2

Remote Fitness Model Jobs (NOW HIRING)

Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 ... Lead database development, data pipeline, integration, ETL, modeling, and data architecture using ...

This customer-centric service model includes on-site monitoring of lubricants, coolants, and other ... This is a remote position based in any of the listed states. Role requires professional driving ...

We continually publish cutting-edge research that informs our risk models, alerts, and analysis ... We're a Series B company with around 75 employees, operating remote-first with a home base in New ...

We continually publish cutting-edge research that informs our risk models, alerts, and analysis ... We're a Series B company with around 75 employees, operating remote-first with a home base in New ...

... fitness for purpose. We do this by harmonizing our clients' technology. We've worked with some of ... This is a full-time, remote position based in the US. Primary Duties and Responsibilities * Lead ...

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

Fitness Reimbursement - up to $15/month for gym memberships * Inclusive workplace through a strong ... models Essential Duties & Responsibilities Research, analyze, support, and implement machine ...

Headquartered in Burlington, MA, with additional office locations and hybrid and remote workers in ... health, emergency services, fitness, and other high-growth professions. You will apply ...

next page

Showing results 1-20

Remote Fitness Model information

See salary details

$19.5K

$47.4K

$66.5K

How much do remote fitness model jobs pay per year?

As of Jul 13, 2026, the average yearly pay for remote fitness model in the United States is $47,392.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,500.00 and $51,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Fitness Model, and why are they important?

To thrive as a Remote Fitness Model, you need a well-maintained physique, knowledge of fitness and nutrition, and experience with modeling or fitness instruction. Familiarity with digital content creation tools, social media platforms, and high-quality video equipment is essential. Strong communication, self-motivation, and the ability to engage audiences virtually make someone stand out in this position. These skills allow Remote Fitness Models to effectively promote brands, connect with audiences, and build a successful online presence in a competitive industry.

What is the difference between Remote Fitness Model vs Remote Personal Trainer?

AspectRemote Fitness ModelRemote Personal Trainer
CredentialsTypically no formal certification required, but fitness influencer or brand ambassador experience preferredCertified personal trainer certification (e.g., NASM, ACE, ISSA)
Work EnvironmentCreates content, promotes products, and engages audiences onlineProvides personalized training plans and coaching via video calls or online platforms
Employer & Industry UsageUsed by fitness brands, influencers, and marketing agenciesEmployed by gyms, fitness companies, or as independent contractors

While both roles involve fitness content creation and online engagement, Remote Fitness Models focus on brand promotion and content, often without formal certifications. In contrast, Remote Personal Trainers provide personalized coaching and typically hold recognized certifications. Understanding these differences helps you choose the role that aligns with your skills and career goals.

What is a remote fitness model?

A remote fitness model is a professional who represents fitness brands, apparel, or products by participating in photoshoots, video shoots, or live streams from their own location rather than traveling to a studio. They often work with photographers, videographers, or brands virtually and may be responsible for setting up their own filming environment. Remote fitness models need to maintain their physical appearance, follow brand guidelines, and possess good communication skills to collaborate effectively with clients online. This role has become more popular due to the rise of digital marketing and remote work opportunities.

How do remote fitness models typically collaborate with photographers and brands during virtual shoots?

Remote fitness models often work closely with photographers and brands via video conferencing platforms or guided self-shoots. Clear communication is essential—models may receive detailed shot lists, posing instructions, and wardrobe guidelines in advance. During virtual sessions, photographers might direct the model in real time, or provide feedback on images or videos taken independently. This collaborative process requires adaptability, strong self-direction, and comfort with technology to ensure high-quality results that meet the client's vision.
More about Remote Fitness Model jobs
What cities are hiring for Remote Fitness Model jobs? Cities with the most Remote Fitness Model job openings:
What are the most commonly searched types of Fitness Model jobs? The most popular types of Fitness Model jobs are:
What states have the most Remote Fitness Model jobs? States with the most job openings for Remote Fitness Model jobs include:
Infographic showing various Remote Fitness Model job openings in the United States as of July 2026, with employment types broken down into 60% Full Time, 20% Part Time, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $47,392 per year, or $22.8 per hour.

