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3D Video Jobs (NOW HIRING)

Figure

Helix AI Engineer, Generative AI

San Jose, CA

$200K - $400K/yr

Familiarity with 3D, video prediction, or world models * Prior work in robotics, embodied AI, or real-world ML systems * Publication record in machine learning, computer vision, or generative ...

Duarte Design Inc

Art Director, Presentation Design

$83K - $100K/yr

Mentor others in specialty areas such as motion, 3D, video editing, or template systems * Recommend creative solutions based on venue, format, and technical needs * Leverage new design tools, AI ...

Figure

Helix AI Engineer, Generative AI

San Jose, CA · On-site

$200K - $400K/yr

Familiarity with 3D, video prediction, or world models * Prior work in robotics, embodied AI, or real-world ML systems * Publication record in machine learning, computer vision, or generative ...

SpaceXAI

Video Tutor

$40 - $75/hr

Experience with 3D integration in video pipelines (matchmoving, CG compositing). * Familiarity with scripting or automation in post-production (Python, plugins, etc.). LOCATION AND OTHER EXPECTATIONS:

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How much do 3d video jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for 3d video in the United States is $25.43, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $29.09 per hour, depending on experience, location, and employer.

What is the difference between 3D Video vs 3D Animator?

Aspect3D Video3D Animator
Required SkillsVideo editing, compositing, rendering, 3D modeling3D modeling, rigging, animation, rendering
Work EnvironmentVideo production studios, post-production housesAnimation studios, game development, film
Industry UsageVideo content creation, advertising, filmAnimation, gaming, film

While both roles involve 3D skills, 3D Video focuses on creating and editing 3D visual content for videos, often involving compositing and post-production. 3D Animators specialize in creating animated 3D models and sequences, primarily for films, games, or animations. Both roles require knowledge of 3D software, but their applications and workflows differ significantly.

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Infographic showing various 3D Video job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $52,887 per year, or $25.4 per hour.

Helix AI Engineer, Generative AI

San Jose, CA

Figure
See more jobs at Figureexternal

$200K - $400K/yr

Full-time

Re-posted 2 days ago

Key responsibilities

  • Design, train, and deploy large-scale generative models, focusing on diffusion-based approaches for vision, video, and multimodal data.

  • Develop models to improve robot perception, world modeling, and prediction from raw sensory inputs.

  • Work closely with data, training infrastructure, and agent teams to integrate generative models into the full autonomy stack.

Job description

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. Our goal is to build embodied AI systems that can perceive, reason, and act in the real world. Figure is headquartered in San Jose, CA, and this role requires 5 days/week in-office collaboration.

Our Helix team is responsible for developing the core AI systems that power humanoid autonomy. We are looking for a Helix AI Engineer, Generative AI to build and scale generative models that enable robots to understand, simulate, and interact with the physical world. This role focuses on training and deploying diffusion and generative models across vision, video, and multimodal domains, with applications spanning perception, data generation, and model-based reasoning.

Responsibilities
  • Design, train, and deploy large-scale generative models, with a focus on diffusion-based approaches for vision, video, and multimodal data
  • Develop models that improve robot perception, world modeling, and prediction from raw sensory inputs
  • Build generative systems for synthetic data creation, augmentation, and dataset scaling for robot learning
  • Explore and implement state-of-the-art techniques in diffusion, generative modeling, and multimodal foundation models
  • Optimize training pipelines for large-scale generative models across distributed systems
  • Work closely with data, training infrastructure, and agent teams to integrate generative models into the full autonomy stack
  • Evaluate model quality, robustness, and generalization across real-world scenarios
  • Contribute to the design of scalable experimentation frameworks for generative model development
Requirements
  • Experience training and deploying generative models (diffusion, autoregressive, or related approaches) at scale
  • Strong understanding of modern deep learning techniques for vision and/or multimodal systems
  • Proficiency in Python and deep learning frameworks such as PyTorch
  • Experience working with large-scale datasets and distributed training systems
  • Strong experimental rigor and ability to iterate quickly on model performance
  • Solid software engineering skills and ability to build reliable, maintainable systems
  • Ability to operate independently and own ambiguous, high-impact technical problems
Bonus Qualifications
  • Experience with diffusion models for image or video generation
  • Experience with multimodal foundation models (vision-language or vision-language-action)
  • Background in synthetic data generation or simulation for robotics or embodied AI
  • Experience optimizing large-scale training (multi-node, GPU clusters, etc.)
  • Familiarity with 3D, video prediction, or world models
  • Prior work in robotics, embodied AI, or real-world ML systems
  • Publication record in machine learning, computer vision, or generative modeling

The US base salary range for this full-time position is between $200,000 - $400,000

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

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