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Weekend Artificial Intelligence Machine Learning Jobs in Boston, MA

XPO

Director, Artificial Intelligence - Hybrid

Boston, MA · Hybrid

$189K - $237K/yr

Strong technical background and deep understanding of Machine Learning with practical experience in ... About the Director, Artificial Intelligence job: Pay, Benefits and more: * Competitive compensation ...

MORSE Corp

Lead Data Scientist (TS/SCI)

Cambridge, MA · On-site

$90K - $210K/yr

Expertise in artificial intelligence, machine learning, and data science * Experience in algorithm development and testing * Excellent communication and presentation skills * Self-starter and driven

WilmerHale

Artificial Intelligence (AI) Engineer

Boston, MA · On-site

$105K - $144K/yr

About the Role The Artificial Intelligence Engineer is responsible for developing and implementing ... generative AI, machine learning, and deep learning techniques and identifies opportunities to ...

WilmerHale

Artificial Intelligence (AI) Engineer

Boston, MA · On-site

$105K - $145K/yr

About the Role The Artificial Intelligence Engineer is responsible for developing and implementing ... generative AI, machine learning, and deep learning techniques and identifies opportunities to ...

Neurable, INC

Machine Learning

Cambridge, MA · On-site

... artificial intelligence developed by our CEO Ramses Alcaide, BCI expert and PhD neuroscience ... We are currently looking for a Machine Learning Scientist/Researcher to join our team. We would ...

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Weekend Artificial Intelligence Machine Learning information

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$15

$28

$52

How much do weekend artificial intelligence machine learning jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for weekend artificial intelligence machine learning in Boston, MA is $28.62, according to ZipRecruiter salary data. Most workers in this role earn between $23.22 and $30.29 per hour, depending on experience, location, and employer.

What is the difference between Weekend Artificial Intelligence Machine Learning vs Data Scientist?

AspectWeekend Artificial Intelligence Machine LearningData Scientist
Required CredentialsRelevant certifications in AI/ML, programming skillsDegree in Data Science, Statistics, or related fields
Work EnvironmentPart-time, project-based, flexible hoursFull-time, office or remote, collaborative teams
Employer & Industry UsageTech companies, startups, research labsBusiness, finance, healthcare, tech sectors
Common Search & ComparisonOften compared for AI/ML roles with flexible schedulesBroader data analysis roles, often full-time

Weekend Artificial Intelligence Machine Learning roles focus on part-time, flexible projects requiring AI/ML skills and certifications, often in tech environments. Data Scientists typically work full-time in data analysis, requiring advanced degrees and broader industry applications. Both roles involve data handling but differ in work hours, environment, and career scope.

What are Weekend Artificial Intelligence Machine Learning jobs?

Weekend Artificial Intelligence Machine Learning jobs are positions that allow professionals to work specifically on weekends, focusing on tasks related to AI and machine learning. These roles can involve data analysis, model development, algorithm optimization, or supporting AI projects, often in a part-time or contract capacity. They are ideal for individuals seeking flexible work schedules or those wanting to gain experience in AI/ML outside of traditional weekday hours. Such positions are available in various industries, including tech, healthcare, finance, and more.

What are some common challenges faced by professionals working in a weekend Artificial Intelligence Machine Learning role?

Professionals in weekend AI/ML roles often face the challenge of balancing project deadlines with limited working hours, which requires strong time management and prioritization skills. Collaboration can also be more complex, as team members may work on different schedules, making clear communication and documentation especially important. Additionally, staying updated with rapidly evolving AI/ML tools and frameworks can be demanding, so dedicating time for continuous learning is essential. Despite these challenges, weekend roles can offer flexibility and the opportunity to work on cutting-edge projects while accommodating other commitments.

What are the key skills and qualifications needed to thrive as a Weekend Artificial Intelligence Machine Learning Specialist, and why are they important?

To thrive as a Weekend Artificial Intelligence Machine Learning Specialist, you need a solid background in mathematics, statistics, and programming, typically with a degree in computer science or a related field. Experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of data processing tools and cloud platforms, are often required along with relevant certifications. Strong problem-solving abilities, time management, and effective communication skills help professionals excel during limited weekend hours. These competencies ensure that complex AI/ML tasks are efficiently addressed and projects move forward even within a condensed work schedule.
What are the most commonly searched types of Artificial Intelligence Machine Learning jobs in Boston, MA? The most popular types of Artificial Intelligence Machine Learning jobs in Boston, MA are:
What are popular job titles related to Weekend Artificial Intelligence Machine Learning jobs in Boston, MA? For Weekend Artificial Intelligence Machine Learning jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Weekend Artificial Intelligence Machine Learning jobs in Boston, MA look for? The top searched job categories for Weekend Artificial Intelligence Machine Learning jobs in Boston, MA are:
Weekend Artificial Intelligence Machine Learning jobs near you
Infographic showing various Weekend Artificial Intelligence Machine Learning job openings in Boston, MA as of July 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $59,539 per year, or $28.6 per hour.
Artificial Intelligence and Machine Learning Engineer

