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Model Validation Remote Jobs in Arizona (NOW HIRING)

SolidWorks Expert - Remote

Phoenix, AZ ยท Remote

$40 - $130/hr

... model training. * Translate engineering requirements into structured CAD data suitable for AI learning and validation. * Collaborate remotely with cross-functional teams, providing clear written ...

Contractor Location: Remote micro1 is engaging Bioinformatics Scientists to contribute their ... AI models. * Curate, annotate, and validate datasets relevant to drug discovery and molecular ...

Contractor Location: Remote micro1 is engaging Bioinformatics Scientists to contribute their ... AI models. * Curate, annotate, and validate datasets relevant to drug discovery and molecular ...

Contractor Location: Remote micro1 is engaging Bioinformatics Scientists to contribute their ... AI models. * Curate, annotate, and validate datasets relevant to drug discovery and molecular ...

Analyze and validate clinical trial data. * Review and interpret Statistical Analysis Plans (SAPs ... Survival analysis, mixed models, covariate adjustment * Multiplicity control & ICH E9(R1)

Senior Traffic Engineer

Phoenix, AZ ยท On-site +1

$100K - $151K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... Type: Full-Time Remote Employment: Flexible/Hybrid Job Number: PR04891-1 Division: Capital ... Model, validate, and evaluate proposed signal timing and coordination improvements using signal ...

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... Collaborate asynchronously with other experts to validate findings and share perspectives on ...

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... Collaborate asynchronously with other experts to validate findings and share perspectives on ...

Cheminformatics Specialist - Remote

Peoria, AZ ยท On-site +1

$90 - $120/hr

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... Collaborate asynchronously with other experts to validate findings and share perspectives on ...

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Model Validation Remote information

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

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

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

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

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

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

SolidWorks Expert - Remote

YO AI Labs

Phoenix, AZ โ€ข Remote

$40 - $130/hr

Full-time

Posted 4 days ago


Job description

Job Title: SolidWorks Specialist

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced SolidWorks 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
  • Create fully parametric 3D CAD models of mechanical parts and assemblies using SolidWorks based on detailed design requirements.

  • Edit and update existing parametric CAD models while maintaining robust feature trees, design intent, and model integrity.

  • Review and audit CAD models for dimensional accuracy, tolerance application, manufacturability, and overall design quality.

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

  • Develop and maintain clear engineering documentation to support design revisions and AI model training.

  • Translate engineering requirements into structured CAD data suitable for AI learning and validation.

  • Collaborate remotely with cross-functional teams, providing clear written reports, technical documentation, and verbal updates.

Required Skills
  • SolidWorks.

  • Parametric CAD modeling.

  • GD&T (ASME Y14.5).

  • Design for Manufacturability (DFM).

  • Mechanical design.

  • Injection molding.

  • Sheet metal design.

  • CNC machining.

  • Casting and forging.

  • Assembly modeling.

  • CAD editing and feature tree management.

  • Design documentation.

  • Reverse engineering (Scan-to-CAD).

  • Manufacturability analysis.

  • Python, iLogic, and VBA scripting.

  • Tolerance application.

  • Project documentation.

  • Strong written and verbal communication.

  • Excellent problem-solving skills and attention to detail.

Preferred Qualifications
  • 4+ years of hands-on parametric CAD experience for editing tasks and 10+ years for creating complex assemblies.

  • Expert proficiency in SolidWorks, with experience in Autodesk Inventor, Fusion 360, or FreeCAD considered an advantage.

  • Practical experience applying GD&T in accordance with ASME Y14.5 or equivalent standards.

  • Proven experience supporting multiple manufacturing processes, including injection molding, sheet metal fabrication, CNC machining, casting, and forging.

  • Current experience in mechanical or industrial CAD modeling.

  • Reverse engineering expertise, including Scan-to-CAD and point cloud conversion workflows.

  • Experience with assembly-level design and CAD workflow automation using Python, iLogic, VBA, or similar scripting tools.

  • Excellent written and verbal communication skills with strong technical documentation abilities.

Why Join Us?
  • Fully remote contractor opportunity.

  • Flexible work schedule.

  • Opportunity to contribute to cutting-edge AI technology using your mechanical engineering expertise.

  • Collaborate with multidisciplinary engineering and AI teams on innovative technical projects.

  • No prior AI experience required—training and project guidance will be provided.