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Remote Ai Robotics Jobs (NOW HIRING)

Public Relations Specialist

San Jose, CA · On-site +1

$70 - $100/hr

Remote (U.S.-based preferred, Bay Area candidates a plus) Type: Part-time (1525 hrs/week) About ... Craft compelling narratives for emerging tech (AI, robotics, SaaS) and consumer-facing products

AI Solutions Delivery Architect

$64.50 - $85/hr

Strong understanding of AI concepts, generative AI, RPA, and intelligent automation platforms ... This is a remote role; however, applicants located within 45 miles of our Westlake/Dallas, TX ...

Tax AI Expert

$100 - $120/hr

US, UK, Canada, France, Portugal (remote) We are seeking a highly motivated and detail-oriented Tax ... Exposure to automation tools such as RPA or AI-based compliance solutions. * Knowledge of global ...

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option. Why Join Field AI? We are solving one of the world's most complex challenges: deploying robots in ...

We sit at the intersection of AI, robotics, and healthcare, operating across three product lines: a ... Location United States (remote OK) Compensation 1.2× your current market rate. Competitive equity.

We sit at the intersection of AI, robotics, and healthcare, operating across three product lines: a ... Location United States (remote OK) Compensation 1.2× your current market rate. Competitive equity.

Helm.ai builds AI software for autonomous driving and robotics. Our "Deep Teaching" methodology is ... Remote-friendly and flexible team culture * Free lunch and fully-stocked kitchen in our South Bay ...

New

From robotic process automation (RPA) to workflow orchestration and generative AI, your work will have a measurable impact in helping to shape Sarnova's future. Essential Duties and Responsibilities:

Senior Field Engineer

Berkeley, CA · Remote

$120K - $140K/yr

Ambi Robotics builds and operates production AI-powered robotic systems that run 24/7 in customer ... Develop and improve tooling, diagnostics, and remote infrastructure to ensure fleet excellence You ...

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Remote Ai Robotics information

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$84K

$96K

$116.5K

How much do remote ai robotics jobs pay per year?

As of Jun 23, 2026, the average yearly pay for remote ai robotics in the United States is $96,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $102,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals working in remote AI robotics roles, and how can they be addressed?

Professionals in remote AI robotics roles often face challenges such as effective communication with distributed teams, managing hardware remotely, and ensuring reliable data transmission between systems. Overcoming these challenges typically involves adopting robust collaboration tools, implementing clear documentation practices, and using remote monitoring software to manage and troubleshoot robotic systems. Regular virtual meetings and clear protocols also help maintain alignment and productivity, while ongoing training ensures team members stay updated on the latest technologies and best practices in both AI and robotics.

What is a Remote AI Robotics job?

A Remote AI Robotics job involves working with artificial intelligence and robotics technologies from a remote location, rather than on-site. Professionals in this field design, develop, program, and manage robotic systems that use AI to perform tasks autonomously or semi-autonomously. These roles often require expertise in machine learning, computer vision, robotics engineering, and software development. Remote positions allow for collaboration with teams and clients across the globe, leveraging digital tools for communication and project management.

What is the difference between Remote Ai Robotics vs Remote Machine Learning Engineer?

AspectRemote Ai RoboticsRemote Machine Learning Engineer
Required CredentialsBachelor's or higher in Robotics, AI, or related fields; experience with robotics platformsBachelor's or higher in Computer Science, AI, or related; strong programming skills in Python
Work EnvironmentHands-on with robotics hardware, simulation, and software developmentFocus on developing algorithms, models, and data analysis in software environments
Industry UsageRobotics companies, automation firms, research labsTech companies, startups, research institutions
Common Search/ComparisonRemote Ai Robotics vs Remote Machine Learning Engineer

Remote Ai Robotics involves working with physical robots and hardware integration, while Remote Machine Learning Engineers focus on developing algorithms and models in software. Both roles require strong programming skills and a background in AI, but they differ in their work environment and industry applications.

