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Remote Math Jobs in Oakville, ON (NOW HIRING)

Senior ML Engineer

Toronto, ON · Remote

$180K - $240K/yr

... this is a fully remote role for US/Canada based candidates. Salary range: 180-240K USD plus ... ML, Mathematics, or closely related field with ML coursework (Mandatory) Why you should join

Bachelor's or Master's degree in Statistics, Mathematics, Economics, Data Science, or a related ... Flexible work model (hybrid/remote options). * Learning budget, health benefits, and team culture ...

This position is remote and open to candidates located in British Columbia or Ontario. While this ... Bachelor's or Master's degree in Computer Science, Software Engineering, Mathematics, Statistics ...

... Mathematics, or similar quantitative field * Experience with more than one company size or business ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

Forecast math * CRM hygiene * Operational cadence That's Revenue & Ops. You own direction ... At least one vertical-specific launch initiative live Benefits Fully Remote Work Work from ...

Forecast math * CRM hygiene * Operational cadence That's Revenue & Ops. You own direction ... At least one vertical-specific launch initiative live Benefits Fully Remote Work Work from ...

Showing results 21-40

Remote Math information

See Oakville, ON salary details

$9

$26

$60

How much do remote math jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for remote math in Oakville, ON is $26.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.43 and $31.81 per hour, depending on experience, location, and employer.

What are the qualifications to get a remote math job?

The qualifications that you need to get a remote math job include advanced knowledge of mathematics and a postsecondary degree in a relevant field. Remote math teachers need at least a bachelor’s degree in math or education to teach at the elementary or secondary school level. States may also require a teaching license. Community college math instructors must have at least a master’s degree, while university-level professors need a doctorate and advanced credentials to teach online math courses. Math tutors may have a college degree, or they may be studying math at the college or graduate level. Employers may test tutors without a degree before starting employment. Along with educational requirements, remote math jobs require strong communication, technical, and time management skills, as well as a reliable internet and phone connection.

What are the key skills and qualifications needed to thrive as a remote math teacher, and why are they important?

To thrive as a Remote Math Teacher, you need a solid background in mathematics, a teaching credential or degree, and experience with curriculum planning. Familiarity with virtual classroom platforms (like Zoom or Google Classroom), online assessment tools, and digital whiteboards is typically required. Excellent communication, adaptability, and strong organizational skills help engage students and manage remote learning challenges. These skills and qualifications are crucial for delivering effective math instruction and maintaining student engagement in an online environment.

How does a remote math educator effectively collaborate with students and colleagues in a virtual environment?

As a remote math educator, collaboration is primarily facilitated through digital platforms such as video conferencing, shared documents, and virtual whiteboards. Regular communication with students often involves scheduled online classes, one-on-one tutoring sessions, and prompt feedback on assignments. Collaborating with colleagues may include participating in virtual team meetings, co-developing lesson plans, and sharing teaching resources digitally. Building strong relationships and maintaining clear, consistent communication are key to overcoming the challenges of remote interaction and ensuring student engagement and success.

What is the difference between Remote Math vs Remote Data Analyst?

AspectRemote MathRemote Data Analyst
Required CredentialsMathematics degree, quantitative skillsStatistics, data analysis certifications, degree in related field
Work EnvironmentRemote, often independent or team-based projectsRemote, collaborative with data teams and stakeholders
Industry UsageEducation, research, finance, techBusiness, marketing, finance, healthcare
Common Search/ComparisonRemote MathRemote Data Analyst

Remote Math professionals focus on mathematical problem-solving, research, and theoretical work, often in academic or research settings. Remote Data Analysts interpret data to inform business decisions, requiring skills in statistics and data visualization. While both roles are remote and involve data, Remote Math emphasizes mathematical theory, whereas Remote Data Analysts focus on practical data insights for organizations.

What are the most commonly searched types of Math jobs in Oakville, ON?

The most popular types of Math jobs in Oakville, ON are:

What are popular job titles related to Remote Math jobs in Oakville, ON?

For Remote Math jobs in Oakville, ON, the most frequently searched job titles are:

What job categories do people searching Remote Math jobs in Oakville, ON look for?

The top searched job categories for Remote Math jobs in Oakville, ON are:

What cities near Oakville, ON are hiring for Remote Math jobs?

Cities near Oakville, ON with the most Remote Math job openings:

Infographic showing various Remote Math job openings in Oakville, ON as of August 2026, with employment types broken down into 55% Full Time, 36% Part Time, 1% Temporary, and 8% Contract. Highlights an 100% Remote job distribution, with an average salary of $55,124 per year, or $26.5 per hour.

Senior ML Engineer

Career Renew

Toronto, ON • Remote

$180K - $240K/yr

Full-time

Medical, PTO

Re-posted 7 days ago


Job description

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 180-240K USD plus benefits plus equity.
 
Since 2017, we’ve been on a mission to use AI to resolve as many conversations as possible while elevating human agents to do what they are uniquely good at.
 

We are looking for a Senior Machine Learning Engineer with 5+ years of experience to join our small but mighty ML team building production-grade AI voice agents used by enterprise customers like AAA and Fanatics. You're an applied AI engineer who thrives in startup environments, writes clean Python, and can ship LLM-powered systems that handle real, high-stakes conversations at scale — not just run experiments.


What will you be doing?

  • Leading the exploration and application of Large Language Models and Generative AI, venturing into new areas within these fields 

  • Translating the latest research into high-performing systems and models that can be practically applied to enhance user experiences 

  • Help set the team's strategic direction, cultivating an environment that encourages innovation and professional growth

  • Actively engaging in all aspects of development, from ideation and experimentation to implementation and deployment

  • Collaborating with various teams and product managers to develop and implement ML based solutions, ensuring performance optimization and alignment with broader business goals

 
Requirements:
 
5 - 10 years of experience in applied ML engineering, building production systems in Python with LLMs or NLP (Mandatory)
Experience building production systems in Python (Mandatory)
Familiarity with low-latency production ML systems (Mandatory)
Experience working at a high-growth startup (Mandatory)
Background in NLU, NLP, or conversational AI (Nice-to-have)
BS/MS/PhD in CS, ML, Mathematics, or closely related field with ML coursework (Mandatory)
 
Why you should join
  • Industry leader in Voice AI for customer service since 2017 — powering enterprise customers like AAA and Fanatics where 50%+ of callers get fully resolved by the bot with higher satisfaction scores than human agents.
  • $113M raised from top-tier investors including Stripes, Salesforce Ventures and Norwest — Series B closed in 2022 at $78M with strong backing from day one.
  • Work on genuinely cutting-edge AI problems — low latency inference, hallucination reduction, prompt injection guardrails and dynamic conversation design at the frontier of what's possible with LLMs today.
  • Small team means real ownership and real impact — every improvement you ship moves the needle for enterprise customers in high-stakes scenarios (think: someone stranded on the road calling AAA).
  • Remote-first with strong perks — flexible vacation, paid sabbatical after 5 years, comprehensive health benefits, wellness stipend and a tech/learning stipend for conferences, books and courses. Competitive salary ($180K–$230K) plus meaningful equity.