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

IQVIA

Senior Data Team Lead (Remote)

San Francisco, CA · Remote

$86K - $217K/yr

... models. Apply now and have your resume considered for Senior Data Team Lead opportunities across ... best-fit project and client environment for your experience and interests! IQVIA is seeking ...

IQVIA

Senior Data Team Lead (Remote)

San Francisco, CA · Remote

$86K - $217K/yr

... models. Apply now and have your resume considered for Senior Data Team Lead opportunities across ... best-fit project and client environment for your experience and interests! IQVIA is seeking ...

IQVIA

Senior Data Team Lead (Remote)

Oakland, CA · Remote

$86K - $217K/yr

... models. Apply now and have your resume considered for Senior Data Team Lead opportunities across ... best-fit project and client environment for your experience and interests! IQVIA is seeking ...

IQVIA

Senior Data Team Lead (Remote)

Oakland, CA · Remote

$86K - $217K/yr

... models. Apply now and have your resume considered for Senior Data Team Lead opportunities across ... best-fit project and client environment for your experience and interests! IQVIA is seeking ...

Descript

Strategic Finance, GTM

San Francisco, CA · On-site +1

$170K - $240K/yr

You will own GTM and growth models, partner closely with Sales, Marketing, Growth, and Data teams ... We're hiring for a mix of remote roles and hybrid roles. For those who are remote, we have a ...

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Remote Fit Model information

See San Ramon, CA salary details

$11

$35

$74

How much do remote fit model jobs pay per hour?

As of Jul 24, 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 are the key skills and qualifications needed to thrive as a Remote Fit Model, and why are they important?

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.

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.

How do Remote Fit Models 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.
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Remote Fit Model jobs near you
Machine Learning Engineer

Machine Learning Engineer

Swish Analytics

San Francisco, CA • On-site, Remote

$160K/yr

Full-time

Posted 6 days ago

Job description

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and enterprise clients.
The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch. They can assist with optimizing the different aspects of the modeling process (Data Validation, Data Visualization, Data Stores & Structures, Feature Engineering, Model Training & Evaluation, Deployments) and improving a variety of Swish products. They will know when to "roll your own" and when to outsource a particular step in the modeling process. They will engineer custom solutions to solve complex data-related sports challenges across multiple leagues.
This position is 100% remote
Responsibilities:
  • Design, prototype, implement, evaluate, optimize systems to generate sports datasets and predictions with high accuracy and low latency.
  • Evaluate internal modeling frameworks and tools to optimize data scientist's modeling workflow.
  • Build, test, deploy and maintain production systems.
  • Work closely with DevOps and Data Engineering teams to assist with implementation, optimization and scale workloads on Kubernetes using CI/CD, automation tools and scripting languages.
  • Support maintenance and optimization of cloud-native EDW and ETL solutions.
  • Maintain and promote best practices for software development, including deployment process, documentation, and coding standards.
  • Experience applying large scale data processing techniques to develop scalable and innovative sports betting products.
  • Use extensive experience to build, test, debug, and deploy production-grade components.
  • Experience applying large scale data processing techniques to develop scalable and innovative sports betting products.
  • Participate in development of database structures that fit into the overall architecture of Swish systems

Qualifications:
  • Masters degree in Computer Science, Applied Mathematics, Data Science, Computational Physics/Chemistry or related technical subject area
  • 5+ years of demonstrated experience developing and delivering clean and efficient production code to serve business needs
  • A proven background in quantitative analytics, trading, or engineering is required for this position
  • Demonstrated experience developing data science modeling systems and infrastructure at scale
  • Experience with Python and exposure to modern machine learning frameworks
  • Proficient in SQL; experience with MySQL
  • Background and/or interest in Rust preferred
  • Affinity for teamwork and collaboration with others to solve problems, share knowledge, and provide feedback
  • Strong communication skills when discussing technical concepts with technical and non-technical colleagues

Base salary: starting at $160,000 base plus bonus potential
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Engineering & Infrastructure Role Data Science Infrastructure Locations San Francisco, CA - Remote Remote status Fully Remote

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