
1001 - 5000 employees
đ€ Artificial Intelligence
đ€ B2B
âïž SaaS
Artificial Intelligence âą B2B âą SaaS
Welo Global is a multilingual content, data, and AI solutions company that provides enterprise-focused localization, regulated translation, and AI training data through a family of brands (including Welocalize, Park IP, Welo Life Sciences, Welo Data, and Adapt). It combines domain expertise, proprietary AI tools (e. g. , the Opal suite), governed global workforces, and compliance certifications to support use cases across global marketing, intellectual property and legal translations, life sciences regulatory and clinical documentation, and AI model development. The company emphasizes scalable, AI-enabled platforms and workflows to deliver high-quality multilingual content and structured datasets in 300+ languages for corporate clients.
đ„ 1 hour ago
đČđœ Mexico â Remote
â° Full Time
đĄ Mid-level
đ Senior
âš Safety Specialist
đ» Ghost score 10%
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1001 - 5000 employees
đ€ Artificial Intelligence
đ€ B2B
âïž SaaS
Artificial Intelligence âą B2B âą SaaS
Welo Global is a multilingual content, data, and AI solutions company that provides enterprise-focused localization, regulated translation, and AI training data through a family of brands (including Welocalize, Park IP, Welo Life Sciences, Welo Data, and Adapt). It combines domain expertise, proprietary AI tools (e. g. , the Opal suite), governed global workforces, and compliance certifications to support use cases across global marketing, intellectual property and legal translations, life sciences regulatory and clinical documentation, and AI model development. The company emphasizes scalable, AI-enabled platforms and workflows to deliver high-quality multilingual content and structured datasets in 300+ languages for corporate clients.
âą Run fraud investigations end-to-end by triaging flagged accounts, reviewing identity, behavioral, and platform activity evidence, reaching dispositions, and processing removals âą Verify identity and location signals for flagged or high-risk accounts âą Conduct manual audits and reviews, prioritizing cases by risk and signal strength âą Detect multi-accounting and account integrity abuse using linked-account, device, location, and behavioral patterns âą Apply hypothesis-driven investigation methods and produce replicable, auditable dispositions âą Escalate emerging fraud vectors, false-positive/false-negative patterns, and rule gaps to the fraud strategy team âą Handle sensitive data using GDPR-aligned data handling and deletion practices âą Collaborate with Research Labs, Quality Strategy Architecture, and Forward Deployment Engineering on tooling and process improvements
âą 5+ years in a T&S, fraud/risk, or identity-verification investigations role âą Direct experience with identity/fraud signals, including device fingerprinting, IP/geolocation checks, document verification, or behavioral fraud scoring âą Experience recognizing multi-accounting and account integrity abuse patterns âą Strong case documentation discipline and evidence-backed case notes âą Ability to prioritize investigation queues by risk and signal strength âą Working knowledge of GDPR or equivalent data privacy obligations for case handling and data retention/deletion âą Experience specifically in AI/ML data annotation, RLHF, or research operations workforce platforms is nice to have âą Exposure to rule-based fraud detection engines is nice to have âą Familiarity with clustering/anomaly-detection approaches to fraud is nice to have âą Case management system experience is nice to have âą Bachelor's degree in Criminology, Law, Criminal Justice, Cybersecurity, Information Security, Data/Computer Science, or a related field is recommended âą Equivalent practical experience in T&S, fraud investigations, or identity verification will be considered in place of a degree âą Relevant certifications such as CFE, CAMS, or IDV/identity risk vendor certifications are a plus
âą Remote work arrangement âą Opportunity to work with a global, distributed workforce âą Work on multilingual GenAI data and evaluation systems âą Professional collaboration with Research Labs, Quality Strategy Architecture (QSA), and Forward Deployment Engineering
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