- Location
- United States (Remote)
- Workplace
- Remote
- Level
- Entry level
- Posted
- 6 days ago
About this role
About Snorkel
Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes.
Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
About the Role
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.
Main Responsibilities
- 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.
Minimum Qualifications
- 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.
- 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
- Demonstrated customer support experience by owning end-user or customer-facing communications, including sensitive or disputed payment conversations.
- 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,
- Experience with workflow automation tools such as Airtable or Zapier etc and reporting/dashboard tools such as Looker, Tableau, or Omni.
- Strong organizational and time-management skills; ability to manage a high volume ticket queue independently and prioritize concurrent requests with high attention to detail
- Clear written and verbal communication skills, with comfort working cross-functionally across technical and non-technical teams.
- Bachelor's degree in Finance, Accounting, Business, Engineering, or a related field, or equivalent relevant work experience.
Preferred Qualifications
- 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.
Pay Transparency Notice: Depending on your work location, the target hourly rate is $35-$40 for this position can range as detailed below. Snorkel also includes benefits (including medical, dental, vision and 401(k)).
Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.
Salary range(s) for this role$30-$40 USD
Be Your Best at Snorkel
Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly - offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.
Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
As published by Snorkel AI. Applications are handled on their site.
Skills this posting mentions
About Snorkel AI
Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine platform technology with research-driven data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Snorkel led the development of Senior SWE-Bench and launched Open Benchmarks Grants with a $3 million commitment to support open-source datasets, benchmarks, and evaluation research. Supported projects include Agents’ Last Exam, OSWorld 2.0, Terminal-Bench, Continual Learning Bench, and SlopCode Bench. Learn more at snorkel.ai or follow @SnorkelAI.
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01Drop your resume
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02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
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