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Remote Eye Model Jobs in Boston, MA (NOW HIRING)

Beacon Biosignals

Senior Algorithm Engineer

Boston, MA · On-site +1

$170K - $190K/yr

... learning models that analyze brain and biosignal data for advancing sleep, neurological, and ... This is a fully remote role based anywhere in the U.S. What success looks like * Participate in and ...

Beacon Biosignals

Algorithm Engineer

Boston, MA · On-site +1

$150K - $170K/yr

... learning models that analyze brain and biosignal data for advancing sleep, neurological, and ... Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we ...

Beacon Biosignals

Principal Data Engineer

Boston, MA · On-site +1

$190K - $210K/yr

It defines our foundational data model and serves as the centralized repository and API for brain ... This role is fully remote working anywhere in the US. What success looks like * You partner with ...

Beacon Biosignals

Senior Algorithm Engineer

Boston, MA · On-site +1

$170K - $190K/yr

... learning models that analyze brain and biosignal data for advancing sleep, neurological, and ... This is a fully remote role based anywhere in the U.S. What success looks like * Participate in and ...

Beacon Biosignals

Algorithm Engineer

Boston, MA · On-site +1

$150K - $170K/yr

... learning models that analyze brain and biosignal data for advancing sleep, neurological, and ... Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we ...

Leidos

Transmission Line Engineer

Framingham, MA · On-site +1

$73K - $132K/yr

South Region (Hybrid & Remote options available) The Opportunity Join a premier team solving the ... Apply advanced modeling (PLS-TOWER, LPILE, FAD) to solve site-specific challenges, from complex ...

Traackr

Software Engineer

Boston, MA · Remote

$90K - $120K/yr

We are a remote-first company, and for the folks that like to meet in person, we have offices in ... Help design and evolve distributed systems (services, pipelines, and data stores) with an eye ...

Traackr

Software Engineer

Boston, MA · On-site +1

$90K - $120K/yr

We are a remote-first company, and for the folks that like to meet in person, we have offices in ... Help design and evolve distributed systems (services, pipelines, and data stores) with an eye ...

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All JobsEye Model JobsRemote Eye Model JobsRemote Eye Model Jobs in Boston, MA

Remote Eye Model information

See Boston, MA salary details

$10

$49

$154

How much do remote eye model jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for remote eye model in Boston, MA is $49.66, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $78.37 per hour, depending on experience, location, and employer.

What is a remote eye model?

Remote eye models are individuals who model their eyes for photography or video shoots, often for advertising, medical, or beauty industries, while working from a location separate from the client or production team. This role typically involves close-up shots of the eyes for products like contact lenses, makeup, or medical demonstrations. Remote eye models may need to have high-quality cameras, good lighting, and the ability to follow specific posing or shooting instructions provided virtually by clients. The job can be performed from home, making it accessible to people globally as long as they meet the technical and appearance requirements. Payment and job arrangements are usually managed online through agencies or freelance platforms.

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

To excel as a Remote Eye Model, you need clear eye health, photogenic features, and experience in modeling or related fields, often supported by a strong portfolio. Familiarity with high-resolution cameras, virtual meeting tools, and remote collaboration platforms is typically required. Professionalism, reliability, and the ability to take direction well are important soft skills for success in this field. These skills and qualities ensure you can consistently deliver the desired visual results for clients in a remote setting.

What are the main challenges of working as a remote eye model, and how can I prepare for them?

One of the main challenges of working as a remote eye model is ensuring you have the proper lighting, camera quality, and setup to capture high-resolution, detailed images or videos of your eyes as required by clients. You’ll often need to follow specific instructions for angles, expressions, and makeup, so attention to detail and the ability to interpret directions remotely are essential. Building a professional portfolio, investing in quality equipment, and maintaining consistent communication with clients or agencies will help you stand out and succeed in this niche modeling role.

What is the difference between Remote Eye Model vs Remote Optometric Assistant?

AspectRemote Eye ModelRemote Optometric Assistant
Required CredentialsOptical or vision-related certifications, sometimes a degree in optometry or vision scienceCertification in optometric assisting or related training
Work EnvironmentRemote, often from home, supporting eye care professionalsRemote or clinic-based, assisting with patient management and administrative tasks
Industry UsageUsed by eye care clinics, telehealth services, and vision specialistsCommonly employed in optometry practices and eye clinics

The Remote Eye Model primarily focuses on providing remote support related to eye health, often involving specialized knowledge in vision care. In contrast, the Remote Optometric Assistant handles administrative and patient coordination tasks within optometry practices. Both roles are remote and industry-specific but differ in their core responsibilities and required credentials.

How do you become a remote eye model?

To become a remote eye model, you typically need to have clear, healthy eyes and good lighting conditions for photography. Many companies look for individuals who can provide high-quality images or videos of their eyes and may require a simple application process or portfolio submission. Familiarity with basic photography or willingness to follow specific instructions is also helpful.

How much do remote eye models get paid?

