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Part Time Machine Learning Researcher Jobs in Boston, MA

Magna

Student - Engineering Software

Lowell, MA · On-site

Relevant research / project experience in one or more of the following areas: Simulation, multi-object tracking; sensor fusion; machine learning; mapping & localization; motion planning; controls ...

DataAnnotation

Quality Assurance Engineer

Boston, MA · Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

DataAnnotation

Frontend Engineer

Boston, MA · Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

DataAnnotation

QA Engineer - AI Trainer

Lynn, MA · Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

DataAnnotation

Frontend Software Engineer

Cambridge, MA · Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

DataAnnotation

Full Stack Software Engineer

Lowell, MA · Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

DataAnnotation

Software Engineer Analyst

Quincy, MA · Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

DataAnnotation

Backend Software Engineer

Lowell, MA · Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

DataAnnotation

Quality Assurance Engineer

Cambridge, MA · Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

DataAnnotation

Senior Software Engineer

Quincy, MA · Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

DataAnnotation

DevOps Engineer

Brockton, MA · Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

DataAnnotation

DevOps Engineer

Lowell, MA · Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

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All JobsPart Time Machine Learning Researcher JobsPart Time Machine Learning Researcher Jobs in Boston, MA

Part Time Machine Learning Researcher information

See Boston, MA salary details

$32.6K

$122.9K

$178.7K

How much do part time machine learning researcher jobs pay per year?

As of May 28, 2026, the average yearly pay for part time machine learning researcher in Boston, MA is $122,874.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,800.00 and $167,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Part Time Machine Learning Researcher, and why are they important?

To thrive as a Part Time Machine Learning Researcher, you need a solid background in mathematics, statistics, and programming, often demonstrated through academic coursework or relevant research experience. Familiarity with programming languages like Python or R, machine learning libraries (e.g., TensorFlow, PyTorch), and version control systems such as Git is typically required. Strong analytical thinking, curiosity, and effective communication skills help in interpreting data and collaborating with research teams. These competencies enable researchers to design, implement, and present innovative solutions to complex problems in machine learning.

How do part-time machine learning researchers typically balance independent work with collaboration within their research teams?

Part-time machine learning researchers often have flexible schedules, which means they need to be proactive in communicating with their teams and managing project timelines. While much of the research work can be done independently—such as data analysis, model development, and literature review—regular meetings and updates are essential to stay aligned with the team's goals. Many teams use collaborative platforms and version control systems to facilitate seamless contributions from part-time members. Clear documentation and open communication help ensure that part-time researchers can effectively integrate their work with the broader project and contribute meaningfully despite reduced hours.

What does a Part Time Machine Learning Researcher do?

A Part Time Machine Learning Researcher typically works on developing, testing, and improving machine learning models and algorithms, often as part of a research team or academic project. Their responsibilities may include data analysis, implementing machine learning techniques, conducting literature reviews, and contributing to research publications or presentations. Since the role is part-time, they usually work flexible hours and may balance these duties with other commitments such as studies or a different job. The position is ideal for students, professionals seeking experience, or those who wish to contribute to research while managing other responsibilities.

What is the difference between Part Time Machine Learning Researcher vs Data Scientist?

AspectPart Time Machine Learning ResearcherData Scientist
CredentialsTypically requires a master's or PhD in computer science, data science, or related fieldsOften requires a bachelor's or master's in data science, statistics, or related areas
Work EnvironmentResearch-focused, often in academic or R&D settings, with emphasis on developing new algorithmsBusiness-focused, working with large datasets to generate insights and support decision-making
Industry UsageCommon in research institutions, universities, and R&D departmentsWidely used across industries like finance, healthcare, tech, and marketing

While both roles involve working with machine learning, a Part Time Machine Learning Researcher primarily focuses on developing new algorithms and research, often in academic or research settings. In contrast, a Data Scientist applies machine learning techniques to analyze data and solve business problems. The roles share similar credentials but differ in work environment and industry application.

What are popular job titles related to Part Time Machine Learning Researcher jobs in Boston, MA? For Part Time Machine Learning Researcher jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Part Time Machine Learning Researcher jobs in Boston, MA look for? The top searched job categories for Part Time Machine Learning Researcher jobs in Boston, MA are:
Part Time Machine Learning Researcher jobs near you
Infographic showing various Part Time Machine Learning Researcher job openings in Boston, MA as of May 2026, with employment types broken down into 4% Internship, 13% Full Time, and 83% Part Time. Highlights an 87% In-person, and 13% Hybrid job distribution, with an average salary of $122,874 per year, or $59.1 per hour.
Part-Time Lecturer MGEN (Boston)

Part-Time Lecturer MGEN (Boston)

NorthEastern

Boston, MA

$2.63K/wk

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Job description

About the Opportunity

About the Opportunity

The Multidisciplinary Graduate Engineering (MGEN) unit, within the College of Engineering, invites applications for the Adjunct Faculty position for teaching selected graduate courses for the multidisciplinary masters degree programs in Boston, Massachusetts.

The MGEN unit seeks to produce more effective software engineers who are substantially more capable than ever of addressing the needs of digital society in terms of time, cost, and quality. The unit will accomplish this by revolutionizing the way software is designed and evolved overtime, and believe software is a systems engineering challenge rather than a coding problem. See website for details of programs:http://www.coe.neu.edu/graduate-school/multidisciplinary

Responsibilities:

Teach selected graduate courses within the multidisciplinary masters degree programs. See website for details of programs:http://www.coe.neu.edu/graduate-school/multidisciplinary

Responsibilities include preparation of lectures, course materials, examinations, and evaluation of student performance in the course.

The multidisciplinary masters suite of degree programs in Boston include:

MS in Information Systems focuses on the intersection of cutting-edge technology and business complexity with an emphasis on the art and science of designing intricate software applications especially in the areas of healthcare, security and privacy, auditing and compliance, business improvement and intelligence, as well as financial accountability. Courses include application engineering and development, engineering big-data systems, and engineering secure software systems.

MS in Information Systems Bridge is focused for students with non-STEM, non-technical bachelor's degrees that are the knowledge link between business users and technologists by understanding the complexities of both. Students' undergraduate work in the humanities provides them with a unique perspective and approach in developing systems via a socio-technical lens. Students take courses specifically designed to bridge their current professional pursuits with the background and industry knowledge needed to advance in the IT sector. As industries launch into a digitized future, professionals with a clear understanding of how technology can be used to address large societal challenges are in demand.

The MS in Data Architecture and Management is designed to prepare students for this evolving and growing field, by providing students the holistic knowledge and technical skills to engineer big data systems, curate data, and integrate and process data so that data scientists and business analysts can access and interpret data in context to provide meaningful results to management.

The MS in Software Engineering Systems approaches software development from the analytical and methodological perspective of an engineer. Students build advanced design and engineering skills, enhance their knowledge in cloud computing, and develop machine learning algorithms. With a passion for high-performance technology, large-scale machine learning, and AI-type algorithms, students become intuitive problem solvers, experienced engineer architects, and results-focused leaders. Their knowledge at the three-way intersection of computer science, engineering, and ethics enables them to have real-world societal impact in high-demand fields across industries.

Qualifications:

M.S. or Ph.D. in relevant engineering discipline is required; some professional and/or teaching experience preferred. Must have strong, effective verbal skills to communicate well with students.

Position Type

Academic

Additional Information

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by the law.

Position Type

Academic

Additional Information

Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.

Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.

Pay Range:

The per credit rate is $2,625

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