7 дней назад
Trust & Safety Specialist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Trust & Safety Specialist (AI): Investigating flagged accounts, identity and location verification cases, multi-accounting, and account integrity abuse for a distributed AI data workforce with an accent on evidence-based decisions, risk prioritization, and GDPR-aligned data handling. Focus on testing fraud hypotheses, identifying emerging abuse patterns, processing removals, and improving detection rules and tooling.
Location: Mexico; remote
Company
Welo Data is a multilingual data and evaluation partner helping foundation labs and enterprises deploy reliable generative AI systems across languages, cultures, and real-world contexts.
What you will do
- Investigate flagged accounts end to end by triaging cases, reviewing identity, behavioral, and platform activity signals, reaching dispositions, and processing removals according to policy and SLA.
- Verify identity and location signals for flagged or high-risk accounts and distinguish genuine edge cases from fraud.
- Detect multi-accounting and account integrity abuse through linked-account, device, location, and behavioral patterns.
- Prioritize manual audits by risk and signal strength while documenting evidence-backed, replicable case decisions.
- Escalate emerging fraud vectors, false-positive and false-negative patterns, and rule gaps to the fraud strategy team.
- Collaborate with Research Labs, Quality Strategy Architecture, and Forward Deployment Engineering on tooling and process improvements.
Requirements
- 5+ years of experience in trust and safety, fraud or risk investigations, or identity verification.
- Direct experience with device fingerprinting, IP and geolocation checks, document verification, or behavioral fraud scoring.
- Experience identifying multi-accounting, linked-account abuse, farming, or account sharing.
- Strong case documentation skills and the ability to prioritize high-volume queues by risk.
- Working knowledge of GDPR or equivalent data privacy obligations for case handling and retention or deletion.
- Bachelor's degree in criminology, law, criminal justice, cybersecurity, information security, data or computer science, or a related field; equivalent practical experience may substitute.
Nice to have
- Experience with AI/ML data annotation, RLHF, or research operations workforce platforms.
- Exposure to rule-based fraud detection engines and clustering or anomaly-detection approaches.
- Experience with case management, ticketing, or knowledge-base tools.
- CFE, CAMS, or IDV and identity risk vendor certifications.
Culture & Benefits
- Work remotely from Mexico as part of a global, distributed workforce.
- Hands-on investigations begin from the first day rather than policy-only work.
- Work across identity verification, location verification, account integrity, and multi-accounting detection.
- Handle sensitive data using GDPR-aligned practices.
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