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Operations Associate (Payments)

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Onsite

Operations Associate (Payments)

Snorkel AI

Operations Associate (Payments)

Skills

SQL QueriesLookerTableauAINo-code AutomationsZapierAirtableCustomer SupportCompliance

19 days ago

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Important information


Contract type:

Permanent

Location:

United States

Work mode:

Onsite

Published on:

8 October 2026

What they need


  • Snorkel AI is seeking a detail-oriented Payments Operations Associate to support the compensation lifecycle for a broad and growing network of Expert Contributors who power our LLM data development efforts
  • You’ll be the front line for expert support - investigating and resolving contributor payment issues and discrepancies with clarity, professionalism, and technical rigor
  • You’ll sit at the intersection of data operations, finance, product, and program teams, working within complex pay structures that include quality-based incentives
  • This is a great opportunity for a detail-driven, technically capable operator with a customer-support mindset to join a fast-moving team at the forefront of AI data development
  • Own the day-to-day queue of payment support tickets, serving as the primary point of contact for expert-facing communications on pay issues, discrepancies, and disputes
  • Investigate ticket issues by auditing contributor data and complex payment systems with dynamic bonus structures; flagging errors or inconsistencies
  • Resolve contributor’s pay disputes with clear, professional communication, escalating complex or sensitive issues as needed
  • Build and maintain SQL queries, scripts, automations and payment audit dashboards to speed up ticket investigation and reduce manual, repetitive work
  • Collaborate with Delivery, Operations, Finance and Engineering to troubleshoot discrepancies and streamline payment workflows for both internal and external stakeholders
  • Help maintain payment compliance and data traceability for operations, audit and accounting purposes

Benefits

  • Health: Snorkelers and their dependents are covered by comprehensive medical, dental, and vision plans.
  • Wellness: All Snorkelers get a yearly wellness stipend to use on anything related to health and well-being.
  • PTO and rest days: We provide unlimited personal time off so you can find your work-life balance. Plus, two company-wide rest days per quarter in addition to company holidays.
  • One global team: From our headquarters in Redwood City, CA, to regional offices in San Francisco and New York, we work together as one global team.
  • Events: Get to know your fellow Snorkelers outside of work! We host regular events and learning opportunities for our teams across our offices and virtually to connect, have fun, and grow.
  • Family leave: Snorkel offers generous parental leave for both birthing and non-birthing parents based on eligibility.- Clear written and verbal communication skills, with comfort working cross-functionally across technical and non-technical teams
  • 2-3 years of experience in a customer support, payments, payroll, or finance operations role, ideally with some exposure to variable/incentive-based compensation in a marketplace environment
  • Experience with workflow automation tools such as Airtable or Zapier etc and reporting/dashboard tools such as Looker, Tableau, or Omni
  • Demonstrated customer support experience by owning end-user or customer-facing communications, including sensitive or disputed payment conversations
  • Exposure to 1099 gig contractor compliance or payment strategy design (incentive programs, quality scoring, performance-based rewards), familiarity with compensation cycles, payment schedules, or contractor/contributor invoicing
  • Bachelor’s degree in Finance, Accounting, Business, Engineering, or a related field, or equivalent relevant work experience
  • Technically proficient in SQL (querying, extracting, validating data), Google Sheets (advanced formulas, complex spreadsheets), scripting/automation (e.g., Google Apps Script or similar), and building reports or visualizations,
  • Strong organizational and time-management skills; ability to manage a high volume ticket queue independently and prioritize concurrent requests with high attention to detail
  • Understanding of Generative AI data workflows, such as data annotation/labeling, LLM prompt design, fine-tuning, and evaluation
  • Experience working in or adjacent to data operations, expert networks, or human-in-the-loop systems

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