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Natural Language Processing Intern Jobs in Toronto, ON

Td

Full Stack Data Science Engineer

Toronto, ON · On-site

CA$120K - CA$154K/yr

Predictive Analytics, Natural Language Processing (NLP), Supervised and Unsupervised Learning, leveraging Generative AI tools and APIs, Model Development and Deployment, Experimentation and ...

THOMSON REUTERS

Senior Research Engineer

Toronto, ON · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Exposure to Natural Language Processing (NLP) problems and familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, Text classification ...

Amazon

Applied Scientist, Sales AI

Toronto, ON

You have the scientific and technical skills to build and refine models that can be implemented in production, and you leverage Natural Language Processing and Generative AI models to enhance their ...

Amazon

Applied Scientist, Sales AI

Toronto, ON

... in Natural Language Processing (inc. tokenization, syntactic parsing, named entity recognition (NER), sentiment analysis, text classification), Large Language Models (inc. foundation model ...

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All JobsNatural Language Processing Intern JobsNatural Language Processing Intern Jobs in Toronto, ON

Natural Language Processing Intern information

See Toronto, ON salary details

$21.5K

$114.7K

$184.2K

How much do natural language processing intern jobs pay per year?

As of Aug 17, 2026, the average yearly pay for natural language processing intern in Toronto, ON is $114,675.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,459.00 and $155,557.00 per year, depending on experience, location, and employer.

What types of projects or tasks does a natural language processing intern typically work on during their internship?

As a Natural Language Processing Intern, you can expect to work on projects such as building or refining text classification models, cleaning and annotating datasets, assisting with the implementation of algorithms for tasks like sentiment analysis or language generation, and analyzing the performance of NLP systems. Interns often collaborate with experienced data scientists, machine learning engineers, and linguists to solve real-world language processing challenges. You may also help research new NLP techniques or work on the integration of models into existing products or services. This hands-on experience provides valuable exposure to practical NLP workflows and is a great stepping stone for a career in AI or machine learning.

What is a natural language processing intern?

A Natural Language Processing (NLP) Intern works on projects related to computational linguistics, machine learning, and text analysis. Responsibilities may include preprocessing text data, training and fine-tuning language models, implementing NLP algorithms, and evaluating model performance. Interns typically collaborate with data scientists, engineers, and researchers to improve and deploy NLP solutions for tasks such as sentiment analysis, named entity recognition, or chatbot development. This role requires proficiency in programming languages like Python, familiarity with NLP libraries such as TensorFlow or spaCy, and a strong foundation in machine learning concepts.

What are the key skills and qualifications needed to thrive as a natural language processing intern, and why are they important?

To thrive as a Natural Language Processing Intern, you need a solid background in programming (especially Python), understanding of machine learning concepts, and coursework or experience in linguistics or NLP techniques. Familiarity with NLP libraries such as NLTK, spaCy, or Hugging Face, and experience using platforms like Jupyter Notebooks and version control systems are often required. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly will help you stand out. These skills and qualities enable you to effectively support research, analyze language data, and contribute to NLP projects within collaborative technical teams.

What job categories do people searching Natural Language Processing Intern jobs in Toronto, ON look for?

The top searched job categories for Natural Language Processing Intern jobs in Toronto, ON are:

Natural Language Processing Intern jobs near you
Infographic showing various Natural Language Processing Intern job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 19% Part Time, 1% Temporary, and 5% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $114,675 per year, or $55.1 per hour.

System Technical Support L2

Geekplus America Inc

Thornhill, ON • On-site

Full-time

Posted 11 days ago

Job description

Role: System Technical Support

Location: Ontario, Canada


Geek+ is a global leader in robotic solutions for logistics. We develop Autonomous Mobile-Robot (AMR) solutions to realize flexible, reliable, and highly efficient automation for warehouses and supply chain management by automating various laborious tasks like picking, moving, and sorting. We've led the global AMR market share for three consecutive years, being declared the world's no.1 AMR leader. (Source: Interact Analysis). The North American headquarters in San Diego, California will continue to power our growth in Canada, United States, and Mexico.


Life at GeekPlus is straightforward. We're a team of geeks who love technology and teamwork. We work together to meet customer needs; we celebrate our wins and learn from our misses. The only thing better than seeing customer operations improved by our technology is seeing it happen at scale! We are biased toward action and getting things done and think differently about how we apply technology. We support each other, and we're empowered to win. Our strength comes from our different backgrounds and perspectives.




Responsibilities:

  1. Conduct in-depth troubleshooting and resolution of complex technical issues escalated from L1 support, including system anomalies, performance bottlenecks, and integration failures.
  2. Prepare detailed technical case studies and solution documentation, and continuously improve the team knowledge base.
  3. Collaborate on system upgrades, working closely with R&D, product, and other departments to clearly describe the root cause of issues (involving databases, systems, or application logic) and drive problems to resolution.
  4. Provide customer support and knowledge transfer, offering necessary technical training and guidance to internal L1 teams and customers to enhance front-line problem-solving capabilities.



Requirements:

  1. Bachelor's degree or above in Computer Science, Automation, Logistics, or related fields.
  2. Minimum 3 years of experience in system support/operations, with background in robotics, logistics automation, WMS systems, or large-scale internet system support.
  3. Technical Competencies:
       - Proficient in MySQL Database: Skilled in SQL optimization, transactions, locking mechanisms, with substantial experience in performance tuning and troubleshooting.
       - Proficient in Linux OS: Familiar with Shell scripting, and adept at using various commands and tools for system diagnostics.
       - Solid foundation in Java Programming: Ability to read and understand Java application code logic to assist in log analysis and issue identification.
       - Familiar with networking fundamentals and common application service architectures.
  4. Excellent logical analysis, stress resilience, and customer service mindset, with effective cross-team communication skills.



Preferred Qualifications:

  1. Familiar with using AI technologies or tools, capable of leveraging AI-assisted tools for intelligent log analysis, failure prediction, code investigation, or automated documentation generation to enhance problem-solving efficiency; basic understanding of common AI models (e.g., machine learning, natural language processing) in business applications.
  2. Able to use English/Chinese as a working language for technical communication, documentation reading, and writing
  3. Open to business travel or relocation (Toronto, Canada; London/Manchester, UK).
  4. Familiar with robot scheduling systems, Warehouse Management Systems (WMS), or Warehouse Control Systems (WCS).