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Remote Machine Learning Jobs in Quincy, MA (NOW HIRING)

YO AI Labs

C++ Software Developer - Remote

Boston, MA · Remote

$100 - $250/hr

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

New

YO AI Labs

C++ Software Developer - Remote

Boston, MA · Remote

$100 - $250/hr

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

New

Beacon Biosignals

Algorithm Engineer

Boston, MA · On-site +1

$150K - $170K/yr

As part of Beacon's analytics and machine learning domain, you'll work alongside fellow data ... Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we ...

YO AI Labs

AI Data Scientist - Remote

Boston, MA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

YO AI Labs

AI Data Scientist - Remote

Boston, MA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

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All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Quincy, MA

Remote Machine Learning information

See Quincy, MA salary details

$26.8K

$44.8K

$92.5K

How much do remote machine learning jobs pay per year?

As of Sep 15, 2026, the average yearly pay for remote machine learning in Quincy, MA is $44,775.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,200.00 and $48,400.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

More about Remote Machine Learning jobs

What are the most commonly searched types of Machine Learning jobs in Quincy, MA?

The most popular types of Machine Learning jobs in Quincy, MA are:

What job categories do people searching Remote Machine Learning jobs in Quincy, MA look for?

The top searched job categories for Remote Machine Learning jobs in Quincy, MA are:

What cities near Quincy, MA are hiring for Remote Machine Learning jobs?

Cities near Quincy, MA with the most Remote Machine Learning job openings:

Infographic showing various Remote Machine Learning job openings in Quincy, MA as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 29% Part Time, 1% Temporary, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $44,775 per year, or $21.5 per hour.

C++ Software Developer - Remote

Boston, MA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$100 - $250/hr

Full-time

Posted 3 days ago

New

Job description

Job Title: Senior Software Engineer

Job Type: Contract

Location: Remote

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

We are seeking strong Software Engineers to join our customer's team with expertise in Python3, Java, Rust, Go, C++, or TypeScript. This is a unique opportunity to directly impact the next generation of AI by leveraging your advanced engineering skills in a dynamic, remote setting.

Required Skills and Qualifications:

  • Proficiency in Python3, Java, Rust, or TypeScript, with additional experience in C++ or Go considered a strong asset.
  • Deep understanding of algorithms, data structures, and performance tuning.
  • Demonstrated experience in debugging complex software issues and delivering maintainable solutions.
  • Strong background in feature development and codebase refactoring.
  • Proven ability to optimize software for performance and scalability.
  • Exceptional written and verbal communication skills, with a keen attention to detail.
  • Track record of success in collaborative, cross-functional teams, ideally in remote settings.


Preferred Qualifications:

  • Previous experience working on large-scale, distributed codebases.
  • Familiarity with modern AI or machine learning systems is a plus, though not required.
  • Background in participating in rigorous code reviews and contributing to the development of software best practices.