ZipRecruiter

Log In

2

Remote Ibm Ai Jobs (NOW HIRING)

Concordance Healthcare Solutions

$90K - $120K/yr

Use approved AI-assisted tools, where appropriate, to improve development of productivity ... Proficiency with RPGLE, CLLE, IBM i development concepts, subfiles, service programs, subprocedures ...

Addison Group

ERP Development Lead

Houston, TX · Remote

$70 - $75/hr

Develop and maintain RPG-based solutions within IBM iSeries / AS400 * Work with DB2 databases ... AI-Driven Workflow Development * Offshore Development Team (India)

AmeriSave Mortgage Corp.

$175K - $350K/yr

Experience with rules engines such as FICO Blaze Advisor , IBM Operational Decision Manager (ODM ... High-speed internet required for remote work, Cable or Fiber ONLY with the ability to connect via ...

DivIHN

EDI Business Analyst - Remote

Experience working on EDI projects in an IBM Sterling B2B Integrator version 6.2 environment ... Exposure to AI-assisted development tools and automation frameworks. * Experience building ...

MaxAccelerate

Maximo For Transportation SME

... and AI transformation company specializing in IBM Maximo, MAS 8/9 upgrades, and industry ... Comfortable working with remote and cross-border teams . Benefits Why Join MaxAccelerate * Be part ...

Confluent

Principal, Product Manager

Santa Fe, NM · Remote

Remote, United States Employment Type: FullTime Location Type: Remote Department Product ... Define how Confluent Flink offerings will work across Confluent and IBM product portfolio. What You ...

Confluent

Principal, Product Manager

Santa Fe, NM · Remote

Remote, United States Employment Type: FullTime Location Type: Remote Department Product ... Define how Confluent Flink offerings will work across Confluent and IBM product portfolio. What You ...

previous pagenext page

Showing results 21-40

All Jobsremote JobsRemote Ibm Ai Jobs

Remote Ibm Ai information

See salary details

$15

$27

$37

How much do remote ibm ai jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for remote ibm ai in the United States is $27.67, according to ZipRecruiter salary data. Most workers in this role earn between $21.63 and $33.17 per hour, depending on experience, location, and employer.

What is a remote IBM AI?

A Remote IBM AI job involves working with IBM's artificial intelligence technologies and platforms, such as IBM Watson, from a location outside of a traditional office setting. These roles may include developing, deploying, or managing AI models, collaborating with teams virtually, and providing AI-based solutions for clients. Job titles can range from AI Engineer to Data Scientist, focusing on leveraging IBM's AI tools to solve business problems. Remote IBM AI professionals use cloud-based platforms and communication tools to stay connected and productive while working from home or any remote location.

What are the key skills and qualifications needed to thrive as a remote IBM AI specialist?

To thrive as a Remote IBM AI Specialist, you need strong expertise in artificial intelligence, machine learning, data analysis, and programming languages like Python, typically supported by a degree in computer science or a related field. Familiarity with IBM AI platforms such as Watson, cloud computing environments, and relevant certifications (e.g., IBM Certified AI Engineer) is essential. Excellent problem-solving, communication, and self-motivation are vital soft skills for collaborating remotely and managing complex projects. These skills ensure effective AI solution development, seamless remote teamwork, and successful client outcomes in a rapidly evolving tech landscape.

What are some of the typical challenges faced when working remotely as an IBM AI specialist, and how can they be addressed?

Working remotely as an IBM AI specialist often involves collaborating with global teams across multiple time zones, which can make real-time communication and project alignment challenging. Staying connected through regular video meetings, clear documentation, and utilizing IBM's suite of collaboration tools can help bridge these gaps. Additionally, remote AI specialists must be proactive in staying updated with evolving technologies and best practices, which can be achieved through IBM’s online training resources and active participation in internal forums. Balancing independent problem-solving with timely team input is key to success in this role.

What is the difference between Remote Ibm Ai vs Remote Data Scientist?

AspectRemote Ibm AiRemote Data Scientist
Required CredentialsAI certifications, IBM-specific training, programming skillsStatistics, programming, machine learning certifications
Work EnvironmentCollaborates with AI teams, uses IBM cloud toolsAnalyzes data, builds models, often uses cloud platforms
Industry UsageTech, finance, healthcare with IBM AI solutionsBroad across industries like tech, finance, healthcare

Remote Ibm Ai roles focus on developing and implementing AI solutions using IBM technologies, often requiring specific certifications and cloud tools. Remote Data Scientists analyze data and build models across various industries. While both roles involve AI and data skills, Remote Ibm Ai is more specialized in IBM platforms, whereas Remote Data Scientist roles are broader in scope.

More about Remote Ibm Ai jobs

What cities are hiring for Remote Ibm Ai jobs?

