About this role
Snorkel AI requires a dedicated professional to resolve growing contributor payment discrepancies and streamline complex compensation structures for a network of Expert Contributors. This position sits at the intersection of data operations, finance, product, and delivery teams, focusing on the day-to-day management of payment support tickets and dispute resolution.
Candidates will build and maintain SQL queries, automation scripts, and audit dashboards to reduce manual work and ensure compliance across dynamic, quality-based incentive systems. Individuals who thrive in this environment possess a strong customer support mindset combined with technical proficiency in data auditing and financial operations.
What you will do
- Manage the daily queue of payment support tickets and serve as the main point of contact for expert-facing inquiries regarding pay disputes.
- Investigate payment issues by auditing contributor data within complex compensation frameworks that feature dynamic bonus structures.
- Resolve pay disputes through clear and professional communication while escalating sensitive cases as necessary.
- Develop and maintain SQL queries, scripts, automations, and audit dashboards to accelerate ticket resolution.
- Partner with delivery, operations, finance, and engineering groups to troubleshoot discrepancies and refine payment workflows.
- Support payment compliance and data traceability standards for internal accounting and auditing requirements.
What you need
- Bring two to three years of professional experience in customer support, payments, payroll, or finance operations.
- Possess familiarity with variable or incentive-based compensation models, marketplace environments, and 1099 contractor compliance.
- Demonstrate prior experience managing end-user communications involving sensitive or disputed payment conversations.
- Show technical proficiency in SQL for querying and validating data, advanced Google Sheets formulas, and basic scripting or automation.
- Utilize workflow automation tools such as Airtable or Zapier alongside reporting platforms like Looker, Tableau, or Omni.
- Hold a bachelor's degree in Finance, Accounting, Business, Engineering, or a related field, or possess equivalent relevant work experience.
Nice to have
- Understanding of Generative AI data workflows, including data annotation, prompt design, fine-tuning, and evaluation.
- Experience working in or adjacent to data operations, expert networks, or human-in-the-loop systems.
Benefits
- Medical coverage
- Dental coverage
- Vision coverage
- 401(k)
Skills and tech stack
Questions candidates ask
Where is this job located?
This position is fully remote within the United States. Actual compensation is determined by factors including geographic location.
What is the pay rate for this role?
The target hourly rate ranges from $30 to $40 USD depending on work location, skills, qualifications, and experience.
What tools and technologies will I use?
You will utilize SQL for data extraction, Google Sheets for advanced spreadsheets, automation tools like Zapier or Airtable, and reporting dashboards such as Looker or Tableau.
What kind of experience is preferred?
Candidates with an understanding of Generative AI data workflows, data annotation, or experience in human-in-the-loop systems are preferred.