Sales / Revenue / CS Operations Expert
Quick facts
- Type
- Part-time
- Location
- Remote
- Experience
- 4+ years
- Platform
- Micro1 — 260 open jobs
- Typical pay at Micro1
- $25–150/hour · median $90 (17 jobs on our site)
- Apply
- Free to apply — never pay to get AI training work
pay
Required Skills
Operations
CRM Ownership
Revenue Tools Beyond the CRM
Operational Judgment and Policy Conflicts
Data Accuracy and Reporting
About micro1
micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform.
Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI.
Role Title: Sales / Revenue / CS Operations Expert
Role Type: Contractor
Location: Remote
micro1 is selecting Sales / Revenue / CS Operations Experts to participate in a customer project focused on elevating operational efficiency and data integrity within SaaS revenue and customer management environments. 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. This opportunity is ideal for professionals with hands-on experience in configuring and maintaining CRM platforms and adjacent revenue tools. You'll play an integral part in designing scalable workflows, ensuring data accuracy, and resolving operational complexities encountered by high-growth teams.
Scope of Work
Configure and optimize CRM systems (such as Salesforce, HubSpot, or similar) to align with evolving sales, revenue, and customer success processes.
Integrate and manage revenue-related platforms beyond the CRM, including quoting, billing, ticketing, and project tracking tools.
Establish and document operational workflows that adapt to changing business requirements and promote system adoption among sales and CS stakeholders.
Monitor and maintain data accuracy across interconnected systems, proactively identifying and resolving discrepancies.
Assess and resolve conflicts between operational policies, exercising sound judgment to support practical and sustainable processes.
Produce clear, actionable documentation and reports to ensure transparency and usability for diverse team members.
Provide feedback on system usability and adoption, contributing real-world insights to refine operational best practices.
Preferred Qualifications
4+ years of hands-on experience in sales, revenue, or customer success operations within a SaaS environment.
Proven track record of personal responsibility for configuring and maintaining CRM systems; direct platform experience is required.
Familiarity with at least two connected tools outside the CRM (e.g., quoting, billing, ticketing, or project tracking solutions).
Strong operational judgment, particularly in navigating and resolving policy conflicts without overcomplicating processes.
Excellent written and verbal communication skills, with an emphasis on clear, actionable documentation and stakeholder engagement.
Demonstrated ability to drive adoption of new workflows and systems among sales and customer success professionals.
Experience producing detailed reports and ensuring data integrity across multiple revenue systems is highly valued.
Email
By clicking any of the "Continue" buttons below, you acknowledge and agree to our Terms and Privacy Policy for candidates.
Continue
or
Continue with Google
Continue with LinkedIn
Have any questions? See FAQs
Refer and Earn
$500
About Micro1
micro1 recruits engineers and domain experts for AI labs using its AI interviewer. Once vetted, contractors work on human-data projects such as writing and checking model outputs or building coding evaluations.