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Remote Ai Support Jobs in Spring, TX (NOW HIRING)

As we transition lease abstraction toward an AI-driven process, accuracy is non-negotiable: you ... Supporting the lease abstraction process by serving as a point of contact for our offshore ...

Remote micro1 is engaging Business Document Experts (Excel, PowerPoint, Word) to participate in a ... Direct experience supporting or driving projects in strategy, operations, sales, marketing, finance ...

AI Engineer Developer

Houston, TX · Remote

$40 - $45/hr

Houston TX or US Remote Duration: 6-12 months Skills: AI and Automation~AI Agents Experience ... support processes. · Strong understanding of secure coding practices, data privacy, access ...

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Remote Ai Support information

See Spring, TX salary details

$12

$23

$39

How much do remote ai support jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for remote ai support in Spring, TX is $23.18, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $25.24 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote AI Support specialist, and why are they important?

To thrive as a Remote AI Support specialist, you need a solid understanding of AI concepts, troubleshooting skills, and experience with customer support, often supported by a relevant degree or technical certification. Familiarity with ticketing systems, remote desktop tools, knowledge bases, and platforms like Slack or Zendesk is typically required. Strong communication, problem-solving abilities, and patience help you stand out when assisting diverse clients virtually. These skills are crucial for effectively resolving technical issues, ensuring customer satisfaction, and maintaining smooth operations in remote environments.

What is the difference between Remote Ai Support vs Remote Customer Support?

AspectRemote Ai SupportRemote Customer Support
Required CredentialsTechnical knowledge, AI tools familiarityCommunication skills, customer service experience
Work EnvironmentAI platforms, software toolsCustomer interaction channels (phone, chat, email)
Industry UsageTech, AI development companiesRetail, service industries, e-commerce
Common Search IntentTechnical AI support rolesCustomer service jobs

Remote Ai Support involves assisting users with AI tools and platforms, requiring technical skills and familiarity with AI technologies. In contrast, Remote Customer Support focuses on resolving customer inquiries through communication channels, emphasizing interpersonal skills. While both roles are remote and industry-related, they serve different functions within organizations.

What is a Remote AI Support job?

A Remote AI Support job involves assisting customers, clients, or internal teams with issues related to artificial intelligence products or services, all while working remotely. These professionals may help troubleshoot AI tools, answer technical questions, provide product guidance, and escalate complex issues to specialized teams. They often use chat, email, or video calls to communicate, and may work for technology companies, SaaS providers, or startups. Strong communication skills, technical literacy, and familiarity with AI concepts are typically required.

What are some common challenges faced by Remote AI Support professionals, and how can they be effectively managed?

Remote AI Support professionals often encounter challenges such as troubleshooting complex AI systems without direct physical access, managing effective communication with clients or team members across different time zones, and staying updated with rapidly evolving AI technologies. To manage these challenges, it's important to maintain clear documentation, leverage remote collaboration tools, and prioritize continuous learning. Establishing regular check-ins with the team and creating a structured workflow can also help ensure smooth support operations and timely issue resolution.
What are popular job titles related to Remote Ai Support jobs in Spring, TX? For Remote Ai Support jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Remote Ai Support jobs in Spring, TX look for? The top searched job categories for Remote Ai Support jobs in Spring, TX are:
What cities near Spring, TX are hiring for Remote Ai Support jobs? Cities near Spring, TX with the most Remote Ai Support job openings:
Infographic showing various Remote Ai Support job openings in Spring, TX as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $48,214 per year, or $23.2 per hour.
Product Support Specialist (REMOTE)

Product Support Specialist (REMOTE)

JLL

Houston, TX • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago


JLL rating

8.3

Company rating: 8.3 out of 10

Based on 271 frontline employees who took The Breakroom Quiz

43rd of 200 rated real estate companies


Job description

JLL empowers you to shape a brighter way.

Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented peopleand empowering them tothrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.

Product Support Specialist - LeasingOS Portfolio Management

About the role

LeasingOS is a fast-growing product within JLL's leasing technology portfolio, and we are scaling our product and support function rapidly as we extend it across the business. As a Product Support Specialist, you will serve as a product expert for the Portfolio Management capabilities of LeasingOS - the connective tissue between our brokers and the product. You will represent Portfolio Management to our users, train brokers to use it effectively, and uphold a consistently high standard of quality and service across our lease abstraction work.

This role demands exceptional attention to detail. As we transition lease abstraction toward an AI-driven process, accuracy is non-negotiable: you will be relied on to spot issues in lease data that others miss and to keep the quality of our output high.

As the Product Support Specialist, you will be responsible for:

  • Acting as the product subject-matter expert for the Portfolio Management section of LeasingOS, and delivering training and walkthroughs that help brokers adopt and get value from it
  • Conducting detailed quality review of abstracted lease data, identifying discrepancies and resolving issues to maintain a high standard of accuracy and service
  • Supporting the lease abstraction process by serving as a point of contact for our offshore abstraction team, resolving their questions to keep delivery moving smoothly
  • Resolving recurring user queries through our support channels, providing consistent, professional and timely responses
  • Managing broker expectations on abstraction timelines, handling time-sensitive conversations with professionalism and care
  • Supporting stakeholder communication on topics including pricing and product vision

Sounds like you?

  • Experience in lease abstraction or lease administration, with the demonstrated ability to spot issues and discrepancies in lease data
  • Exceptional attention to detail and a strong commitment to quality of work and service
  • Excellent interpersonal and communication skills, including the confidence to manage demanding or time-pressured conversations and keep them productive
  • Comfortable managing expectations and competing priorities in a fast-paced environment
  • Comfort with, and interest in, AI-supported workflows
  • Self-directed, with a bias toward continuous learning and initiative

This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship.

Estimated compensation for this position:

55,000.00 - 70,000.00 USD per year

This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations.

Location:

Remote -Atlanta, GA, Austin, TX, El Paso, TX, Houston, TX, Knoxville, TN, Memphis, TN, Nashville, TN, Oklahoma City, OK

If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table!


Personalized benefits that support personal well-being and growth:

JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include:

  • 401(k) plan with matching company contributions

  • Comprehensive Medical, Dental & Vision Care

  • Paid parental leave at 100% of salary

  • Paid Time Off and Company Holidays

  • Early access to earned wages through Daily Pay

At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you'repursuing.

JLL Privacy Notice

Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.

For more information about how JLL processes your personal data, please view our Candidate Privacy Statement.

For additional details please see our career site pages for each country.

For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here.

Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at HRSCLeaves@jll.com. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.

Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment.

Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest.

Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate.

California Residents only

If you are a California resident as defined in the California Consumer Privacy Act (CCPA) please view ourSupplemental Privacy Statement which describes your rights and disclosures about your personal information.If you are viewing this on a mobile device you may want to view the CCPA version on a larger device.

Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Accepting applications on an ongoing basis until candidate identified.


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