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Remote Leasing Jobs in California (NOW HIRING)

LHH US

Property Manager III

Sacramento, CA · On-site +1

$35 - $38/hr

Remote (Must reside within 100 miles of Sacramento, CA) Schedule: Monday-Friday, 8:00 AM - 5:00 PM Employment Type: Contract Position Overview We are seeking an experienced Lease Administrator III to ...

LHH US

Property Manager III

Sacramento, CA · On-site +1

$35 - $38/hr

Remote (Must reside within 100 miles of Sacramento, CA) Schedule: Monday-Friday, 8:00 AM - 5:00 PM Employment Type: Contract Position Overview We are seeking an experienced Lease Administrator III to ...

Pacific Rim Capital

Accounts Receivable Specialist

Irvine, CA · On-site +1

$29.50 - $34.50/hr

Maintains all leases related to assigned client accounts (i.e. leased assets, recording and linking ... remote arrangements. That said, we deeply value work-life balance and the well-being of our team ...

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All JobsLeasing JobsRemote Leasing JobsRemote Leasing Jobs in California

Remote Leasing information

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$11

$18

$25

How much do remote leasing jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for remote leasing in California is $18.27, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $18.99 per hour, depending on experience, location, and employer.

How does a Remote Leasing Agent effectively build rapport with prospective tenants without in-person meetings?

Remote Leasing Agents primarily rely on digital communication tools such as video calls, virtual tours, and prompt email or chat responses to establish trust and rapport with potential renters. Building a personal connection remotely involves being responsive, knowledgeable about the property, and proactive in addressing questions or concerns. Additionally, successful agents often personalize their interactions by remembering tenant preferences and following up consistently, which helps create a positive experience despite the lack of face-to-face contact.

What is remote leasing?

Remote leasing is the process of managing and facilitating property lease agreements without in-person interactions. Leasing agents or property managers use digital tools such as online listings, virtual tours, electronic document signing, and remote communication to help prospective tenants view properties, apply, and sign leases. This approach increases convenience and accessibility for both landlords and renters, especially when they are in different locations. Remote leasing has become increasingly popular due to advancements in technology and the need for flexible rental solutions.

What is the difference between Remote Leasing vs Remote Property Management?

AspectRemote LeasingRemote Property Management
Primary FocusFinding and securing tenants for rental propertiesOverseeing property operations and tenant relations
Required SkillsMarketing, communication, leasing lawsMaintenance coordination, tenant management, financials
Work EnvironmentReal estate offices, online platformsOnline management systems, remote communication
CertificationsReal estate license often preferredProperty management certification beneficial

Remote Leasing primarily involves marketing and securing tenants, while Remote Property Management focuses on ongoing property oversight and tenant relations. Both roles often require real estate knowledge and utilize online tools, but they serve different stages of the rental process.

Will AI replace leasing agents?

AI technology is increasingly used in leasing to automate tasks like screening applicants and managing inquiries, but leasing agents play a vital role in providing personalized customer service, negotiating lease terms, and handling complex situations. While AI can enhance efficiency, it is unlikely to fully replace leasing agents in the near future due to the need for human interaction and judgment in real estate transactions.

How can I make $100,000 a year working from home?

Remote leasing roles, such as leasing agents or property managers, can reach six-figure incomes through commissions, bonuses, and experience. Success often depends on strong sales skills, industry knowledge, and building a client base, with some professionals working full-time or managing multiple properties remotely.

How to make $1000 a week remotely?

Remote leasing professionals can earn $1000 or more weekly by managing multiple property leases, negotiating favorable terms, and utilizing strong communication and organizational skills. Success often depends on experience, the volume of leases handled, and the commission or fee structure involved in the leasing process.

How can I make 2000 a week working from home?

Remote leasing roles often involve managing property or equipment leases, and earning $2000 weekly typically requires high-volume sales, strong negotiation skills, and experience in real estate or leasing platforms. Success may also depend on commission structures, client networks, and the ability to handle multiple clients efficiently.

What are the key skills and qualifications needed to thrive as a Remote Leasing Agent, and why are they important?

To thrive as a Remote Leasing Agent, you need strong sales abilities, property management knowledge, and familiarity with real estate regulations, often supported by leasing or real estate certifications. Proficiency with property management software, CRM systems, and virtual tour platforms is typically required. Excellent communication, self-motivation, and problem-solving skills help you build rapport with clients and manage tasks independently. These skills ensure efficient leasing processes, high occupancy rates, and positive client experiences in a remote environment.
What are the most commonly searched types of Leasing jobs in California? The most popular types of Leasing jobs in California are:
What are popular job titles related to Remote Leasing jobs in California? For Remote Leasing jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Leasing jobs in California look for? The top searched job categories for Remote Leasing jobs in California are:
What cities in California are hiring for Remote Leasing jobs? Cities in California with the most Remote Leasing job openings:
Remote Leasing jobs near you
Infographic showing various Remote Leasing job openings in California as of July 2026, with employment types broken down into 83% Full Time, 12% Part Time, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $38,010 per year, or $18.3 per hour.
Staff Machine Learning Engineer - Leasing

Staff Machine Learning Engineer - Leasing

AppFolio, Inc.