Remote eye models typically earn between $15 and $50 per hour, depending on the complexity of the project and the model's experience. Compensation can also include flat rates for specific tasks or sessions, and models may need to provide high-quality images or videos remotely using their own equipment.

What are popular job titles related to Remote Eye Model jobs in Boston, MA?

For Remote Eye Model jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Remote Eye Model jobs in Boston, MA look for?

The top searched job categories for Remote Eye Model jobs in Boston, MA are:

Remote Eye Model jobs near you
Infographic showing various Remote Eye Model job openings in Boston, MA as of August 2026, with employment types broken down into 74% Full Time, 18% Part Time, and 8% Temporary. Highlights an 100% Remote job distribution, with an average salary of $103,301 per year, or $49.7 per hour.

Senior Algorithm Engineer

Beacon Biosignals

Boston, MA • On-site, Remote

$170K - $190K/yr

Full-time

PTO

Re-posted 23 days ago

Key responsibilities

  • Participate in and lead the entire biosignal-based algorithm development lifecycle, including specifications, data curation, development, failure-analysis, production, maintenance, and documentation.

  • Select, implement, and develop appropriate methods for each problem, applying deep learning techniques or other methods as needed.

  • Enhance internal machine learning tools, introduce new model architectures, and refine the codebase to enable rapid experimentation and improve team efficiency.

Job description

Beacon Biosignals is seeking a Senior Algorithm and Machine Learning engineer! 

As part of Beacon's analytics and machine learning domain, you'll work alongside fellow data scientists, neuroscientists, engineers, and clinicians to scope, build, deploy, and maintain the machine and deep learning models that analyze brain and biosignal data for advancing sleep, neurological, and psychiatric therapy development.

At Beacon, we've found that cultural and scientific impact is driven most by those who lead by example. As such, we're always seeking out new contributors whose work demonstrates innate curiosity, a bias toward simplicity, an eye for composability, a self-service mindset, and-most of all-a deep empathy toward colleagues, stakeholders, users, and patients. We believe a diverse team builds more robust systems and achieves higher impact.

Beacon's work practices ensure a first-class remote work experience, but we also have in-person office hubs in Boston, New York City and Paris. This is a fully remote role based anywhere in the U.S.

What success looks like

  • Participate in and lead the entire biosignal-based algorithm development lifecycle for medical devices including specifications and requirements gathering, data curation and labeling, development, failure-analysis, production, maintenance, and documentation.
  • Select, implement, and develop the most appropriate method for each problem, knowing when to apply deep learning techniques and when other methods are more effective.
  • Enhance our internal deep learning and machine learning tools to boost team efficiency, introduce new model architectures and algorithmic techniques, and refine the codebase to encourage reusability where needed to enable rapid experimentation.
  • Spread and improve our best practices to ensure algorithm implementations are user-friendly, well-documented, and thoroughly tested, including unit tests, comprehensive documentation, CI, and non-regression testing.
  • Present results to key stakeholders and assist them in utilizing algorithms for client engagement.
  • Support the client-facing projects to understand and shape the impact Beacon algorithms have for our customers, both for existing deployed algorithms, and future algorithm development.

What you will bring

  • You have more than 5 years of industry experience in machine learning and deep learning, particularly in health sciences or other regulated fields, with a proven track record of bringing algorithms into production.
  • You are experienced with digital signal processing (DSP) and statistics and care about using the right tool for the job, which in many cases might not be machine learning or deep learning.
  • You are proficient in using PyTorch (preferred) or other deep learning frameworks for training, developing, and deploying deep learning models.
  • You are proficient with latest Deep Learning advances (Transformer/ViT, large scale modeling, large model training, ...)
  • You follow and spread best practices in software and ML engineering, including testing, version control, code reviews, documentation, Dockerization, CI/CD, and experiment tracking.
  • You are experienced with biosignals, medical imaging data, or large time-series datasets,  or are enthusiastic about learning more in the domain.
  • You thrive in a team environment, recognizing that collaboration, open communication, and continuous feedback are essential for collective success.
  • You are able to distill, discuss, and present complex technical topics in a way that is appropriate for the audience at hand, both internally and externally.
  • You are excited to participate in the entire algorithm development lifecycle, which spans scoping, data wrangling, algorithm development/experimentation, formal validation, quality/regulatory documentation, production deployment, and working with clients who might benefit from these algorithms.

The US-based salary range for this role is $170,000 - $190,000. Salary ranges are determined using current market compensation data for this role and adjusted based on experience, skills, and location. The base salary is one component of the total compensation package, which includes equity, PTO and other benefits.

At Beacon, we've found that cultural and scientific impact is driven most by those that lead by example. As such, we're always seeking new contributors whose work demonstrates an avid curiosity, a bias towards simplicity, an eye for composability, a self-service mindset, and - most of all - a deep empathy towards colleagues, stakeholders, users, and patients. We believe a diverse team builds more robust systems and achieves higher impact.

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