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Permanent Model Builder Jobs (NOW HIRING)

Procom Services

iOS Engineer

Raleigh, NC · On-site

$50.25 - $69.25/hr

... Permanent Placement (Staff Augmentation) ICAP (Contractor Payroll) Flextrack (Vendor Management ... The client is searching for a consultant to design, data model, build databases and queries and ...

Sonsoft Inc

Data Modeler

Livingston, NJ · On-site

$59.75 - $77.50/hr

Preferred Build referential integrity into the models. Work with developers and data architects to ... This is a Full-Time Permanent job opportunity for you. * Only US Citizen, Green Card Holder, TN ...

Sonsoft Inc

Data Modeler

Livingston, NJ

$59.75 - $77.50/hr

Preferred Build referential integrity into the models. Work with developers and data architects to ... This is a Full-Time Permanent job opportunity for you. * Only US Citizen, Green Card Holder, TN ...

Sonsoft Inc

Data Modeler

Livingston, NJ

$59.75 - $77.50/hr

Preferred Build referential integrity into the models. Work with developers and data architects to ... This is a Full-Time Permanent job opportunity for you. * Only US Citizen, Green Card Holder, TN ...

DEEPREC.AI

Multimodal LLM Researcher

Palo Alto, CA · On-site

$300K - $400K/yr

Multimodal LLM Researcher $300,000 - $400,000 Remote, Palo Alto Full-time / Permanent DeepRec has ... and diffusion models - Build and curate high-quality multimodal datasets - Collaborate with ...

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Permanent Model Builder information

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How much do permanent model builder jobs pay per hour?

As of Jul 1, 2026, the average hourly pay for permanent model builder in the United States is $31.37, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $39.18 per hour, depending on experience, location, and employer.

What jobs will no longer exist in 2030?

The Permanent Model Builder role is unlikely to be eliminated by 2030, but automation and 3D printing technologies could reduce demand for traditional physical model construction jobs. Roles heavily reliant on manual craftsmanship may decline as digital modeling and virtual simulations become more prevalent. Workers in such fields should consider developing skills in digital tools and automation to stay relevant.

What is the difference between Permanent Model Builder vs CAD Modeler?

AspectPermanent Model BuilderCAD Modeler
CredentialsTypically requires engineering or technical certifications, experience with 3D modelingRequires CAD software proficiency, often certifications in specific CAD programs
Work EnvironmentConstruction sites, manufacturing facilities, or design studiosDesign offices, engineering firms, or manufacturing companies
Industry UsageUsed in manufacturing, construction, and product developmentCommon in engineering, architecture, and product design
Search & Comparison IntentOften compared for roles involving physical model creation and assemblyCompared for digital design and drafting tasks

The main difference between a Permanent Model Builder and a CAD Modeler lies in their focus: Permanent Model Builders create physical models used in manufacturing or construction, requiring hands-on skills and certifications. CAD Modelers focus on digital design using CAD software, working primarily in design offices. Both roles require technical skills but serve different stages of the product development process.

How to become a model builder?

To become a permanent model builder, develop skills in design, craftsmanship, and familiarity with modeling tools and materials. Gaining experience through apprenticeships, technical training, or certifications in model making can improve job prospects, and attention to detail is essential for creating accurate and high-quality models.

What jobs in the US pay 300,000 a year?

A permanent model builder typically does not earn $300,000 annually; such high salaries are more common in executive, medical, legal, or specialized technology roles. High-paying jobs in the US often require advanced degrees, extensive experience, or specialized skills. For modeling or creative roles, salaries generally range lower unless combined with other high-level responsibilities.

How much does a model maker make?