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

To thrive as a Remote AI Robotics Engineer, you need strong skills in robotics engineering, artificial intelligence, programming (such as Python or C++), and typically a degree in computer science, robotics, or a related field. Familiarity with robotics simulation tools (like ROS, Gazebo), machine learning frameworks (such as TensorFlow or PyTorch), and cloud-based collaboration platforms is essential. Excellent problem-solving abilities, effective communication, and self-motivation are important soft skills, especially when working remotely. These skills and qualities enable efficient development, troubleshooting, and innovation in building intelligent robotic systems from distributed locations.
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Senior Program Director - RPA & Agentic AI

Senior Program Director - RPA & Agentic AI

Noblesoft Technologies

Dallas, TX • Remote

$118K - $119K/yr

Contractor

Posted 25 days ago


Job description

Job Title - Senior Program Director – RPA & Agentic AI
USA - Remote
Experience - 15+ years overall experience, including 8–10+ years leading large-scale enterprise programs
Role Overview
We are seeking an accomplished Senior Program Director to lead and govern large, complex enterprise programs focused on Robotic Process Automation (RPA) and Agentic AI initiatives. This role requires deep expertise in managing multi-year, multi-vendor automation and AI transformation programs, aligning business strategy with emerging AI capabilities, and delivering measurable business outcomes at scale.
The ideal candidate will have strong leadership presence, proven experience managing global programs, and the ability to bridge business, technology, and operations while driving innovation using RPA, AI agents, and intelligent automation platforms.
Key Responsibilities
Program Leadership & Governance
• Lead end-to-end enterprise-scale RPA and Agentic AI programs, managing scope, timelines, budgets, risks, and dependencies.
• Establish and run program governance structures, including steering committees, executive reviews, and value-tracking mechanisms.
• Own overall program roadmap, milestones, and success metrics aligned with business objectives.
• Ensure compliance with organizational, regulatory, security, and ethical AI standards.
Strategy & Transformation
• Partner with C-level executives and senior stakeholders to define automation and AI strategy, operating model, and long-term vision.
• Drive the transition from traditional RPA to intelligent automation and agentic AI–led solutions.
• Identify high-value automation and AI opportunities across business functions (Finance, HR, Supply Chain, Customer Operations, IT, etc.).
• Build and scale Automation / AI Centers of Excellence (CoE).
Stakeholder & Client Management
• Act as the primary interface with executive sponsors, business leaders, and external partners.
• Translate business goals into executable AI and automation programs.
• Manage stakeholder expectations, communication plans, and change management activities.
• Influence decision-making across diverse and global teams.
Delivery & Execution
• Oversee multiple workstreams including solution design, development, testing, deployment, and hypercare.
• Ensure delivery excellence using Agile, SAFe, or hybrid delivery models.
• Drive benefits realization, ROI tracking, and continuous improvement.
• Manage large cross-functional teams including program managers, architects, data scientists, RPA developers, and business analysts.
Technology & Architecture Oversight
• Provide strategic ov.ersight on:
• RPA platforms (UiPath, Automation Anywhere, Blue Prism, etc.)
• Agentic AI frameworks and orchestration layers
• LLM-based solutions and AI copilots
• Process mining and task mining tools
• Ensure solutions are scalable, secure, and aligned with enterprise architecture.
• Collaborate with Enterprise Architecture, Security, and Data teams.
Vendor & Financial Management
• Manage multi-vendor ecosystems including system integrators, platform providers, and niche AI vendors.
• Own program budgets, forecasts, and commercial negotiations.
• Ensure contractual compliance and performance management.
Required Qualifications
Education
• Bachelor’s degree in Engineering, Computer Science, Information Systems, or related field
• Master’s degree (MBA / MS) preferred
Experience
• 15+ years of experience in IT, Digital Transformation, or Automation programs
• 8–10+ years leading large, complex enterprise programs (multi-million dollar budgets)
• Proven experience delivering RPA at scale and transitioning to AI-driven automation
• Hands-on exposure to Agentic AI, AI agents, LLM orchestration, or intelligent automation platforms
Required Skills & Competencies
Leadership & Program Management
• Exceptional program and portfolio management skills
• Strong executive presence and communication abilities
• Experience managing global, cross-cultural teams
• Advanced risk, dependency, and change management expertise
Technical & Domain Expertise
• Deep understanding of:
• RPA platforms and operating models
• Agentic AI concepts (autonomous agents, goal-driven AI, tool orchestration)
• AI governance, ethics, and compliance
• Familiarity with cloud platforms (AWS, Azure, GCP)
• Understanding of data, integration, and security considerations
Business & Strategic Skills
• Strong business acumen with the ability to articulate AI value in financial terms
• Experience building business cases and tracking ROI
• Ability to influence without authority
• Strong problem-solving and decision-making skills
Preferred Certifications
• PMP / PgMP / SAFe Program Consultant
• UiPath / Automation Anywhere / Blue Prism certifications
• AI / ML or Cloud certifications (AWS, Azure, Google)
• ITIL or TOGAF (nice to have)