Artificial Intelligence and Machine Learning Engineer

Cumberland Farms

Westborough, MA • On-site

$118K - $141K/yr

Full-time

Medical, Dental, Retirement, PTO

Re-posted 17 days ago

Cumberland Farms rating

4.8

Company rating: 4.8 out of 10

Based on 178 frontline employees who took The Breakroom Quiz

36th of 48 rated convenience stores

Job description

Description:
Are you curious about solving complex business challenges for a leading convenience retailer? Do you have a passion for cross functional collaboration? Then you may be the perfect addition to our team!
Cumberland Farms is one of the fastest-growing convenience retailers in the United States, committed to becoming America's #1 'one-stop' destination. The business has an established pedigree of delivering excellent fuel, grocery and merchandise, and food service. Headquartered in Westborough, Massachusetts, our Company has grown to over 1,500+ locations across the United States employing over 18,000 team members. You can find us operating under the following store banners: Certified Oil, Cumberland Farms, Fastrac, Kwik Shop, Loaf N Jug, Minit Mart, Sprint Food Stores, Tom Thumb, Turkey Hill, and Quik Stop. Our US headquarters in Westborough, MA is home to our Store Support Center, Company Warehouse, and Culinary Center.
What We Offer:
  • Competitive Wages
  • Work today, get paid tomorrow through our earned wage access program*
  • Paid Time Off
  • Medical/Health/Dental Coverage
  • 401K with Company Match
  • Team Member Discounts
  • Tuition Reimbursement
  • Employee Assistance Program
  • Health Savings Account
  • Company Spirit Days
  • Employee recognition and awards
  • And much more!

Position Summary:
As an AI & ML Engineer, you'll design, deploy, and optimize machine learning systems that drive intelligent decision-making across the organization. You'll work at the intersection of data science, engineering, and product strategy-building models that are not only performant but also interpretable, scalable, and aligned with human oversight. This role is ideal for someone who thrives in a fast-moving environment and is passionate about shaping agentic, adaptive systems that balance automation with discernment.
Responsibilities:
1. Develop and deploy supervised and unsupervised models using Python, MLflow, and Databricks
2. Collaborate on experimentation strategies, including A/B testing and causal inference
3. Optimize model performance for latency, accuracy, and cost across cloud environments
4. Contribute to the design of human-in-the-loop workflows and explainable AI systems
5. Partner with data engineers to ensure robust data access and preprocessing
6. Document model assumptions, limitations, and decision boundaries for transparency
Working Relationships:
  • Data Scientists: Co-develop modeling strategies and validate performance metrics
  • Data Engineers: Align on feature pipelines, data access, and model deployment infrastructure
  • Product Managers: Translate business goals into ML use cases and success criteria
  • Analytics Leads: Ensure model outputs are interpretable and actionable for stakeholders
  • Governance & Ethics Teams: Collaborate on fairness, accountability, and risk mitigation

Requirements:
Minimum Education: High School or general equivalent
Minimum Experience: 3 years in data engineering or a closely related field
Preferred Experience: 5 years with hands on experience in Databricks or Spark based systems
Soft Skills:
  • Systems Thinking: Understands how models interact with broader workflows and user behavior
  • Curiosity & Rigor: Balances experimentation with disciplined evaluation and reproducibility
  • Communication: Explains complex modeling decisions to technical and non-technical audiences
  • Ethical Judgment: Recognizes when automation should be constrained or augmented by human input
  • Collaboration: Works fluidly across disciplines to co-create solutions that are both innovative and responsible

Other Requirements:
Travel: N/A
Hours & Conditions: Monday - Friday 8-hour day in office setting
Physical Requirements: Minimal physical effort required, sitting / standing at computer for long periods of time. Ability to maneuver and lift up to 10 lbs.
Additional Info:
At Cumberland Farms, it's important that our employees reflect the world we live in and the communities we serve. We celebrate our differences, so your unique background and skillset could bring a wonderful new perspective to our team. If you have a passion for delivering exceptional results, thrive in a fast-paced corporate environment, and bring experience in business management or related areas, we'd love to meet you - even if you don't meet every single requirement.
Consistent with Massachusetts Pay Transparency Law, we're sharing the base salary range for this position. Final pay within this range will be based on your skills, experience, and qualifications. Base pay represents just one part of our total rewards approach. We're proud to offer a variety of financial and non-financial benefits that invest in your overall growth, well-being, and career journey.

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