A permanent model builder typically earns between $40,000 and $70,000 annually, depending on experience, industry, and location. Skilled model makers who work with specialized tools or materials may earn higher wages, especially in fields like aerospace, film, or architecture. Salaries can also vary based on certifications and the complexity of projects handled.
What cities are hiring for Permanent Model Builder jobs? Cities with the most Permanent Model Builder job openings:
What are the most commonly searched types of Model Builder jobs? The most popular types of Model Builder jobs are:
What states have the most Permanent Model Builder jobs? States with the most job openings for Permanent Model Builder jobs include:
Permanent Model Builder jobs near you
Senior Research Manager, World Model Evaluation

Senior Research Manager, World Model Evaluation

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 25 days ago

Job description

At NVIDIA, we're not just building the future, we're generating it! Our world model team is pushing the boundaries of multimodal AI, robotics, and world foundation models for Physical AI. We are looking for a Senior Research Manager to lead world-model evaluation and benchmarking across NVIDIA's Physical AI model portfolio. This role will build the team and research agenda for evaluating world models through closed-system evaluations, where the model under test is pluggable, and open-system evaluations, where access to model internals enables deeper diagnostics, causal analysis, and mechanistic evaluation.
This is not only about leaderboards. It is about defining what makes a world model useful for Physical AI, discovering model failures, and turning those findings into better data, training recipes, model roadmaps, and downstream systems. The team will build a closed improvement loop across model evaluation, failure discovery, data generation, post-training, and re-evaluation.
What you'll be doing:
  • Lead a team of Research Scientists focused on world-model evaluation, benchmarking, and diagnostics for NVIDIA Physical AI models, including world foundation models, world-action models, synthetic data generation systems, robotics, simulation, and embodied AI workflows.
  • Define the scientific roadmap for closed-system and open-system evaluation, including open-loop and closed-loop benchmarks, metrics, failure taxonomy, model comparison, and evaluation-to-training feedback loops.
  • Develop benchmarks for physical plausibility, temporal consistency, scene dynamics, object permanence, spatial reasoning, action conditioning, affordances, controllability, long-horizon coherence, SDG quality, and WAM usefulness.
  • Develop open-system and mechanistic evaluation methods using model internals, including representation probing, causal interventions, activation analysis, ablations, sparse autoencoders, attention and feature analysis, and circuit-style diagnostics.
  • Drive evaluation-to-model-improvement loops with training, post-training, data curation, simulation, robotics, SDG, WAM, and applied research teams, including failure discovery, data generation, post-training priorities, model roadmap feedback, and re-evaluation.
  • Publish high-quality papers, technical reports, benchmarks, and open-source evaluation artifacts while establishing rigorous standards for validity, reproducibility, dataset hygiene, leakage prevention, and model comparison.

What we need to see:
  • Strong research background in machine learning, computer vision, multimodal AI, robotics, world models, representation learning, model evaluation, or mechanistic interpretability.
  • Experience leading research teams, research programs, or cross-functional technical initiatives with measurable scientific and product impact.
  • Deep understanding of modern foundation models, including video models, vision-language-action models, diffusion or flow models, self-supervised learning, or world-model architectures.
  • Experience designing serious benchmarks, evaluation datasets, metrics, diagnostic tools, or model analysis frameworks for complex ML systems.
  • Familiarity with world-model evaluation and open-system analysis techniques, such as physical plausibility, temporal consistency, action conditioning, counterfactual reasoning, representation probing, activation patching, causal interventions, sparse autoencoders, or feature attribution.
  • PhD, or equivalent experience in Computer Science, Electrical Engineering, Robotics, Machine Learning, AI, or a related field, with
  • 12+ overall years of relevant research or engineering experience as well as 5+ years of management experience.
  • Ability to work onsite at NVIDIA's Santa Clara headquarters; this is not a remote position.

Ways to stand out from the crowd:
  • Built influential benchmarks, evaluation suites, model diagnostics, or interpretability tools used by research or production teams.
  • Published in areas such as world models, video generation, physical AI, embodied AI, robotics, representation learning, mechanistic interpretability, self-supervised learning, or model evaluation.
  • Experience evaluating generative video models, action-conditioned world models, robotics foundation models, world-action models, synthetic data generation systems, simulation systems, or vision-language-action models.
  • Strong point of view on what current benchmarks miss, and excitement to build the next generation of evaluation science for Physical AI.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until June 11, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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