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Machine Learning Part Time Jobs in Massachusetts

TripleTen

$152K/yr

We're looking for the person who brings an AI and Machine Learning curriculum to life for students: hosts the live sessions, reviews the work, runs the model and system review boards, and sets the ...

New

NorthEastern

Part-Time Lecturer MGEN (Boston)

Boston, MA · On-site

$2.6K/wk

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 ...

ERG

Research Analyst

Concord, MA · On-site

$28 - $35/hr

Using AI and machine learning across various types of projects * Conducting technical literature ... for part-time) and more. The salary range for all positions depends on the years and type of ...

ERG

Research Analyst

Concord, MA

$28 - $35/hr

Using AI and machine learning across various types of projects * Conducting technical literature ... for part-time) and more. The salary range for all positions depends on the years and type of ...

New

ERG

Research Analyst

Concord, MA

$28 - $35/hr

Using AI and machine learning across various types of projects * Conducting technical literature ... for part-time) and more. The salary range for all positions depends on the years and type of ...

Boston Ski + Tennis

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 ...

FocusKPI Inc.

Data Scientist (MMM)

Boston, MA · On-site

$90K/yr

The data science team at FocusKPI builds models and machine learning algorithms that power all our ... Remote - anywhere in the US Duration: Full-time/Part-time position Pay Range: $90k+/annum ...

TripleTen

You can join us on a part-time basis , contributing as an instructor leading live sessions and ... Strong expertise in Software Engineering, AI Engineering, Machine Learning, or Data Science

C10 Labs

AI Fellow

Cambridge, MA · On-site

$53K - $72K/yr

Studio Employment Type: Part Time Location: Cambridge Description C10 Labs is an AI-focused venture ... machine learning models and algorithms. * Knowledge of cloud platforms (e.g., AWS, Google Cloud ...

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All JobsMachine Learning JobsMachine Learning Part Time JobsMachine Learning Part Time Jobs in Massachusetts

Machine Learning Part Time information

See Massachusetts salary details

$27.8K

$46.5K

$96.1K

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

As of Aug 3, 2026, the average yearly pay for machine learning part time in Massachusetts is $46,507.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,500.00 and $50,200.00 per year, depending on experience, location, and employer.

What is a Machine Learning Part Time job?

A Machine Learning Part Time job is a role where individuals work on ML-related tasks with a flexible or reduced schedule. These roles can involve data preprocessing, model development, evaluation, or deployment, depending on the organization's needs. Part-time positions are often suitable for students, freelancers, or professionals looking to gain experience while managing other commitments. They may be remote or on-site and can vary in duration and workload.

What are the key skills and qualifications needed to thrive in the Machine Learning Part Time position, and why are they important?

To thrive as a Machine Learning Part Time professional, you need a strong foundation in statistics, programming (often Python or R), and knowledge of core machine learning algorithms, typically demonstrated through a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, Scikit-learn, or PyTorch and experience with data preprocessing tools or cloud platforms are commonly expected, and certifications like TensorFlow Developer can be beneficial. Effective communication, time management, and the ability to work independently are key soft skills for success in this role. These competencies enable you to efficiently contribute to projects, solve complex problems, and collaborate remotely or in hybrid team environments.

What are the typical responsibilities and expectations for a part-time machine learning role?

In a part-time machine learning position, you are generally expected to assist with data preprocessing, model development, and analysis of project results under the guidance of a senior data scientist or engineer. Your tasks might include cleaning datasets, coding algorithms, running experiments, and preparing reports or presentations for team meetings. The work is often project-based and requires regular communication with team members to ensure alignment on objectives and deliverables. This structure allows you to gain hands-on experience with real-world datasets and industry tools while maintaining a flexible schedule, making it ideal for students or professionals transitioning into the field.

