while adhering to detailed instructions.
• Reliable internet connection and access to a computer suitable for remote work.
• Fully remote freelance engagement.
• Opportunity to contribute to the development of advanced AI systems aimed at scam and fraud detection.
• Collaborate with an experienced international project team.
• Clear annotation guidelines and continuous support.
• Flexible remote working environment.
• Acquire valuable experience in AI data annotation, content classification, and machine learning projects.
Mindy Support
CC.Talent (formerly CodingChiefs)
CodingChiefs: Dedicated Remote Developers
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