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Machine Learning Contract Jobs in Toronto, ON (NOW HIRING)

Contract Compensation: $50-$70/hour Location: Remote Commitment: 30-40 hours/week Role ... Curiosity about how raw infrastructure data becomes machine learning input. Application Process ...

Network Support Engineer

Toronto, ON · Remote

CA$50 - CA$70/hr

Contract Compensation: $50-$70/hour Location: Remote Commitment: 30-40 hours/week Role ... Curiosity about how raw infrastructure data becomes machine learning input. Application Process ...

NC Programmer - Contract Role

Woodbridge, ON · On-site

CA$75K - CA$82K/yr

... bending machines using customer-provided drawings or internal models. You'll support current ... Tuition Reimbursement, Learning and Career Development opportunities * Employee Assistance Program

Mississauga ON On site- 5 days a week 12 month renewable contract 45$-65$hr depending on experience ... algorithms, machine learning, data clustering and fault classification techniques within a ...

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Machine Learning Contract information

See Toronto, ON salary details

$21K

$107.9K

$199.5K

How much do machine learning contract jobs pay per year?

As of Jun 11, 2026, the average yearly pay for machine learning contract in Toronto, ON is $107,911.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,351.00 and $146,968.00 per year, depending on experience, location, and employer.

What is a Machine Learning Contract job?

A Machine Learning Contract job is a temporary or project-based role where professionals develop and implement machine learning models for a company. Contractors may work on tasks such as data preprocessing, model training, evaluation, and deployment. These roles are often remote or short-term, allowing companies to hire expertise for specific projects without long-term commitments.

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

To thrive as a Machine Learning Contract professional, you need a solid background in programming (Python, R), data analysis, and machine learning algorithms, usually supported by a relevant degree in computer science or a related field. Familiarity with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn, as well as experience with cloud platforms like AWS or Azure, is typically required. Strong problem-solving abilities, time management, and effective communication are standout soft skills in contract-based roles. These competencies are crucial for efficiently delivering project-based solutions, collaborating with clients, and staying adaptable to varied organizational needs.

What are the typical responsibilities and workflow for a Machine Learning Contract position?

As a Machine Learning Contract professional, you’ll often be brought in to design, build, and deploy machine learning models tailored to a client’s specific challenges, ranging from data preprocessing and exploratory analysis to model selection and performance tuning. You may also be responsible for documenting your work, presenting results to stakeholders, and advising on best practices for model integration. Contract positions frequently involve collaborating remotely with cross-functional teams and meeting project milestones within set timelines. This role is ideal for those who enjoy variety, autonomy, and leveraging their expertise across different industries and datasets.

What are the most commonly searched types of Machine Learning jobs in Toronto, ON? The most popular types of Machine Learning jobs in Toronto, ON are:

Senior Network Engineer | Upto $70/hr

Mercor

Toronto, ON • Remote

CA$70/hr

Full-time

Posted 12 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Network Engineer - Data for Autonomous Systems annotation
Type: Contract
Compensation: $50–$70/hour
Location: Remote
Commitment: 30–40 hours/week

Role Responsibilities

  • Review real-world data from deployed networks, including logs, configs, telemetry, and event streams.
  • Label and classify key behaviors, issues, and anomalies in network data.
  • Help define schemas and structure for large-scale data pipelines.
  • Interface directly with the client team to ensure data quality and relevance.
  • Work independently and asynchronously to meet deadlines and improve AI model performance.

Qualifications

Must-Have

  • Experience working as a network engineer, ideally with enterprise networks (switches, APs, firewalls, etc.).
  • Comfort with interpreting logs, events, and time-series metrics.
  • Curiosity about how raw infrastructure data becomes machine learning input.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.