Santa Barbara, CA • On-site, Remote

Full-time

Posted 19 days ago

AppFolio rating

7.2

Company rating: 7.2 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

155th of 209 rated software companies

Job description

Description
Hi, We're AppFolio
We're innovators, changemakers, and collaborators. We're more than just a software company - we're building the AI-native platform where the real estate industry comes to do business. We're transforming property management: how properties are leased, how residents find their homes, and how intelligence flows across an entire portfolio.
Realm-X is AppFolio's AI-native platform powering this transformation. Within it, Realm-X Leasing Performer is an autonomous AI agent that handles the end-to-end leasing lifecycle - lead management, tour scheduling, follow-up, application processing, etc. - on behalf of property managers and leasing teams. It's one of AppFolio's most ambitious bets on autonomous AI, and it needs ML engineering worthy of that ambition.
Who We Are Looking For
We're hiring a Staff Machine Learning Engineer to own the ML strategy and execution that makes the Realm-X Leasing Performer production-grade, observable, and continuously improving. You'll sit at the intersection of applied ML, agent systems, and leasing domain expertise - working directly with Leasing Engineering, Voice & Agents, and Research ML to translate prototypes into systems our customers can depend on every day.
This isn't a platform-only role. You'll be close enough to the product to shape how the Leasing Performer reasons, acts, and learns - and close enough to infrastructure to make sure it's reliable, cost-efficient, and safe at scale.
Your Impact
  • Own the ML Strategy for Leasing: Define and drive the machine learning roadmap across Leasing products - identifying where ML creates the most leverage, making the right model and architecture bets, and working closely with Product and Engineering leadership to align the team around a coherent technical vision that reflects real customer outcomes.
  • Drive the Development & Architecture for Autonomous AI Agents: Be the ML lead for AppFolio's autonomous leasing agent - shaping how it communicates with prospective tenants and helps streamline leasing operations. You'll own the model quality, evaluation framework, and continuous improvement loop that makes the Performer better over time.
  • Translate Research into Product: Partner with Voice & Agents and Research ML to evaluate new capabilities - fine-tuning approaches, retrieval strategies, agentic patterns - and make the call on what's ready to ship and what needs more hardening before it reaches customers.
  • Drive Model Quality and Evaluation: Build the evaluation and experimentation infrastructure that lets the Leasing team ship ML changes with confidence - defining what "better" looks like for leasing-specific tasks and owning the metrics that reflect real customer outcomes.
  • Set the ML Bar for Leasing Engineering: Establish the patterns, standards, and practices that the broader Leasing Engineering team follows when integrating ML - from prompt engineering and RAG to fine-tuning and model selection. Be the person the team comes to when the ML question is hard.
  • Operate with Production Discipline: Ensure that ML systems powering the Leasing Performer meet the reliability bar that production SaaS demands - SLOs, observability, cost discipline, and a clear on-call posture. You don't have to build all of it, but you own the outcomes.
Qualifications
  • Systems thinker: You think in terms of platforms and long-term leverage, not just features. You understand how ML infrastructure decisions compound over time.
  • Production builder: You've built and scaled ML infrastructure in production with meaningful business impact - and you treat it like any other production system.
  • Domain curiosity: You take time to understand the business workflows your systems serve - in this case, leasing - and use that understanding to make better technical bets.
  • Ambiguity: You operate effectively in high ambiguity, turning unclear infra problems into clear direction.
  • Owner-operator: You take ownership with a founder mindset, act with urgency, and focus on outcomes.
  • Collaboration: You are humble, collaborative, and low-ego - you elevate those around you and work fluidly across ML, product, and engineering.
  • Reliability mindset: You treat ML infra like any other production system: SLOs, on-call, observability, postmortems.
  • Sustainability: You value work-life balance as a foundation for sustained high performance.
Must Have
  • ML Development at scale: Has built and supported production ML systems at scale.
  • Architectural Leadership: You have experience leading architectural discussions, defining system design, and guiding technical decision-making.
  • Inference & Training: Has trained or fine-tuned language models end-to-end; comfortable with deep learning, evaluation, and inference.
  • Training capability: Has trained or fine-tuned language models end-to-end; comfortable with deep learning, evaluation, and inference.
  • RAG & agents: Hands-on experience with LangChain / LangGraph and modern RAG patterns over structured and unstructured data.
  • AI safety & authorization: Hands-on experience operating AI guardrails, scoped tool permissions, and authorization layers for production AI systems - especially in agentic contexts.
Nice to Have
  • Experience building ML systems for conversational AI, leasing, or CRM-adjacent workflows.
  • GPU performance tuning (vLLM, TensorRT, Triton, or similar).
  • Experience with ontology-driven systems or knowledge graphs supporting AI applications.
  • Familiarity with real estate, property management, or leasing workflows.
  • Contributions to open-source ML infrastructure or LLM tooling.

#LI-KB1
About AppFolio
AppFolio is the technology leader powering the future of the real estate industry. Our innovative platform and trusted partnership enable our customers to connect communities, increase operational efficiency, and grow their business. For more information about AppFolio, visit appfolio.com.
Why AppFolio
Grow We enable a culture of high performance, where delivering results is recognized by opportunities for growth and compelling total rewards. Our challenging and meaningful work drive the growth of our business, and ourselves.
Learn We partner with you to realize your potential by investing in you from the start. We're cultivating a team of big thinkers through coaching and mentorship with our best-in-class leaders, and giving you the time and tools to develop your skills.
Impact We are creating a world where living in, investing in, managing, and supporting communities feels magical and effortless, freeing people to thrive. We do this by innovating with purpose while cultivating a culture of impact. We learn as much from each other as we do our customers and our communities.
Connect We excel at hybrid work by fostering an environment that feels flexible, personal and connected, no matter where we are. We create space to fuel innovation and collaboration, and we come together to celebrate, connect, and succeed.
Paddle as One.
Learn more at appfolio.com/company/careers
Statement of Equal Opportunity
At AppFolio, we value diversity in backgrounds and perspectives and depend on it to drive our innovative culture. That's why we're a proud Equal Opportunity Employer, and we believe that our products, our teams, and our business are stronger because of it. This means that no matter what race, color, religion, sex, sexual orientation, gender identification, national origin, age, marital status, ancestry, physical or mental disability, or veteran status, you're always welcome at AppFolio.

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