Cities with the most Remote Ibm Ai job openings:

What are the most commonly searched types of Ibm Ai jobs?

The most popular types of Ibm Ai jobs are:

What states have the most Remote Ibm Ai jobs?

States with the most job openings for Remote Ibm Ai jobs include:

What job categories do people searching Remote Ibm Ai jobs look for?

The top searched job categories for Remote Ibm Ai jobs are:

Remote Ibm Ai jobs near you
Infographic showing various Remote Ibm Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $57,562 per year, or $27.7 per hour.

Head of Asset Management & AI Transformation

MaxAccelerate

Remote

Full-time

Re-posted 20 days ago

Job description

Head of Asset Management & AI Transformation
Remote Global Role Multi-Industry
This is not a traditional asset management role
This role is designed for someone who understands that the future of maintenance and asset management is driven by data, reliability engineering, and intelligent systems.
If your experience is rooted in Reliability-Centred Maintenance (RCM), preventive and predictive strategies, labour optimisation, and cost control, and you are interested in applying this knowledge to AI-driven solutions, this is a unique opportunity to operate at the forefront of the industry.
About MaxAccelerate Technology Group
MaxAccelerate Technology Group is a global technology and transformation business focused on helping asset-intensive organisations improve performance, reduce cost, and scale operations through data, systems, and AI.
Through our ecosystem, including DataMax AI, we work with organisations across Facilities Management, Transportation, Pharma, Manufacturing, Energy, and Infrastructure to transform how assets are managed.
Our approach is grounded in real operational understanding:
  • Maintenance strategies must be structured, measurable, and optimised
  • Systems such as IBM Maximo and other EAM platforms must deliver actionable insight
  • AI must be applied in a way that drives tangible outcomes across cost, labour, and asset performance

The Role
We are seeking a Head of Asset Management & AI Transformation to lead the definition and delivery of AI-driven asset management solutions.
The focus of the role is to take deep operational knowledge - including:
  • RCM frameworks
  • Preventive and condition-based maintenance strategies
  • Workforce planning and labour models
  • Spare parts, inventory, and asset lifecycle considerations

and translate these into structured AI use cases and scalable solutions.
Key Responsibilities
  • Work closely with Heads of Maintenance, Engineering Leaders, and Operations teams to understand:
    • Maintenance strategies and maturity
    • Preventive vs reactive ratios
    • Labour utilisation and workforce efficiency
    • Spare parts management and inventory control
  • Define and structure AI use cases that address:
    • Reduction in reactive maintenance
    • Optimisation of preventive maintenance schedules
    • Labour efficiency and workforce planning
    • Spare parts forecasting and cost reduction
    • Asset lifecycle optimisation
  • Develop and lead Proof of Concepts (PoCs) that validate:
    • Operational improvements
    • Cost savings
    • Performance uplift
  • Translate business requirements into clear scope of works for DataMax AI R&D teams
  • Ensure AI solutions integrate effectively with EAM/CMMS platforms (Maximo preferred) and align with real operational workflows
  • Build clear ROI models, ensuring every solution delivers measurable impact across:
    • Maintenance costs
    • Asset uptime
    • Labour efficiency
    • Inventory and working capital
  • Support clients in adopting solutions that improve their infrastructure, operations, and long-term asset strategy

Why This Role Matters
Most organisations have:
  • Maintenance strategies defined on paper
  • Systems implemented but underutilised
  • Data available but not fully leveraged

This role exists to bridge that gap.
You will ensure that:
  • Maintenance frameworks such as RCM are not just theoretical, but digitised and optimised
  • Preventive strategies are continuously refined based on real performance data
  • Labour and cost structures are aligned with actual operational demand
  • AI is applied in a way that improves real infrastructure outcomes, not just reporting

What We Are Looking For
  • Strong background in Asset Management, Maintenance, or Engineering leadership
  • Deep understanding of:
    • RCM and reliability frameworks
    • Preventive and predictive maintenance strategies
    • Workforce and labour optimisation
    • Spare parts and inventory management
  • Experience working with EAM/CMMS platforms, ideally IBM Maximo
  • Ability to translate operational challenges into structured, solution-driven approaches
  • Commercial awareness and the ability to link technical improvements to cost and performance outcomes

The Opportunity
This role offers the opportunity to work across industries and influence how organisations manage and optimise critical assets.
You will play a key role in:
  • Defining how AI is applied to asset management in real environments
  • Delivering measurable improvements in cost, performance, and efficiency
  • Shaping solutions that can be scaled across multiple industries

Apply
If you are interested in moving beyond traditional asset management roles and want to be involved in shaping the next generation of maintenance and asset optimisation, we would welcome a conversation.

Apply