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Part Time Machine Learning Researcher Jobs in Boston, MA

Part-Time Lecturer

Boston, MA · On-site

$2.2K - $2.8K/wk

... is seeking part-time instructors. We are seeking motivated individuals who are committed to ... global research university and a world leader in experiential learning. The same commitment to ...

Part-Time Lecturer

Boston, MA · On-site

$2.2K - $2.8K/wk

... is seeking part-time instructors. We are seeking motivated individuals who are committed to ... global research university and a world leader in experiential learning. The same commitment to ...

Service Associate

Westborough, MA · On-site

$16 - $20/hr

Westborough MA, Boston Ski and Tennis is hiring part-time service teammates for the upcoming season ... best machines * Learning and mastering ski binding adjustments, leveraging training from our ...

... research university and the recognized leader in experience-driven lifelong learning. Our world ... Northeastern University's College of Professional Studies invites applicants for a part-time ...

The R&D Intern is responsible for laboratory activities related to filtration technologies and ... Ability to commit to full-time work over the summer and part-time availability during the academic ...

New

R&D Intern

Westborough, MA · On-site

$30 - $34/hr

The R&D Intern is responsible for laboratory activities related to filtration technologies and ... Ability to commit to full-time work over the summer and part-time availability during the academic ...

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Showing results 1-20

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 Jul 15, 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.

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.

How much do ML research scientists make?

Machine Learning research scientists typically earn between $90,000 and $150,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in deep learning or AI tools can earn higher salaries, especially in tech hubs or large organizations.

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.

Is computer science dead due to AI?

The role of a Part Time Machine Learning Researcher involves developing and applying AI algorithms, which indicates that computer science remains a vital and evolving field. AI advances create new opportunities for research, requiring skills in programming, data analysis, and understanding of algorithms, rather than replacing the entire discipline.

What is the salary of remote AI researcher?

The salary of a remote AI researcher varies depending on experience, education, and location, but typically ranges from $80,000 to $150,000 annually. Part-time roles may offer proportionally lower pay, often calculated hourly or project-based, with some positions paying around $25 to $75 per hour. Skills in machine learning frameworks and programming languages like Python can influence compensation levels.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning researcher or AI director, often offering top-tier compensation due to expertise, experience, and the strategic importance of AI projects. These roles usually require advanced skills in machine learning, deep learning, and data science, along with significant industry experience and sometimes advanced degrees or certifications.
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:
Infographic showing various Part Time Machine Learning Researcher job openings in Boston, MA as of July 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.
Temporary Micro-Credential Grader - JSD- Microcredential Grader-AI Fundamentals for STEM Professiona

Temporary Micro-Credential Grader - JSD- Microcredential Grader-AI Fundamentals for STEM Professiona

Brandeis University

Waltham, MA • On-site

$25 - $30/hr

Part-time

Re-posted 17 days ago


Job description

Position: Micro-Credential Grader-AI Fundamentals for STEM Professionals
Location: Fully remote (U.S.-based applicants only, no visa sponsorships)
Division: Rabb School of Continuing Studies, Brandeis University
Type: Part-Time, 4 months, varying hours, no more than 25 hours per week
Compensation: Hourly $25-$30
Reports to: Assistant Dean of Education and Learning Innovation
Brandeis University's Rabb School of Continuing Studies is seeking a detail-oriented STEM professional to serve as a Micro-Credential Grader for the online asynchronous credential, AI Fundamentals for STEM Professionals.
In this fully remote, short-term hourly position, you'll evaluate learner submissions that demonstrate mastery of AI concepts through a real-world STEM challenge and a complete 5-step workflow design. This project-based credential equips professionals with foundational skills in supervised learning, data preprocessing, model selection, and ethical AI deployment. As a grader, you'll apply structured rubrics to assess technical accuracy, conceptual depth, and responsible innovation.
This role offers a unique opportunity to contribute to a high-impact, workforce-aligned credential that bridges STEM expertise with emerging AI capabilities.
What You Will Do:
  • Evaluate learner submissions of the AI Workflow Project, which include a real-world STEM challenge, an AI-powered solution, and a complete 5-step workflow design.
  • Apply structured rubrics to assess mastery of skills such as supervised learning, data preprocessing, model selection, and interpretability.
  • Participate in calibration exercises with fellow graders (if needed) to ensure consistency in evaluating technical artifacts and conceptual reasoning.
  • Maintain confidentiality and objectivity throughout the grading process

What You Bring:
  • Bachelor's degree required; Master's degree preferred in Computer Science, Data Science, Engineering, or related STEM disciplines.
  • Subject-matter expertise in foundational AI concepts, including machine learning, data analysis, and ethical considerations in AI deployment.
  • Experience in academic assessment, workforce development, or digital learning preferred.
  • Familiarity with learning management systems (Moodle preferred), online credentialing platforms, and collaborative grading workflows.
  • Professional, learner-centered approach with a commitment to academic integrity and continuous improvement. Proficient in rubric-based assessment and competency validation, especially for technical and project-based submissions.
  • Strong attention to detail and ability to maintain consistency across diverse submissions.
  • Excellent written communication skills for delivering constructive, learner-focused feedback.
  • Comfortable working in asynchronous learning environments and using digital platforms.
  • Adaptability in managing multiple grading tasks within deadlines.

Pay Range Disclosure
The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.
Equal Opportunity Statement
Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").