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Natural Language Processing Intern Jobs in Toronto, ON

Netomi

Staff Agentic AI Engineer

Toronto, ON · On-site

... natural language processing, and/or AI systems development * 2+ years of hands-on experience building production LLM or AI agent systems * Demonstrated experience building agents used in production ...

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 ...

Pillway

QA Engineer (AI & Manual Testing)

Brampton, ON · On-site

CA$70K - CA$85K/yr

You will apply AI-based visual testing and anomaly detection to catch issues before they impact users, and utilize Natural Language Processing (NLP) models for requirement analysis and the generation ...

Royal Bank of Canada

Senior AI Engineer

Toronto, ON

Natural Language Processing (NLP): strong understand of NLP tasks such as entity recognition, summarization, text classification. * Skills in evaluating LLM performance using metrics * Data Pipeline ...

KPMG

Senior Consultant - AI Governance

Toronto, ON

Understanding of machine learning algorithms and their implications for risk, including supervised and unsupervised learning, neural networks, and natural language processing. * Skills in using ...

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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.

RQ10972 - Data Analytical Specialist/Scientist - Intermediate

Flexstaf IT

Toronto, ON

Full-time

Re-posted 22 days ago

Job description

Must Have:

Key Requirements for a Data Specialist / Analytics Role

  • Strong data analysis and problem-solving skills
  • Advanced proficiency in SQL for data extraction, transformation, and analysis
  • Expertise in Power BI dashboard and report development
  • Ability to design and develop interactive Power BI dashboards, scorecards, and KPI reports
  • Strong knowledge of DAX and Power Query for advanced analytics and data transformation
  • Experience with data modeling (fact and dimension tables, star schema)
  • Data cleansing, validation, and quality management
  • Experience with ETL processes and data integration from multiple sources
  • Ability to gather business requirements and translate them into reporting solutions
  • Strong data visualization and storytelling skills
  • Experience creating executive, operational, and analytical reports
  • Knowledge of Power BI Service, report publishing, workspace management, and security
  • Understanding of Row-Level Security (RLS) and data governance practices
  • Experience working with large datasets and data warehouses
  • Familiarity with cloud analytics platforms and modern data ecosystems
  • Ability to identify trends, patterns, risks, and opportunities through data analysis
  • Strong stakeholder communication and presentation skills
  • Experience documenting data definitions, KPIs, and reporting processes
Core Technical Skills
  • Power BI Dashboard & Report Development
  • DAX
  • Power Query (M)
  • SQL
  • Data Modeling
  • Data Visualization
  • ETL & Data Integration
  • KPI & Performance Reporting
  • Data Quality Management
  • Power BI Service & RLS

Nice to have:

Prior OPS or Public sector Exp.


Experience and Skill Set Requirements

Responsibilities:

  • Lead the development and delivery of functional and ministry-specific analytics to support evidence-based decision-making and produce actionable insights
  • Work closely with client's groups to assess current data analytics and reporting capabilities, gather future-state requirements and identify further opportunities for improvement
  • Facilitate decision-making and manage client expectations
  • Own the execution of analytics initiatives including end-to-end reporting and data set delivery
  • Develop robust statistical models and machine learning algorithms to model business scenarios and extract valid inferences
  • Participate in documentation, development, testing, and end user training
  • Work with functional area experts, Data Architects and ETL Developers and stakeholders to understand complex business issues and develop appropriate Business Intelligence solutions
  • Assist the Lead Developers with ETL and/or SSIS development where necessary
  • Design methods to capture, structure, transform, and process data to be used to generate models
  • Build data models that provide information which is accurate, easy to understand and unbiased
  • Communicate complex quantitative analysis in a clear and precise manner, providing useful visuals and summaries
  • Provide interpretation, advice, and expertise to client groups and other stakeholders, including direction on how to transform analytics into actionable information and proactive insights that support decision making

General Skills:

  • Excellent analytical, problem-solving and decision-making skills, verbal and written communication skills, interpersonal skills and team work skills
  • Outstanding consulting and relationship management skills, with proven ability to elicit requirements, develop/consult on options and solutions, and provide effective guidance
  • Adept at communicating to both technical and non-technical audiences
  • Experience with a range of analytical methods, techniques and tools such as, but not limited to: statistical analysis and modelling, data mining, machine learning and algorithms, natural language processing, and other related disciplines at the specified experience level
  • Ability to manipulate and analyze complex, high-volume data from structured and unstructured sources
  • Experience developing data extraction, transformation, and load functionality for large relational and multi-dimensional data stores
  • Experience designing high quality interfaces to present information in a meaningful way to end users
  • Broad understanding of data management, financial and business analysis, database architecture, and information visualization
  • Proficiency in query languages and experience constructing complex query statements
  • Experience in one or more programming or scripting languages
  • Strong investigative and logic skills
  • Proficiency in mathematics and statistics
  • Awareness of emerging Business Intelligence trends and directions

Knowledge Transfer

  • Knowledge Transfer should be done to designated technical cluster FTE.
  • Knowledge transfer must be completed two weeks prior to the consultant leaving the ministry.
  • All deliverables, including design/supporting/release/training documents must be checked into designated version control repositories (for example, SharePoint, DevOps).
  • All final documents and working drafts related to project requirements or business analysis or solution design or solution development or QA testing plans or Architectural artefacts and other working related documents must be stored on designated project SharePoint folder and Azure DevOps.
  • Project manager and designated FTE must be regularly informed in writing (by email) of where documentation has been stored and must be provided a minimum of one walk-through of all documentation as part of the final knowledge transfer activities.
  • Knowledge will be transferred through 1 on 1 sessions, emails, document updates and document review with the team.

Experience and Skill Set Requirements

Tools and techniques - 40%

  • Experience with a range of analytical methods, techniques and tools such as statistical analysis and modelling, data mining, machine learning and algorithms, natural language processing, and other related disciplines
  • Experience building visualizations in R, R Shiny, PowerBI, or other tools
  • Experience with ETL and SSIS development
  • Experience with scripting such as Python, and languages such as DAX to be able to do trend analysis
  • Experience in Microsoft technology stack, including Azure Data Factory, SSIS, SSAS, SSRS, Power BI, and supporting tools like Visual Studio and SQL Server Management Studio.

BI and Analytics Experience - 40%

  • Experience developing BI and analytics
  • Experience with creating dashboards and data visualization via Power BI Server (On-Prem) and Power BI Services (Cloud) or other visualization tools
  • Experience with cleaning, transforming and visualizing data sets
  • Advanced experience with SQL
  • Demonstrated knowledge of emerging Business Intelligence trends and directions
  • Experience with dimensional data/building cubes

Soft Skills - 15%

  • Outstanding consulting and relationship management skills, with proven ability to elicit requirements, develop/consult on options and solutions, and provide effective guidance
  • Strong verbal and written communication skills; with both technical and non-technical audiences
  • Excellent analytical, problem-solving and decision-making skills
  • Strong leadership and collaboration skills
  • Proven track record for building strong working relationships
  • A demonstrated team player with a track record for meeting deadlines

Public Sector Experience - 5%

  • Previous public sector experience in an organization of equivalent size or complexity in Public Service
  • Demonstrates experience designing and developing applications that comply with GOITS standards and general processes would be an asset.