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Remote Ai Image Jobs (NOW HIRING)

AI Production Designer

Los Angeles, CA ยท Remote

$85K - $100K/yr

You'll need to work efficiently and largely independently -- especially given the remote nature of ... Have good judgment, not just execution -- you can recognize when an image or layout doesn't work at ...

AI Production Designer

Los Angeles, CA ยท On-site +1

$85K - $100K/yr

You'll need to work efficiently and largely independently - especially given the remote nature of ... Have good judgment, not just execution - you can recognize when an image or layout doesn't work at ...

... Medical Image Analysis) and represent Nucs AI at scientific conferences Clinical Translation ... Autonomy and flexibility - Remote-first, flexible working. We hire great people and trust them to ...

AI/ ML Engineer

New York, NY ยท Remote

$60 - $62/hr

US/ Canada- Remote Minimum exp. required: 8+ yrs. We are looking for a GenAI Engineer to design ... Experience with multi-modal models (text, image, audio) * Background in NLP, ML, or Data Science

... AI and hand-edited imaging, and hands-on training to streamline merchandising from capture to ... This is a fully remote position. Applicants must be based in the Central or Eastern Time Zone and ...

All other US & Canada (Remote) About the Role CSC Generation is building AI-native creative ... Build AI-native workflows for image, video, copy, resizing, QA, approvals, and deployment across ...

All other US & Canada (Remote) About the Role CSC Generation is building AI-native creative ... Build AI-native workflows for image, video, copy, resizing, QA, approvals, and deployment across ...

Austin, TX (Remote); Toronto, ON (Remote); All other US & Canada (Remote) About the Role We are ... Design and implement AI-native workflows for image, video, copy, resizing, versioning, QA, ...

Austin, TX (Remote); Toronto, ON (Remote); All other US & Canada (Remote) About the Role We are ... Design and implement AI-native workflows for image, video, copy, resizing, versioning, QA, ...

This role is based in the UK, remote. AI Innovation at Dataminr Working at Dataminr you'll have the ... image, video, audio and sensor data across 150+ languages, empowering our clients to stay one step ...

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Remote Ai Image information

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$10

$33

$60

How much do remote ai image jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for remote ai image in the United States is $33.92, according to ZipRecruiter salary data. Most workers in this role earn between $27.40 and $38.22 per hour, depending on experience, location, and employer.

What is a Remote AI Image Specialist?

A Remote AI Image Specialist is a professional who works from a remote location to create, enhance, or analyze images using artificial intelligence technologies. They may use machine learning models to generate realistic images, edit photos, or interpret visual data for various applications such as marketing, design, healthcare, or research. This role typically involves working with AI tools like generative adversarial networks (GANs), image recognition software, and editing platforms. Remote AI Image Specialists often collaborate with teams online and can work for companies or as freelancers. Strong technical skills and an understanding of AI-driven image processing are essential for this position.

What is the difference between Remote Ai Image vs Remote Graphic Designer?

AspectRemote Ai ImageRemote Graphic Designer
Required SkillsAI tools, image generation, machine learning basicsDesign software, creativity, visual communication
Work EnvironmentRemote, tech-focused, collaborative with AI teamsRemote or on-site, creative studios or agencies
Industry UsageTech companies, AI startups, digital content creationAdvertising, marketing, branding agencies
CertificationsAI, machine learning, digital art coursesDesign degrees, Adobe certifications

Remote Ai Image specialists focus on generating images using AI tools and machine learning, often working within tech or AI-driven companies. In contrast, Remote Graphic Designers create visual content using traditional design software for various industries. While both roles require creativity, the skills and tools differ significantly, making each suited to different career paths and employer needs.

What are some common challenges faced by remote AI image specialists and how can they be overcome?

Remote AI image specialists often encounter challenges such as collaborating effectively across different time zones, ensuring high-quality data labeling, and managing large datasets securely. To overcome these, it's important to establish clear communication channels with team members, use collaboration tools for version control and feedback, and follow best practices for data privacy and transfer. Regular virtual meetings and thorough documentation can also help maintain project alignment and workflow efficiency.