Gauntlet - Quantitative Software Engineer

De Circle

New York, NY • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Re-posted 20 days ago


Job description

Gauntlet leads the field in quantitative research and optimization of DeFi economics. We manage market risk, optimize growth, and ensure economic safety for protocols facilitating most spot trading, borrowing, and lending activity across all of DeFi, protecting and optimizing the largest protocols and networks in the industry. We build institutional-grade vaults for decentralized finance, delivering risk-adjusted onchain yields for capital at scale. Designed by the most vigilant, quantitative minds in crypto and informed by years of research. As of April 2025, Gauntlet manages risk and incentives covering over $42 billion in customer TVL.
Gauntlet continually publishes cutting-edge research that informs our risk models, alerts, and analysis, and is among the most cited institution - including academic institutions - in terms of peer-reviewed papers addressing DeFi as a subject. We're a Series B company with around 75 employees, operating remote-first with a home base in New York City.
Our mission is to drive adoption and understanding in the financial systems of the future. The unique challenges of decentralized systems call for innovative approaches in mechanism design, smart contract development, and financial product utilization. Gauntlet leads in advancing this knowledge, ensuring safe progression through the evolving landscape of financial innovation.
We are seeking highly skilled and motivated Quantitative Software Engineers to join our team. The ideal candidate possesses strong statistical and engineering skills, a passion for problem-solving, and the ability to work effectively in a fast-paced and collaborative environment.
Responsibilities:
  • Designing and implementing strategies for managing risk and optimizing DeFi protocols using quantitative models, simulations, and machine learning.
  • Develop tools and engines for parameter recommendations and drive impact to protocols.
  • Own the whole lifecycle of protocol integrations, including building data pipelines, working closely with cross-functional teams to define the data requirements and product offering.
  • Architect and refine data models and structures to support the evolving needs of DeFi analytics, simulations, methodologies and research development.
  • Contribute to making our core modeling platform world-class.
  • Maintain up-to-date knowledge of the latest industry trends, technologies, and techniques in software engineering.
  • Optimize Aera guardian logic to improve risk-adjusted yields, trade execution quality, and capital efficiency of strategies such as Protocol-Owned Liquidity for Aera Vaults.
  • Collaborate with other cross-functional teams, including internal and external teams
  • Stay current with the latest industry trends, market risk vectors, and market conditions to ensure that Aera strategies stay on the cutting edge of crypto and DeFi innovation.

Bonus Points:
  • Contribute to the forefront of DeFi economic understanding and optimization.
  • Work on projects that value deep research, quality, and practical outcomes.
  • Collaborate with a team committed to defining future financial systems.
  • Master's or Ph.D. in Quantitative fields like Mathematics, Economics, Computer Science, Physics, or similar fields is a plus.

Benefits and Perks
  • Remote first - work from anywhere in the US & CAN!
  • Competitive packages with the added opportunity for incentive-based compensation
  • Regular in-person company retreats and cross-country "office visit" perk
  • 100% paid medical, dental and vision premiums for employees
  • Laptop provided
  • $1,000 WFH stipend upon joining
  • $100 per month reimbursement for fitness-related expenses
  • Monthly reimbursement for home internet, phone, and cellular data
  • Unlimited vacation policy
  • 100% paid parental leave of 12 weeks
  • Fertility benefits

Qualifications
  • Minimum 4 years of direct hands-on experience trading or analyzing financial markets (crypto or traditional) professionally.
  • Experience developing statistical or quantitative models for financial markets.
  • Understanding of blockchain and DeFi protocols, concepts, and best practices (or a strong desire to learn).
  • Proficient at writing code in Python and SQL with a solid understanding of software engineering principles.
  • Knowledge of workflow orchestration (e.g., Dagster, Airflow) and distributed data processing technologies (Spark).
  • Excellent understanding of statistical modeling, machine learning, and optimization algorithms.
  • Experience with scientific computing packages such as Numpy/Scipy, Pandas, etc.
  • Ability to quickly internalize abstract concepts in new domains, coupled with strong problem-solving skills and attention to detail.
  • Ability to work independently and within a team, manage multiple projects, and meet deadlines.
  • Strong communication skills and the ability to work collaboratively in a distributed team environment.