Operations Associate, Snorkel AI
Payments
The target hourly rate is $30-$40
The AI data research lab
Be an early applicant
The AI data research lab
501-1000 employees
Be an early applicant
The target hourly rate is $30-$40
501-1000 employees
Company mission
To empower everyone to solve their most impactful problems through data-centric AI.
Role
Who you are
- 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
Desirable
- 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
What the job involves
- 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
Our take
Demand for AI is increasing in almost every industry, but the machine learning that fuels it is tedious to set up. In order to train machine learning algorithms, training data must be labelled manually, and this contributes to expenses in time, money and resources when integrating AI within a business.
Snorkel AI develops programmatic approaches to data labelling in order to automate the setup process of machine learning and decrease the required timeframe for a business to begin providing AI services. In addition to these automated data categorization services, the company also integrates data training, management, and analysis into a unified AI-deployment platform.
The complex computer science behind AI setup has resulted in many businesses without computer science backgrounds being left behind, and Snorkel AI has set this as their target audience. And recently, the company raised some serious funding which it plans to use to expand the company's engineering, research, and go-to-market efforts.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-13% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
May 2025
$100m
SERIES D
Aug 2021
$85m
SERIES C
Total funding: $235m
Company 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.
Company HQ
Centennial, Redwood City, CA
Leadership
Alex Ratner
(Co-Founder & CEO)Studied at Harvard and received a PhD from Stanford. They are also an Assistant Professor at the University of Washington.
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