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Remote Labeling Jobs in Massachusetts (NOW HIRING)

Beacon Biosignals

Senior Algorithm Engineer

Boston, MA

$170K - $190K/yr

This is a fully remote role based anywhere in the U.S. What success looks like * Participate in and ... data curation and labeling, development, failure-analysis, production, maintenance, and ...

Jade Biosciences

... labeling, and product distribution, ensuring alignment with GMP requirements and Jade quality ... This is a fully remote role, preferably based on the U.S. West Coast, with occasional domestic and ...

Beacon Biosignals

Algorithm Engineer

Boston, MA

$150K - $170K/yr

Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we ... data curation and labeling, development, failure-analysis, production, maintenance, and ...

Autodesk

Senior Manager, Data Security

Boston, MA · On-site +1

$124K - $170K/yr

This role is remote-friendly within North America. For those who prefer in-office or hybrid work ... labeling approaches * Experience designing and operating DLP controls across endpoints, network ...

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Remote Labeling information

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How much do remote labeling jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for remote labeling in Massachusetts is $15.25, according to ZipRecruiter salary data. Most workers in this role earn between $13.65 and $16.78 per hour, depending on experience, location, and employer.

What is remote labeling?

A Remote Labeling job involves annotating or tagging data, such as images, text, audio, or video, to help train AI models. Labelers follow specific guidelines to categorize data accurately, ensuring machine learning algorithms can recognize patterns. These jobs are typically performed from home using specialized software. Common industries include artificial intelligence, autonomous vehicles, healthcare, and e-commerce. No advanced technical skills are usually required, but attention to detail and consistency are essential.

What does a typical workday look like for someone in remote labeling?

A typical day in a Remote Labeling role involves reviewing and accurately tagging or annotating various data types, such as images, videos, or text, according to specific guidelines and project requirements. You’ll often interact with cloud-based labeling platforms, complete tasks or batches assigned by a project manager, and submit your work for quality review. Communication with supervisors or team members generally happens via email or team messaging platforms. The work is usually self-paced but deadline-driven, giving you flexibility as long as project goals are met. Successful Remote Labeling professionals stay organized and proactive to manage task volumes and maintain high standards of quality.

What are the key skills and qualifications needed to thrive in remote labeling, and why are they important?

To excel in a Remote Labeling role, you should have strong attention to detail, basic computer literacy, and the ability to follow detailed instructions accurately. Familiarity with labeling platforms, data annotation tools, and sometimes knowledge of specific data types (e.g., images, audio, or text) is highly beneficial. Strong time management, communication, and self-motivation are important soft skills for maintaining productivity when working independently. These skills ensure data integrity, meet quality standards, and support effective remote collaboration in a deadline-driven environment.

What are the most commonly searched types of Labeling jobs in Massachusetts?

The most popular types of Labeling jobs in Massachusetts are:

What are popular job titles related to Remote Labeling jobs in Massachusetts?

For Remote Labeling jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Remote Labeling jobs in Massachusetts look for?

The top searched job categories for Remote Labeling jobs in Massachusetts are:

What cities in Massachusetts are hiring for Remote Labeling jobs?

Cities in Massachusetts with the most Remote Labeling job openings:

Remote Labeling jobs near you
Infographic showing various Remote Labeling job openings in Massachusetts as of August 2026, with employment types broken down into 2% Internship, 64% Full Time, 22% Part Time, and 12% Contract. Highlights an 100% Remote job distribution, with an average salary of $31,729 per year, or $15.3 per hour.

Senior Algorithm Engineer

Beacon Biosignals

Boston, MA

$170K - $190K/yr

Full-time

PTO

Re-posted 20 days ago

Job description

Beacon Biosignals is transforming precision medicine for the brain, from clinical development to clinical care. For Life Sciences partners, we offer the leading at-home EEG platform for clinical development of novel therapeutics for neurological, psychiatric, and sleep disorders. Our Diagnostics business is building the most comprehensive at-home platform for precision diagnostics, combining EEG and cardiopulmonary signals to deliver reimbursable assessments for sleep and central nervous system disorders. Together, we're changing the way patients are diagnosed and treated for any disorder that affects brain physiology.
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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