What are the most commonly searched types of Machine Learning jobs in Massachusetts? The most popular types of Machine Learning jobs in Massachusetts are:
What are popular job titles related to Machine Learning Part Time jobs in Massachusetts? For Machine Learning Part Time jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Machine Learning Part Time jobs in Massachusetts look for? The top searched job categories for Machine Learning Part Time jobs in Massachusetts are:
What cities in Massachusetts are hiring for Machine Learning Part Time jobs? Cities in Massachusetts with the most Machine Learning Part Time job openings:
Machine Learning Part Time jobs near you
Infographic showing various Machine Learning Part Time job openings in Massachusetts as of July 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $46,507 per year, or $22.4 per hour.

AI & Machine Learning Teaching Expert (Part-time)

TripleTen

On-site, Remote

$152K/yr

Part-time

Posted 3 days ago

New

Job description

Description
TripleTen is an EdTech company that designs and runs tech career learning programs for the US and Latin American markets. We've been doing it for over five years, teaching complete beginners - people with no prior tech background - through cohort-based programs built on our own platform and curriculum, developed in partnership with Nebius AI. Our team is fully remote and globally distributed, and we serve a large, active student base across both regions.
We're looking for the person who brings an AI and Machine Learning curriculum to life for students: hosts the live sessions, reviews the work, runs the model and system review boards, and sets the technical bar for the people supporting alongside them. The curriculum is built by a team of senior authors.
This is a teaching and reviewing role. You'll be the senior technical presence students learn from week to week. You'll run live sessions and office hours, give real engineering feedback on student ML deliverables, and act as the escalation point for a team of supporting instructors who handle first-line questions. The best person for this is someone who has actually built and shipped AI systems in production, has opinions about what a sound ML system looks like, and can tell an experienced engineer why their approach is wrong.
Your audience: An experienced developer or engineer - SWE, data engineer, data analyst, DevOps/SRE, or quant - who wants to move into an adjacent AI/ML role (MLE, AI engineer, MLOps, data scientist) and carry their existing experience across, not start over.
Format: Live sessions, office hours, 1:1s, and workshops timed around US Eastern Time - mostly 2:00 PM to 9:00 PM ET. Estimated 10 to 15 hrs/week.
Please submit all resumes or CVs in English.
What you will do
  • Host live sessions focused on the design of ML systems: agentic architectures, orchestration, evaluation, and reliability of LLM-based systems.
  • Run group office hours, 1:1 sessions and tech mock interviews for students working through projects.
  • Review student projects against rubrics.
  • Set the technical standard for a team of supporting instructors who cover questions and first-line review, and act as their escalation point.

Requirements
  • 7+ years of professional ML engineering experience, currently working at senior level or above (Senior/Lead/Staff ML Engineer, AI Engineer, or ML/AI Systems Architect).
  • Has built and shipped AI or ML systems that ran in production in a real company, not just notebooks or side projects.
  • Depth across the AI engineering spine: agentic systems (L3, LangChain/CrewAI/ADK frameworks, orchestration, self-correction), agent reliability and guardrails, MCP; LLM evals (eval harness, LLM-as-judge, hallucination metrics), applied fine-tuning (SFT/LoRA); AI coding tools in the SDLC, LLM observability, A/B experiment design.
  • Can explain why a modeling or architecture decision was made, not just how it was implemented, and can diagnose and critique someone else's work live.
  • Strong technical communication: comfortable leading a live session and writing clear, specific review feedback.
  • Strong English C1+ - instruction and review are in English for a US-based audience.
  • Comfortable using AI tools in day-to-day technical work.

Preferred experience:
  • Has taught, mentored, or run technical sessions before: internal tech talks, onboarding, mentoring engineers, bootcamp or workshop instruction.
  • Production experience with agentic frameworks (LangChain, CrewAI, ADK) and MCP-based tool integrations.
  • Hands-on ownership of an eval or observability stack in production, not just usage.
  • Work experience at a recognizable company.
  • Familiarity with online education platforms or running programs.

What we can offer you
  • Fully remote work, with live sessions scheduled within US afternoon and evening hours.
  • A digital office: we use modern tools (Notion, Slack, Zoom) to keep collaboration smooth.
  • Professional trust and autonomy: no micromanaging.
  • A diverse, international, close-knit team excited to work with you!

Apply