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Remote Nasa Graphic Design Jobs in Riverside, CA

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

In this role, you will design and maintain the infrastructure and tooling that supports the full ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

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Remote Nasa Graphic Design information

See Riverside, CA salary details

$13

$28

$44

How much do remote nasa graphic design jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for remote nasa graphic design in Riverside, CA is $28.06, according to ZipRecruiter salary data. Most workers in this role earn between $20.82 and $32.60 per hour, depending on experience, location, and employer.

What does a remote NASA graphic designer do?

A Remote NASA Graphic Designer creates visual content to support NASA's communication, outreach, and educational initiatives. They design graphics for websites, social media, presentations, and print materials that help explain complex scientific concepts to the public. Working remotely, they collaborate with scientists, engineers, and communication teams to ensure visuals are accurate and engaging. Their work plays a vital role in making NASA's missions and discoveries accessible and appealing to a broad audience.

What are the key skills and qualifications needed to thrive as a remote NASA graphic designer?

To excel as a Remote NASA Graphic Designer, you need strong visual design skills, a solid portfolio, and a relevant degree in graphic design or a related field. Proficiency with industry-standard software such as Adobe Creative Suite (Photoshop, Illustrator, InDesign) and familiarity with digital collaboration tools are typically required. Exceptional creativity, attention to detail, and the ability to communicate complex scientific ideas visually are standout soft skills for this role. These skills are critical for effectively translating NASA's complex concepts into engaging visuals that support scientific communication and public outreach.

What are some common challenges faced by remote graphic designers working with NASA, and how can they be overcome?

Remote NASA graphic designers often face challenges such as collaborating across time zones, ensuring clear communication with scientific teams, and upholding NASA’s strict branding guidelines. To overcome these, designers typically use project management and communication platforms to stay aligned with team goals and schedules. Regular virtual check-ins and sharing work-in-progress help clarify expectations and facilitate feedback, while access to NASA’s design resources ensures adherence to branding standards. Being proactive in communication and flexible in adapting to new tools or feedback are key for success in this remote environment.

What is the difference between Remote Nasa Graphic Design vs Remote Aerospace Graphic Designer?

AspectRemote Nasa Graphic DesignRemote Aerospace Graphic Designer
CredentialsTypically requires a degree in graphic design, aerospace, or related fields; NASA-specific security clearances are uncommonRequires a degree in graphic design, aerospace engineering, or related fields; may need industry-specific certifications
Work EnvironmentPrimarily remote, collaborating with NASA teams and contractors on space-related projectsRemote or on-site, working with aerospace companies or agencies on technical and marketing visuals
Industry UsageUsed mainly within NASA and government space projectsUsed across aerospace companies, agencies, and contractors in the industry

Remote Nasa Graphic Design focuses on creating visuals for NASA's space missions and projects, often requiring knowledge of space themes and NASA branding. Remote Aerospace Graphic Designers work on visual content for various aerospace organizations, with a broader industry scope. Both roles demand strong graphic design skills, but the specific industry focus and project types differ.

What are the most commonly searched types of Nasa Graphic Design jobs in Riverside, CA?

The most popular types of Nasa Graphic Design jobs in Riverside, CA are:

What are popular job titles related to Remote Nasa Graphic Design jobs in Riverside, CA?

For Remote Nasa Graphic Design jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Remote Nasa Graphic Design jobs in Riverside, CA look for?

The top searched job categories for Remote Nasa Graphic Design jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Remote Nasa Graphic Design jobs?

Cities near Riverside, CA with the most Remote Nasa Graphic Design job openings:

Remote Nasa Graphic Design jobs near you
Infographic showing various Remote Nasa Graphic Design job openings in Riverside, CA as of June 2026, with employment types broken down into 3% Internship, 25% Full Time, 64% Part Time, 3% Temporary, 2% Contract, and 3% Nights. Highlights an 35% Physical, 3% Hybrid, and 62% Remote job distribution, with an average salary of $58,372 per year, or $28.1 per hour.

Senior Software Engineer, MLOps

FieldAI

Irvine, CA • On-site, Remote

$131K - $173K/yr

Full-time

Re-posted 5 days ago

Job description

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

We are seeking a skilled and motivated Senior MLOps Engineer to join our engineering team. In this role, you will design and maintain the infrastructure and tooling that supports the full lifecycle of machine learning systems used in robotics applications. You will work closely with machine learning engineers, robotics engineers, and infrastructure teams to ensure reliable training, evaluation, deployment, and monitoring of ML models. This is an exciting opportunity to help operationalize machine learning in real-world robotic systems within a fast-growing and dynamic environment.

What You Will Get To Do

  • Design, build, and maintain GPU based infrastructure for machine learning pipelines, including data processing, training, evaluation, inference and deployment workflows.

  • Collaborate closely with robotics teams to implement model serving infrastructure for edge/robot deployment.

  • Build tools and automation to support reproducible experiments, model versioning, and dataset management.

  • Deploy and manage ML services and inference pipelines using containerized environments for efficient scaling and scheduling of heterogeneous compute resources.

  • Monitor model performance and system reliability across development and production environments.

  • Improve the efficiency, scalability, and reliability of ML workflows and infrastructure.

  • Work with cross-functional engineering teams to integrate ML components into robotics software systems.

What You Have

  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).

  • 3-7 years of experience in MLOps, machine learning infrastructure, or related engineering roles.

  • Strong programming skills in Python or similar languages.

  • Experience building and maintaining machine learning pipelines.

  • Hands-on experience with cloud and cloud-native tools such as AWS (SageMaker, S3, or similar cloud ML services), Kubernetes etc.,

  • Solid understanding of Linux systems and distributed computing environments.

  • Experience with GPU workload scheduling and orchestration across multi-region cloud environments.

  • Excellent problem-solving skills and the ability to work collaboratively in a team environment.

What Will Set You Apart

  • Experience deploying and operating ML systems for robotics or real-world physical systems.

  • Experience with scaling AI, ML, and inference workloads on Kubernetes.

  • Exposure to ROS-based robotics data formats and pipelines (rosbags, point clouds)

  • Experience with experiment tracking, model versioning, or dataset versioning tools.

  • Experience optimizing ML pipelines for large-scale training and data processing.

  • Experience working closely with research or applied machine learning teams.

Compensation and Benefits
Our salary range is competitive with the market, but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience.  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 unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.
 
You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.
 
Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.
 
We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. 
 
Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!
 
 
 
We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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