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Model Validation Remote Jobs in California (NOW HIRING)

Develop fully parametric 3D CAD models of mechanical parts and assemblies using Autodesk Inventor ... Create, interpret, and validate detailed engineering drawings in accordance with ASME Y14.5 (or ...

$175K - $285K/yr

Will consider remote in the United States. Will consider remote in the United States. The role ... Partner with hardware design, compiler, inference server, kernel, and product teams to validate ...

Develop, optimize, and evaluate prompts to improve AI model performance. * Conduct rubric-based ... Perform independent research and fact-checking to validate technical information. * Annotate data ...

Develop, optimize, and evaluate prompts to improve AI model performance. * Conduct rubric-based ... Perform independent research and fact-checking to validate technical information. * Annotate data ...

Develop, optimize, and evaluate prompts to improve AI model performance. * Conduct rubric-based ... Perform independent research and fact-checking to validate technical information. * Annotate data ...

Develop, optimize, and evaluate prompts to improve AI model performance. * Conduct rubric-based ... Perform independent research and fact-checking to validate technical information. * Annotate data ...

Remote Job Overview We are seeking experienced AI Finance Domain Experts to contribute their ... checking to validate financial information. * Provide detailed feedback to improve AI model ...

Remote Job Overview We are seeking experienced AI Finance Domain Experts to contribute their ... checking to validate financial information. * Provide detailed feedback to improve AI model ...

AI Finance Expert - Remote

Palo Alto, CA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Finance Domain Experts to contribute their ... checking to validate financial information. * Provide detailed feedback to improve AI model ...

AI Finance Expert - Remote

San Jose, CA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Finance Domain Experts to contribute their ... checking to validate financial information. * Provide detailed feedback to improve AI model ...

Showing results 41-60

Model Validation Remote information

What is model validation in a remote job context?

Model validation, especially in a remote setting, involves evaluating and verifying the accuracy, performance, and reliability of statistical or machine learning models from a location outside of a traditional office. Professionals in this role typically assess whether models meet regulatory requirements, function as intended, and are free from biases or errors. Remote model validators use various tools and techniques to conduct tests, write reports, and communicate findings with stakeholders via digital platforms. This work is essential in sectors like finance, insurance, and tech, where robust models drive critical decisions. Successful remote model validation requires strong analytical skills, clear communication, and proficiency with data analysis tools.

What are the key skills and qualifications needed to thrive as a model validation remote?

To thrive as a Model Validation Remote, you need a strong background in quantitative disciplines such as mathematics, statistics, or finance, typically supported by a relevant degree. Proficiency with statistical software (like SAS, R, or Python), model risk management frameworks, and familiarity with regulatory guidelines (such as SR 11-7) are commonly required. Analytical thinking, attention to detail, and strong written communication are crucial soft skills in this role. These skills ensure accurate model assessments, regulatory compliance, and effective communication of complex findings to stakeholders.

What are some common challenges faced by professionals in remote model validation roles, and how can they be addressed?

Remote model validation professionals often encounter challenges such as maintaining clear communication with model developers and stakeholders, accessing secure data environments, and staying updated with evolving regulatory standards. To address these, it's important to leverage robust collaboration tools, schedule regular check-ins with cross-functional teams, and participate in ongoing training or knowledge-sharing sessions. Establishing clear documentation protocols and ensuring secure remote access to necessary data can also help maintain productivity and compliance.

What is the difference between Model Validation Remote vs Model Validation on-site?

AspectModel Validation RemoteModel Validation on-site
Work EnvironmentRemote, home-basedOn-site, office or client location
Required CredentialsSimilar certifications, e.g., CFA, FRM, or relatedSame as remote, often with additional in-person requirements
Industry UsageFinancial institutions, banks, asset managersSame industries, with in-person collaboration
Work FlexibilityHigh, flexible hours and locationLess flexible, fixed hours and location

Both remote and on-site model validation roles require similar credentials and industry knowledge. The main difference lies in the work environment and flexibility, with remote positions offering greater convenience and location independence, while on-site roles facilitate direct collaboration and immediate access to resources.

What are the most commonly searched types of Model Validation jobs in California?

The most popular types of Model Validation jobs in California are:

What are popular job titles related to Model Validation Remote jobs in California?

For Model Validation Remote jobs in California, the most frequently searched job titles are:

What job categories do people searching Model Validation Remote jobs in California look for?

The top searched job categories for Model Validation Remote jobs in California are:

What cities in California are hiring for Model Validation Remote jobs?

Cities in California with the most Model Validation Remote job openings:

Infographic showing various Model Validation Remote job openings in California as of September 2026, with employment types broken down into 2% As Needed, 81% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Autodesk Inventor Expert - Remote

San Francisco, CA • On-site, Remote

$30 - $120/hr

Full-time

Re-posted 18 hours ago


Job description

Job Title: Autodesk Inventor Specialist

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Autodesk Inventor Specialists to contribute their expertise to an innovative project at the intersection of mechanical engineering and emerging AI technology. In this role, you will help improve next-generation AI systems by creating, reviewing, and refining mechanical CAD models and technical documentation. No prior AI experience is required—your engineering and CAD expertise are what matter most.

Key Responsibilities
  • Develop fully parametric 3D CAD models of mechanical parts and assemblies using Autodesk Inventor (or comparable CAD platforms) based on detailed design requirements.

  • Modify and update existing CAD models while maintaining parametric integrity and industry best practices.

  • Review and audit CAD models for dimensional accuracy, GD&T compliance, manufacturability, and design quality.

  • Create, interpret, and validate detailed engineering drawings in accordance with ASME Y14.5 (or equivalent) GD&T standards.

  • Apply Design for Manufacturability (DFM) principles across manufacturing processes including injection molding, sheet metal fabrication, CNC machining, and casting.

  • Support AI model development by documenting design decisions, engineering rationale, model revisions, and audit findings.

  • Collaborate remotely with cross-functional teams and provide clear, technical feedback to improve engineering datasets and AI-generated outputs.

Required Skills
  • Autodesk Inventor.

  • Parametric 3D CAD modeling.

  • GD&T (ASME Y14.5).

  • Design for Manufacturability (DFM).

  • Technical drawing interpretation.

  • Assembly-level mechanical design.

  • Reverse engineering (Scan-to-CAD, Point Cloud-to-Model).

  • Manufacturing process knowledge (Injection Molding, Sheet Metal, CNC Machining, Casting).

  • CAD model auditing.

  • CAD automation and scripting (Python, iLogic, VBA, NX Open).

  • Technical documentation.

  • Strong written and verbal communication.

  • Excellent problem-solving skills.

  • High attention to detail.

Preferred Qualifications
  • Minimum 4 years of hands-on experience in parametric CAD modeling for edit-level tasks; 10+ years preferred for complex design and model creation.

  • Expert-level proficiency in Autodesk Inventor, with experience in comparable CAD platforms such as FreeCAD, SolidWorks, or Fusion 360 considered highly valuable.

  • Practical experience applying GD&T (ASME Y14.5 or equivalent) in production environments.

  • Proven Design for Manufacturability (DFM) experience across multiple manufacturing processes, including injection molding, sheet metal, CNC machining, and casting.

  • Experience with reverse engineering workflows such as Scan-to-CAD and Point Cloud-to-Model reconstruction.

  • Ability to design and manage complex assemblies and mechanical systems.

  • Experience with CAD automation, scripting, or API development using Python, iLogic, VBA, NX Open, or similar technologies.