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Home Based 3D Rendering Jobs (NOW HIRING)

Backed by their deep industry experience and a commitment to be Home Organizer's critical SaaS ... Collaborate with cross-functional teams, including 3D rendering engineers and UX/UI designers, to ...

Fashion meets innovation in the design of our two state-of-the-art facilities based in the heart of ... The ideal candidate brings deep expertise in 3D design and rendering, excellent aesthetic ...

Fashion meets innovation in the design of our two state-of-the-art facilities based in the heart of ... The ideal candidate brings deep expertise in 3D design and rendering, excellent aesthetic ...

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Home Based 3D Rendering information

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How much do home based 3d rendering jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for home based 3d rendering in the United States is $39.46, according to ZipRecruiter salary data. Most workers in this role earn between $27.16 and $48.56 per hour, depending on experience, location, and employer.

What is home based 3D rendering?

Home based 3D rendering is the process of creating three-dimensional images or animations from a personal workspace, typically using specialized software and a powerful computer. Professionals in this field often work remotely for clients in industries such as architecture, interior design, gaming, or advertising. The work involves transforming digital models into realistic visual representations, allowing clients to preview designs before they are built or produced.

What are the key skills and qualifications needed to thrive as a Home Based 3D Rendering Specialist, and why are they important?

To thrive as a Home Based 3D Rendering Specialist, you need proficiency in 3D modeling, rendering techniques, and a solid understanding of design principles, often supported by a degree in architecture, design, or a related field. Expertise with industry-standard software such as Autodesk 3ds Max, Blender, or SketchUp, and experience with rendering engines like V-Ray or Lumion, is typically required. Strong attention to detail, time management, and effective communication with clients help set you apart in remote work environments. These skills ensure the creation of high-quality, visually appealing renderings that meet client expectations and project deadlines.

What are some common challenges faced by home-based 3D rendering professionals, and how can they be addressed?

Home-based 3D rendering professionals often encounter challenges such as managing client communication remotely, staying motivated without direct supervision, and keeping up with rapidly evolving software and hardware. Establishing clear communication channels with clients and setting regular project milestones can help ensure expectations are met. Additionally, joining online communities and investing in ongoing training can keep skills current and provide networking opportunities. Creating a dedicated workspace also helps maintain productivity and work-life balance.
More about Home Based 3D Rendering jobs
What cities are hiring for Home Based 3D Rendering jobs? Cities with the most Home Based 3D Rendering job openings:
What are the most commonly searched types of 3D Rendering jobs? The most popular types of 3D Rendering jobs are:
What states have the most Home Based 3D Rendering jobs? States with the most job openings for Home Based 3D Rendering jobs include:
What job categories do people searching Home Based 3D Rendering jobs look for? The top searched job categories for Home Based 3D Rendering jobs are:
Infographic showing various Home Based 3D Rendering job openings in the United States as of July 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $82,070 per year, or $39.5 per hour.

Machine Learning Engineer - 3D Sensor Simulation

Zoox

Foster City, CA • On-site

$176K - $257K/yr

Full-time

Posted 3 days ago


Job description

In this role, you will:
  • Research, implement, and optimize state of the art 3D rendering of sensor data, leveraging GenAI/ML and 3D graphics.
  • Develop realism metrics with V&V to show measurable impact of your improved sensor fidelity.
  • Collaborate with Perception and Safety teams to improve realism of sensor simulation for high fidelity synthetic data.
  • Improve rendering and ML inference tooling for generating realistic data at scale.

Qualifications
  • 2+ years of industry experience, and/or PhD, developing neural rendering techniques like Gaussian Splatting, NeRFs, or 3D reconstruction
  • 2+ years of experience developing software with Python and/or modern C++
  • Expertise with machine learning frameworks PyTorch or Tensorflow
  • Familiarity with 3D graphics algorithms, such as 3D geometry and camera models
  • Strong mathematical skills and understanding of 3D linear algebra and probabilistic techniques

Bonus Qualifications
  • Master's or PhD in computer science, mathematics, physics, or related field
  • Experience with generative models for 3D content pipelines using applications like Houdini, Maya, or Blender.
  • Experience in 3D rendering for simulation, games, cloud computing, or VFX

$176,000 - $257,000 a year
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
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Accommodations
If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.
A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
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.