CRM Operations Specialist
Job Description
Role Title: CRM Operations Specialist
Role Type: Contractor
Location: Remote
micro1 is engaging CRM Operations Specialists to support a customer's project focused on optimizing sales and customer relationship management processes. 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 is an opportunity to leverage your CRM operations skills and deep knowledge of platforms like Salesforce and HubSpot, directly impacting the way leading organizations manage and grow customer relationships.
Scope of Work
Evaluate and provide input on CRM workflows, sales processes, and automation logic using Salesforce, HubSpot, and other leading platforms.
Document current sales operations practices, identifying pain points and opportunities for process improvement.
Contribute real-world examples, scenarios, and feedback reflecting best practices in CRM operations and sales enablement.
Review, analyze, and annotate CRM data, records, and user interactions to support AI training objectives.
Assess and validate AI system outputs for accuracy and alignment with actual sales operations.
Collaborate on content generation and review for documentation, training materials, and process guides related to CRM tools.
Preferred Qualifications
3+ years of hands-on experience in CRM and sales operations, with demonstrated expertise in Salesforce and HubSpot.
Proficiency with additional platforms such as Close, Apollo, Salesloft, Intercom, Freshdesk, Shopify, Crayon, or Funnel is highly valued.
Track record of optimizing sales processes, implementing automations, and managing CRM data integrity.
Strong analytical and process-mapping abilities, with a detail-oriented approach to complex business workflows.
Effective written and verbal communication skills to deliver clear documentation and actionable feedback.
Experience providing feedback or training in process improvement or software implementation contexts is a plus.
No formal degree required; practical expertise and platform fluency are the primary criteria.
About Micro1
Micro1 is building the essential infrastructure for the next generation of artificial intelligence, moving beyond the limitations of static datasets to create a dynamic ecosystem where models truly learn to think and act. At its core, the company understands that the path to frontier intelligence isn't paved with synthetic data alone; it requires the nuance, judgment, and contextual awareness that only expert human guidance can provide. By positioning itself at the intersection of human expertise and advanced reinforcement learning, Micro1 is tackling the hardest problem in AI today: teaching models not just to answer questions, but to reason through complexity and take meaningful actions in unpredictable, real-world environments.
This mission comes to life through Realm, Micro1's flagship training environment. Realm functions as a high-fidelity simulation ground where AI agents are immersed in scenarios that closely mirror the messiness of actual human workflows. Rather than relying on abstract benchmarks, Realm forces models to engage in agentic actions, multi-step decisions, digital navigation, coding, and problem-solving that require genuine comprehension. It is within these realistic sandboxes that world-class human data is generated, creating a continuous feedback loop where expert annotators observe, correct, and guide model behavior. This process does more than just fine-tune outputs; it fundamentally elevates a model's underlying reasoning architecture, ensuring that the intelligence developed in training holds up when deployed into the wild.
But training is only half the equation. Micro1 recognizes that the true test of an AI system lies in its production performance, which is where Cortex enters the picture. Cortex is a contextual evaluation platform designed to move beyond superficial accuracy metrics and provide a granular, real-time view of how agents behave in live settings. It doesn't just flag errors; it surfaces the underlying context behind failures, revealing why an agent struggled with a particular user intent or environmental variable. This insight is invaluable for engineering teams, as it transforms evaluation from a passive checkpoint into an active improvement tool. With Cortex, companies can catch degradation early, understand the nuances of edge cases, and feed those learnings directly back into Realm for retraining, creating a virtuous cycle of continuous advancement.
Ultimately, Micro1 is not merely a data lab or an evaluation tool it is a comprehensive intelligence engine that connects the entire lifecycle of model development. From the expert human feedback that sharpens raw capability, to the realistic RL environments that forge robust agentic behavior, to the contextual oversight that ensures reliability in production, Micro1 provides the integrated foundation that AI labs and enterprises desperately need. As the industry races toward truly autonomous systems, Micro1 stands as the critical bridge between laboratory breakthroughs and dependable, real-world impact, ensuring that frontier models do not just perform well on paper, but deliver genuine value in the complex, dynamic world they are meant to serve.