Job Overview
Location
Remote Work( USA)
Job Type
Full-time
Category
Data & Analytics
Date Posted
May 17, 2026
Full Job Description
đź“‹ Description
- • Create and assign accurate data labels for various email fraud scenarios using a proprietary data labeling platform
- • Review and validate labeled email data to ensure consistency, precision, and alignment with defined fraud classification criteria
- • Analyze the quality and performance metrics of labeled datasets to identify patterns, anomalies, or labeling inconsistencies
- • Provide actionable feedback to the data science team on improvements to labeling guidelines, workflow efficiency, and model training inputs
- • Collaborate with senior graders and data science stakeholders to support ongoing projects aimed at training AI models for email fraud detection
- • Participate in structured training sessions to learn best practices in data labeling, AI model development, and email fraud typologies
- • Contribute to iterative improvements in labeling workflows by documenting challenges, suggesting process enhancements, and proposing standardization methods
- • Work within a remote, part-time schedule for a 3-month duration, maintaining consistent communication and task completion deadlines
- • Gain hands-on experience working with real-world datasets used to train generative AI and RAG pipelines for enterprise clients
- • Engage with a team of over 150 PhDs and data scientists to observe how labeled data directly impacts the accuracy and scalability of AI models
- • Understand the end-to-end pipeline of how curated, multilingual email data supports the deployment of industry-specific LLMs and vector-based retrieval systems
- • Apply attention to detail in identifying subtle indicators of phishing, spoofing, business email compromise, and other email-based fraud tactics
- • Adhere to strict data handling and privacy protocols while working with sensitive email content as part of the labeling process
- • Receive mentorship from experienced senior graders and managers to develop foundational skills in data annotation, AI training, and quality assurance
- • Learn how Centific’s zero-distance innovation™ approach reduces GenAI deployment costs and accelerates time-to-market for enterprise clients
🎯 Requirements
- • Availability for a 3-month, part-time remote internship during the summer
- • Strong attention to detail and ability to consistently follow complex labeling guidelines
- • Basic understanding of email communication structures and common fraud indicators (e.g., phishing, spoofing)
- • Comfort working with digital platforms and tools for data annotation and task management
- • Ability to work independently and meet deadlines in a remote setting
- • Willingness to learn and apply foundational concepts in AI, data labeling, and machine learning
🏖️ Benefits
- • $20/hour pay rate for part-time remote work
- • Hands-on mentorship from senior data scientists and graders with industry expertise
- • Direct exposure to cutting-edge AI data labeling projects used by enterprise clients and the Magnificent Seven
- • Opportunity to contribute to real-world AI models that prevent email fraud at scale
Skills & Technologies
About Centific Global Technologies Pte. Ltd.
Centific is a data-centric AI services company providing data collection, annotation, and model validation solutions to enterprises and technology vendors. It operates a global crowd platform that combines human intelligence with automation to prepare, curate, and test datasets for computer vision, NLP, and generative AI applications. The company supports full AI lifecycle needs, from training data to reinforcement learning and model safety, serving industries including retail, automotive, healthcare, and technology. Headquartered in Singapore, Centific maintains delivery centers across Asia, Europe, and North America.
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