Trust & Safety Specialist III

LE025 Welocalize Mexico Sociedad Anonima De Capital Variable (SADCV); México; On-site; MXN 420,000 - 700,000; Full time

Job summary

Welocalize, Inc. is seeking a Trust & Safety Specialist based in Mexico to join the investigations team and handle active fraud cases, supporting the broader fraud strategy program.

You’ll come with real T&S, fraud/risk, or identity‑verification experience and run investigations end‑to‑end, verify identity signals, and prioritize cases by risk. Collaborate across teams to close cases with auditable dispositions.

Qualifications

• 5+ years in a T&S, fraud/risk, or identity‑verification investigations role — from a platform/marketplace T&S team, a fintech/payments risk team, an identity‑verification vendor, or a crowdsourced/gig‑workforce trust function
• Direct experience with identity/fraud signals — device fingerprinting, IP/geolocation checks, document verification, or behavioral fraud scoring
• Multi‑accounting / account integrity pattern recognition — you’ve dealt with linked‑account abuse, farming, or account sharing before, not just single‑account review
• Case documentation discipline — you write clean, evidence‑backed case notes that would survive an audit or an appeal
• Comfort with ambiguity and volume — you can prioritize a queue by risk, not just clear it by count
• Working knowledge of data privacy obligations (GDPR or equivalent) as they apply to case handling and data retention/deletion

Responsibilities

• Run investigations end-to-end: triage flagged accounts, review evidence (identity signals, behavioral flags, platform activity data), reach a disposition, and process removals in line with policy and SLA
• Own IDV review: verify identity and location signals for flagged or high-risk accounts, distinguishing genuine edge cases from fraud
• Conduct manual audits and reviews: prioritizing cases by risk and signal strength rather than intake order
• Detect multi-accounting and account integrity abuse: recognize patterns across linked accounts, device/location overlap, and behavioral signals
• Apply a hypothesis-driven investigation method: form a hypothesis, test it against the evidence, and reach a disposition that can be replicated and audited
• Contribute to detection improvement: elevate emerging fraud vectors, false‑positive/false‑negative patterns, and rule gaps to the fraud strategy team
• Handle sensitive data responsibly: apply GDPR‑aligned data handling and deletion practices in every case
• Collaborate cross-functionally: partner with Research Labs, Quality Strategy Architecture (QSA), and Forward Deployment Engineering on tooling gaps and process fixes surfaced by your casework

Skills

T&S investigations experience

Identity verification

Fraud pattern recognition

Case documentation

Ambiguity management

GDPR data handling

Education

Bachelor’s degree in Criminology/related field

Tools

Case management systems

Job description

Job Responsibilities

Welo Data's Trust & Safety function protects the integrity of a global, distributed workforce that powers AI data and annotation work. We run a multi-layered fraud detection stack combining identity verification checks, in-house behavioral signals, and platform activity data, and are actively building out a Trust & Safety Committee spanning four core workstreams: identity verification, location verification, account integrity, and multi-accounting detection.

This is a hands-on investigative role, not a policy-only seat — you'll be working live cases from day one.

About the Role

We're looking for a Trust & Safety Specialist, based in Mexico, to join our investigations team, working active fraud cases and supporting the broader fraud strategy program. You'll come in with real T&S, fraud/risk, or identity-verification experience from another platform, marketplace, gaming company, fintech, IDV vendor, or crowdsourced-workforce environment, and be ready to run investigations, process removals, and spot fraud patterns from week one.

Run investigations end-to-end: triage flagged accounts, review evidence (identity signals, behavioral flags, platform activity data), reach a disposition, and process removals in line with policy and SLA

Own IDV review: verify identity and location signals for flagged or high-risk accounts, distinguishing genuine edge cases from fraud

Conduct manual audits and reviews: prioritizing cases by risk and signal strength rather than intake order

Detect multi-accounting and account integrity abuse: recognize patterns across linked accounts, device/location overlap, and behavioral signals

Apply a hypothesis-driven investigation method: form a hypothesis, test it against the evidence, and reach a disposition that can be replicated and audited

Contribute to detection improvement: elevate emerging fraud vectors, false‑positive/false‑negative patterns, and rule gaps to the fraud strategy team

Handle sensitive data responsibly: apply GDPR‑aligned data handling and deletion practices in every case

Collaborate cross-functionally: partner with Research Labs, Quality Strategy Architecture (QSA), and Forward Deployment Engineering on tooling gaps and process fixes surfaced by your casework

What You Bring (Must‑Haves)

• 5+ years in a T&S, fraud/risk, or identity‑verification investigations role — from a platform/marketplace T&S team, a fintech/payments risk team, an identity‑verification vendor, or a crowdsourced/gig‑workforce trust function
• Direct experience with identity/fraud signals — device fingerprinting, IP/geolocation checks, document verification, or behavioral fraud scoring
• Multi‑accounting / account integrity pattern recognition — you've dealt with linked‑account abuse, farming, or account sharing before, not just single‑account review
• Case documentation discipline — you write clean, evidence‑backed case notes that would survive an audit or an appeal
• Comfort with ambiguity and volume — you can prioritize a queue by risk, not just clear it by count
• Working knowledge of data privacy obligations (GDPR or equivalent) as they apply to case handling and data retention/deletion

Recommended Education

• Bachelor's degree in Criminology, Law, Criminal Justice, Cybersecurity, Information Security, Data/Computer Science, or a related field
• Equivalent practical experience in T&S, fraud investigations, or identity verification will be considered in place of a degree

Nice to Have Experience

• Experience specifically in AI/ML data annotation, RLHF, or research operations workforce platforms
• Exposure to rule‑based fraud detection engines and an opinion on rule sprawl vs. signal quality
• Familiarity with clustering/anomaly‑detection approaches to fraud (even at a conceptual level)
• Case management system experience (any ticketing or knowledge‑base tooling)

Welocalize

Welocalize is a leading technology‑enabled provider of translation, localization, and AI‑driven content solutions, helping businesses communicate, innovate, and grow globally. Specializing in complex and regulated industries, Welocalize delivers precise, scalable multilingual content through a powerful combination of advanced AI technologies and expert human talent. At the core is Welocalize’s AI‑enabled OPAL platform, which transforms translation workflows by integrating machine translation (MT) and large language models (LLMs) to provide fast, accurate, and culturally relevant content in over 300 languages. With a commitment to excellence, Welocalize holds 7 ISO certifications. Welocalize is headquartered in New York with offices all over the globe.