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Remote Fit Model Jobs in San Ramon, CA (NOW HIRING)

Ascent Placement Partners

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Remote Software Engineer - Technical Advisor

San Francisco, CA · Remote

$150/hr

Typical work includes: * Auditing model-generated pull requests against real production ... fit. Step 2: Coding Assessment (Unpaid) A ~90-minute Code Signal assessment, completed in one ...

Job Mobz

Account Executive

San Francisco, CA · On-site +1

... Fit If You: * Have 2-4 years of experience in SaaS sales (or B2B sales with a SaaS model) * Are ... Remote * All your information will be kept confidential according to EEO guidelines.

Job Mobz

Account Executive

San Francisco, CA · Remote

... Fit If You: * Have 2-4 years of experience in SaaS sales (or B2B sales with a SaaS model) * Are ... Remote * All your information will be kept confidential according to EEO guidelines.

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How much do remote fit model jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for remote fit model in San Ramon, CA is $35.05, according to ZipRecruiter salary data. Most workers in this role earn between $21.20 and $43.80 per hour, depending on experience, location, and employer.

What is a remote fit model?

A Remote Fit Model is a person who collaborates with clothing designers and brands to virtually test the fit, comfort, and appearance of garments from their own location, rather than in a traditional studio setting. Using video calls, photos, and detailed measurements, remote fit models provide feedback on how clothing fits their body type, helping brands adjust patterns and sizing for mass production. This job requires strong communication skills, reliability, and strict adherence to measurement standards. Remote fit modeling allows brands to work with a diverse range of models and adapt quickly to market demands, especially when in-person sessions are not possible.

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

To thrive as a Remote Fit Model, you need specific body measurements that match sample sizes, experience in modeling or garment fitting, and a good understanding of garment construction and fit. Familiarity with video conferencing tools, digital measurement systems, and the ability to provide clear feedback on garments are typically required. Strong communication skills, professionalism, and attention to detail help you effectively convey fit issues and work with design teams remotely. These skills ensure accurate fit assessments and efficient collaboration, enabling brands to create well-fitting products while working with remote teams.

How does a remote fit model typically collaborate with designers and technical teams during the product development process?

Remote Fit Models work closely with designers, technical designers, and product developers through virtual fittings and feedback sessions. Using video conferencing tools, they try on garments, demonstrate fit, and communicate detailed observations about comfort, movement, and sizing. Clear communication skills are essential, as their feedback directly influences pattern adjustments and final product decisions. Successful remote collaboration often involves timely responses to requests and the ability to provide precise, constructive feedback even without in-person interaction.

What job categories do people searching Remote Fit Model jobs in San Ramon, CA look for?

The top searched job categories for Remote Fit Model jobs in San Ramon, CA are:

What cities near San Ramon, CA are hiring for Remote Fit Model jobs?

Cities near San Ramon, CA with the most Remote Fit Model job openings:

Remote Fit Model jobs near you

Modeling Engineer/Scientist (Contract-to-Hire) (Remote)

South San Francisco, CA • Remote

Fulcrum Neuroscience, Inc.
See more jobs at Fulcrum Neuroscience, Inc.external

Full-time, Contractor

Posted 24 days ago

Job description

About Fulcrum

Fulcrum Neuroscience is a biotech startup developing new therapeutic approaches to Alzheimer's disease and other neurodegenerative conditions. At the heart of Fulcrum's approach is a unique computational platform: the Brain Health and Neurodegeneration (BHN) world model, reconciling over 1,800 literature and data sources, and an underlying AI-enabled, digital twin computational engine. This platform enables Fulcrum scientists to explore target and therapeutic alternatives, identify biomarker patterns, and design lab and clinical experiments.

The BHN model is an explicit, mechanistic, causal representation of brain homeostasis and neurodegeneration grounded in mass balance, energy flow, and feedback loops, and built to interpret experimental and clinical data rather than merely fit it. It functions as a structured, evolving repository of biological knowledge, enabling simulation of disease progression, digital twin inference, and population-level insight.

The Role

Reporting to the Chief Technology Officer, you will help expand and deepen the BHN model and continue to develop the AI-driven platform that builds it. This is a hands-on modeling role at the intersection of computational biology, systems engineering, and applied AI a bridge between the science and the engineering.

Your work will include:

  • Extending the depth and breadth of the BHN model, including expansion into additional neurodegenerative diseases.
  • Developing and refining ODE-based mechanistic models of biological processes, from equations and level of abstraction through to integrated modules.
  • Using the BHN model to analyze target opportunities, support therapeutic development and optimization, and design experiments for the lab and for clinical trials.
  • Collaborate with software developers in the AI-driven workflows and tooling that accelerate model development and analysis, including chat and visualization interfaces, to enable modelers and scientists to interact with BHN.
  • Creating clear annotations and documentation of model and software architecture and code.

This is an opportunity to work with pioneers in biological modeling and quantitative systems pharmacology (QSP) to make an impact on the treatment of neurodegenerative disease while working at the leading edge of modeling techniques and technology infused with AI.

The ideal candidate would be based in the San Francisco Bay Area and able to travel to the company's office in South San Francisco, CA one day per week. Remote candidates should be willing to travel to South San Francisco, CA every 1-2 months.

Qualifications

Required

  • Advanced degree (PhD, or MS with relevant experience) in systems biology, biomedical or chemical engineering, computational biology, applied mathematics, or a related quantitative discipline. Open to candidates coming directly from a PhD or postdoc.
  • Demonstrated experience developing ODE-based models of complex nonlinear systems.
  • Hands-on experience using AI tools to support model development and analysis.
  • Strong scientific communication skills and the ability to work across the scienceengineering boundary.

Highly Desired

  • Demonstrated experience developing ODE-based biological models.
  • Familiarity with Bayesian inference, management of structural and parametric uncertainty and variability, in complex dynamic models.
  • Experience with AI-assisted coding (vibe coding) and skill development for agentic workflows.
  • Experience with Mathematica.
  • Experience working in a pharma or biotech organization.
  • Familiarity with neurodegeneration, aging biology, or brain physiology.

What We Offer

  • The chance to shape a first-of-its-kind mechanistic, causal model of brain health at an early-stage company.
  • Co-authorship on publications emerging from your contributions.
  • Meaningful early-stage equity and contract rate commensurate with experience.

This is a full-time, contract-to-hire role: we intend it as a path to full-time employment.

Direct applicants only, please. We are not working with staffing agencies or third-party recruiters for this contract opportunity and are not accepting agency-submitted candidates.