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Microsoft Dynamics 365 Admin - Remote

YO AI Labs

Eindhoven
Contractor
5-10 years experience
Remote Only

$50 - $80 per hour

Key Skills

Salesforce
HubSpot
Microsoft Dynamics 365
CRM Administration
CRM Implementation
Data Reconciliation
SQL
APIs
Data Models
Workflow Automation
System Integration
Revenue Systems
SaaS Operations
CRM Governance

Job Description

Salesforce / HubSpot Administrator – Revenue Systems (SaaS) Role Type: Contractor Location: Remote We are seeking experienced Salesforce / HubSpot Administrators – Revenue Systems (SaaS) to support a customer project focused on operational excellence across CRM and revenue systems. You'll use your CRM expertise to evaluate real-world SaaS operations, resolve data and process inconsistencies, and help improve how AI systems understand complex business workflows. No prior AI experience is required. Scope of Work Audit CRM and integrated revenue systems for inconsistencies, outdated policies, duplicate records, and automation issues. Analyze policy conflicts and determine appropriate business rules. Review and reconcile data across CRM and connected platforms. Create clear operational prompts and documentation for complex SaaS scenarios. Document recommended system changes and operational decisions. Assess the impact of CRM changes on billing, CPQ, ticketing, and other integrated tools. Provide insights on CRM optimization, system design, and sustainable governance. Preferred Qualifications 4–6 years of hands-on experience with Salesforce, HubSpot, Microsoft Dynamics 365, or similar CRM platforms. Experience leading CRM implementations, migrations, consolidations, or rollouts. Strong knowledge of fields, objects, flows, validation rules, automation, and permissions. Experience with at least two revenue or operational systems such as billing, CPQ, ticketing, or integration platforms. Working knowledge of SQL, APIs, data models, and cross-system data reconciliation. Experience working in SaaS environments. Excellent written and verbal English communication skills.

Core Responsibilities

Audit CRM and connected revenue systems for data, policy, and automation issues; reconcile records and determine appropriate business rules. Document operational decisions and recommended changes, assess impacts across integrated tools, and advise on CRM optimization and governance.

Requirements

Requires 4–6 years of hands-on experience with Salesforce, HubSpot, Microsoft Dynamics 365, or a similar CRM, with experience in implementations, migrations, consolidations, or rollouts. Candidates should understand CRM configuration and automation, have experience with at least two revenue or operational systems, and possess working knowledge of SQL, APIs, data models, and cross-system reconciliation.

About YO AI Labs

Industry: Artificial Intelligence

Company size: 201-500 employees

YO AI Labs is an AI data solutions company specializing in high-quality data annotation, data labeling, AI training, and human-in-the-loop services that power the next generation of artificial intelligence. We partner with AI companies, enterprises, and research organizations to build reliable datasets for Large Language Models (LLMs), Generative AI, Computer Vision, Natural Language Processing (NLP), Speech AI, and Reinforcement Learning from Human Feedback (RLHF). Our global network of skilled domain experts, linguists, engineers, and data specialists delivers accurate, scalable, and secure AI training data across multiple industries and languages. Our services include: • AI Data Annotation & Labeling • LLM Training & Evaluation • RLHF & Human Feedback • Prompt Engineering & Response Evaluation • Image, Video & Audio Annotation • NLP & Text Classification • Data Collection & Data Curation • AI Safety & Trust Evaluation • Multilingual AI Data Services • Domain Expert Review for Specialized AI Models At YO AI Labs, we are committed to helping organizations accelerate AI innovation by delivering high-quality datasets, expert human intelligence, and scalable AI operations. Our mission is to bridge the gap between human expertise and artificial intelligence, enabling businesses to build smarter, safer, and more accurate AI systems. **Building Better AI Through Better Data.**

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