Senior Fraud Data Labeling Specialist
Listed on 2026-03-01
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IT/Tech
Data Analyst, Data Scientist -
Quality Assurance - QA/QC
Data Analyst
About Persona
Persona is the configurable identity platform built for businesses in a digital-first world. Verifying individuals and organizations is harder — but more important — than ever, with AI enabling fraudsters to launch sophisticated accounts at scale and regulations evolving rapidly.
We’ve built Persona to support practically every use case and industry — that’s why we’re able to serve a wide range of leading companies. For example, Reddit relies on Persona for age assurance and verification to comply with online safety regulations, protecting younger users while maintaining a seamless experience. Meanwhile, OpenAI relies on Persona to keep bad actors out, protecting one of the world’s most powerful AI platforms from large-scale abuse in a time when AI is reshaping the way we work and live.
We’re growing rapidly and looking for exceptional people to join us!
About the RoleSenior Fraud Data Labeling Specialists are experienced contributors who not only perform complex data labeling tasks but also take expanded ownership over quality, process improvement, and cross-functional collaboration.
In this role, you will label high-impact datasets from customers, deliver consistently high-quality annotations, and help elevate labeling standards across the team. You will serve as a subject matter expert (SME) for fraud detection workflows, support audits and quality assurance efforts, and partner closely with Engineering, Product, and Operations to refine processes and improve model performance.
This role is ideal for someone who is highly detail-oriented, thrives in ambiguous and fast-evolving environments, and demonstrates strong ownership and leadership without direct authority.
What You’ll Do at Persona- Perform advanced image and photo quality assessments.
- Conduct , verification, and visual field extraction across complex and edge-case scenarios.
- Evaluate fraud signals based on evolving detection guidelines and nuanced instructions.
- Label machine-learning datasets with a high degree of accuracy and consistency.
- Own end-to-end quality for assigned workflows, ensuring adherence to SLAs and quality benchmarks.
- Conduct post-process audits, identify trends in labeling errors, and produce actionable error reports.
- Mentor and support labelers through guidance, feedback, and best practice sharing.
- Identify process gaps and proactively recommend improvements to labeling instructions, tooling, and workflows.
- Partner cross-functionally with Engineering, Product, and Operations to provide feedback that improves model performance and operational efficiency.
- Contribute to documentation, training materials, and evolving fraud detection playbooks.
- Proven experience in fraud data labeling, identity verification, or a related domain.
- Demonstrated ability to handle complex edge cases and ambiguous scenarios with sound judgment.
- Exceptional attention to detail and ability to follow and improve complex instructions.
- Strong written and verbal communication skills in English.
- Experience conducting audits or quality assurance reviews.
- Ability to work independently while driving alignment across teams.
- Strong sense of ownership, urgency, and accountability.
- Comfort operating in a fast-paced environment with changing priorities.
- A proactive mindset with a focus on continuous improvement.
For full-time employees (excluding internship and contractor opportunities), Persona offers a wide range of benefits, including medical, dental, and vision, 3% 401(k) contribution, unlimited PTO, quarterly mental health days, family planning benefits, professional development stipend, wellness benefits, among others. While we believe competitive compensation and benefits are a critical aspect of you deciding to join us, we do hope you consider why our core values and culture are right for you.
If you’d like to better understand what it’s like working at Persona, feel free to check out our reviews on Glassdoor.
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