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

To thrive as a Remote AI Image Specialist, you need a solid background in computer vision, image processing, and machine learning, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, OpenCV, and cloud-based image annotation platforms is typically required. Strong problem-solving skills, self-motivation, and clear remote communication are vital soft skills for collaborating across distributed teams. These skills enable effective development, deployment, and refinement of AI-driven image solutions in a remote work environment.
More about Remote Ai Image jobs
What cities are hiring for Remote Ai Image jobs? Cities with the most Remote Ai Image job openings:
What are the most commonly searched types of Ai Image jobs? The most popular types of Ai Image jobs are:
What states have the most Remote Ai Image jobs? States with the most job openings for Remote Ai Image jobs include:
Infographic showing various Remote Ai Image job openings in the United States as of June 2026, with employment types broken down into 72% Full Time, 14% Temporary, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $70,561 per year, or $33.9 per hour.
Infrastructure Engineer (GPU & Compute)

Infrastructure Engineer (GPU & Compute)

Lightning AI

New York, NY โ€ข On-site, Remote

$117K - $154K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago


Job description

Who We Are
Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems-designed to take ideas from research to production with less friction.
Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.
We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.
What We're Looking For
Lightning AI is seeking a GPU & Compute Infrastructure Engineer to join our Infrastructure Engineering team.
In this role, you will own image management, system diagnostics, and validation across large-scale bare-metal compute infrastructure, with a particular focus on GPU-enabled systems. You will work at the intersection of hardware, systems, and software-developing automation, improving reliability, and enabling efficient cluster bring-up for AI/ML and HPC workloads.
You will play a key role in owning and evolving our image pipeline, running validation environments and test clusters, and supporting both system-level and GPU hardware qualification. This role is critical to ensuring that our infrastructure is consistent, performant, and ready to support demanding AI workloads from day one.
We're flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.
What You'll Do
Systems, Image & Validation Infrastructure
  • Own and evolve systems for image management, deployment, and validation across bare-metal infrastructure
  • Run and maintain test clusters used for system validation, diagnostics, and bring-up
  • Validate firmware, drivers, and OS images across compute and GPU-enabled systems
  • Support hardware qualification efforts for next-generation platforms
GPU Diagnostics & Performance
  • Own GPU diagnostics and validation workflows across large-scale infrastructure
  • Diagnose and resolve complex issues across GPUs, drivers, OS, and hardware layers
  • Analyze system and GPU performance using tools such as NVIDIA DCGM
  • Identify failure patterns and drive improvements in system stability and validation coverage
Automation & Tooling
  • Build and maintain automation for provisioning, validation, and system bring-up
  • Develop Python-based tools and workflows to improve efficiency and reduce manual operational overhead
  • Improve the reliability, repeatability, and scalability of image pipelines and validation systems
Systems & Operations
  • Manage and operate Linux-based systems in production and validation environments
  • Manage virtualization technology
  • Support bare-metal provisioning workflows, including PXE and image-based systems
  • Interface with hardware management systems (e.g., IPMI, Redfish) for monitoring and debugging
Cross-Functional Collaboration
  • Partner with Infrastructure, Hardware, and Data Center teams on system bring-up and validation
  • Collaborate with platform and ML teams to ensure systems meet workload requirements
  • Contribute to best practices for provisioning, diagnostics, and lifecycle management of infrastructure
What You'll Need
Required Qualifications
  • 5+ years of experience in infrastructure engineering, systems engineering, or related roles
  • Strong Linux systems experience in production environments
  • Hands-on experience with GPU-enabled systems and tools such as NVIDIA DCGM
  • Familiarity with bare-metal provisioning and system bring-up workflows
  • Proficiency in Python or similar scripting/programming languages for automation
  • Ability to debug complex issues across hardware, OS, GPUs, and system software
Ideal Experience
  • Experience with high-performance interconnects (e.g., InfiniBand, NVLink)
  • Experience with PXE boot environments, LiveCD systems, or image-based provisioning workflows
  • Experience with hardware management interfaces such as iDRAC, IPMI, or Redfish
  • Data center operations experience, including working with physical hardware
  • Experience supporting AI/ML or HPC workloads at scale
  • Experience with GPU validation frameworks or large-scale hardware qualification processes

Compensation
We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits.
The anticipated annual base salary range for this role is:
$180,000-$200,000 USD
Benefits and Perks
We offer a comprehensive and competitive benefits package designed to support our employees' health, well-being, and long-term success. Benefits may vary by location, team, and role.
Benefits include:
  • Comprehensive medical, dental and vision coverage (U.S.); Private medical and dental insurance (U.K.)
  • Retirement and financial wellness support (U.S.); Pension contribution (U.K.)
  • Generous paid time off, plus holidays
  • Paid parental leave
  • Professional development support
  • Wellness and work-from-home stipends
  • Flexible work environment

At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.