
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„ 0 minutes ago
đźđł India 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 end-to-end investigations by triaging flagged accounts, reviewing identity signals, behavioral flags, and platform activity data, reaching dispositions, and processing removals according to policy and SLA âą Own identity-verification reviews for flagged or high-risk accounts, including verification of identity and location signals 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 gaps and process improvements
âą 4+ 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/account integrity patterns, linked-account abuse, farming, or account sharing âą Strong case documentation discipline with clean, 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 Bachelor's degree in Criminology, Law, Criminal Justice, Cybersecurity, Information Security, Data/Computer Science, or a related field, or equivalent practical experience in T&S, fraud investigations, or identity verification âą Relevant certifications are a plus: CFE, CAMS, or IDV/identity risk vendor certifications âą Nice-to-have: experience in AI/ML data annotation, RLHF, or research operations workforce platforms âą Nice-to-have: exposure to rule-based fraud detection engines âą Nice-to-have: familiarity with clustering/anomaly-detection approaches to fraud âą Nice-to-have: case management system experience âą Must be based in India
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