SaaS Revenue Operations AI Training Specialist

You will provide operational judgment for AI training tasks involving CRM systems, revenue processes, and complex SaaS environments. Your work will help create realistic training examples by analyzing data models, resolving policy conflicts, and explaining how operational decisions affect reporting, scalability, and cross-functional work.

• Assess and refine CRM data models for sales, customer success, and revenue operations.
• Identify conflicting operational policies, choose defensible resolutions, and document the tradeoffs.
• Design and validate SaaS revenue workflows that account for compliance requirements in specific industries.
• Find revenue data integrity gaps and support accurate reporting and analytics.
• Create detailed process walkthroughs based on hands-on system configuration experience.
• Provide written and verbal insights for scenario-based operational training tasks.
• Recommend improvements that strengthen scalability, compliance, and cross-functional alignment.

What it pays and takes

This contractor opportunity pays $50 to $100 per hour. It is listed as part-time work, and candidates must be fluent in English.

• Pay: $50 to $100 per hour.
• Work type: Contractor and part-time.
• Open to candidates in: AE, AR, AT, BD, BE, BH, BR, CA, CH, CL, CO, DE, DK, DZ, EG, ES, FR, GB, GH, GR, ID, IN, IT, JO, JP, KE, KG, KW, KZ, LB, LK, MA, MX, MY, NG, NL, OM, PE, PH, PK, PS, PT, QA, SA, SG, TH, TN, TW, US, UZ, VN, ZA.
• Language: Professional fluency in English.
• Experience: At least four years of direct, hands-on experience in SaaS revenue, sales, customer success, or implementation operations.
• CRM experience: Ownership and configuration experience with Salesforce, HubSpot, or a comparable CRM.
• Systems experience: Hands-on administration of at least two adjacent tools, such as billing, CPQ, ticketing, project tracking, or data integration platforms.
• Judgment: Ability to resolve policy conflicts and explain operational tradeoffs in complex, compliance-sensitive environments.
• Process design: Experience designing processes for regulated industries or multi-product SaaS implementations, with attention to reporting accuracy.
• Communication: Clear written and verbal communication with technical and non-technical stakeholders.
• Decision-making: Sound judgment about what to change, what to preserve, and how to explain each decision.
• Helpful experience: Work in fintech, healthtech, insurtech, or another regulated industry.
• Helpful tools: Stripe, Zuora, Chargebee, Zendesk, Intercom, Asana, Jira, Gainsight, Zapier, Workato, dbt, or reverse ETL systems.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training is the human work behind systems that learn from examples, including writing and rating model responses, evaluating information, and reviewing specialized content. People with strong professional experience help make these examples accurate, realistic, and useful for training AI systems.