AI training contract
Salesforce / HubSpot Administrator - Revenue Systems (SaaS)
Business Operations · USD 35-80 an hour. · 30 openings
Salesforce / HubSpot Administrator - Revenue Systems (SaaS) is contract work for micro1, reviewing and correcting what AI models produce in business operations. The output of the job is expert judgement written down: a model gives an answer, someone who knows the subject decides whether it is right and explains why.
What it requires. No credential is stated on this listing beyond experience in the field.
What it pays. USD 35 to USD 80 an hour, as published by micro1. Rates in this category track how rare the credential is rather than how hard the work is.
Where. The listing says this role is remote and names no country. micro1 says it hires talent from around the world, except people who reside in Afghanistan, Belarus, China, Cuba, Democratic Republic of the Congo, Hong Kong, Iran, Iraq, Libya, Macao, Myanmar, North Korea, Russian Federation, Somalia, South Sudan, Sudan, Syria, Venezuela, Ukraine, and Yemen. So this page lists every other country as eligible, on the strength of that rule and not of anything this listing says. Requirements can still differ by role, so check the application page on micro1 before you apply.
micro1 lists 30 openings on this role.
Skills named: Operations, CRM Ownership, Revenue Tools Beyond the CRM, Operational Judgment and Policy Conflicts, Data Accuracy and Reporting.
Applications are made on micro1, not here. WFA Digital is independent of micro1 and may receive a referral fee if you are hired, at no cost to you.
Full listing, as published by micro1
Role Title: Salesforce / HubSpot Administrator - Revenue Systems (SaaS) Role Type: Contractor Location: Remote micro1 is engaging Salesforce / HubSpot Administrator - Revenue Systems (SaaS) experts to contribute to a dynamic customer project focused on operational excellence in CRM and revenue systems. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. You'll work inside a SaaS company's revenue stack where the operational logic has drifted out of alignment: rules that contradict each other, automations still firing against policy that was retired two years ago, the same customer sitting under two different legal names, permissions that don't match what the documentation says, and grey areas. Scope of Work Audit CRM and integrated revenue systems for contradictions, obsolete policies, duplicate records, and operational inconsistencies. Analyze and resolve policy conflicts, deciding which business rules should take precedence and documenting clear, actionable reasoning. Draft precise operational prompts outlining best practices for handling complex, real-world SaaS data scenarios. Assess and reconcile underlying data to clarify the intended state across platforms and ensure consistency. Document recommended changes as well as areas deliberately left unchanged, supported by sound operational judgment. Evaluate and articulate the impact of proposed changes on connected tools such as billing, CPQ, ticketing, or integration platforms. Contribute insights on system design, optimization, and sustainable CRM governance in a SaaS context. Preferred Qualifications 4–6 years of hands-on CRM administration or implementation with Salesforce, HubSpot, Microsoft Dynamics 365, or comparable platforms. Proven track record of real-world CRM build-outs, including implementations, migrations, consolidations, or rollouts led independently. Extensive experience configuring fields, flows, validation rules, objects, and permission sets; certifications are appreciated but practical build experience is prioritized. Working knowledge of at least two related revenue or operational systems (e.g., billing, subscription management, CPQ, ticketing, project tracking, integration middleware). Comfort working in the data layer: SQL, APIs, system data models, and cross-system data reconciliation. Background in SaaS environments, with a preference for regulated industries or multi-product complexity. Excellent professional English communication skills, both written and verbal, especially in documenting technical reasoning and operational policy decisions.
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Rate, openings and requirements checked 2026-09-25 against micro1's own public postings.