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Data Annotation For Ai Jobs in Quebec (NOW HIRING)

AppDirect

Senior Data Engineer

Montreal, QC

What we're looking for * AI-Assisted Development: Strong understanding of AI-assisted development ... Data Governance: A solid understanding of data quality, lineage, validation techniques, and data ...

Autodesk

Software Architect, AI/ML

Montreal, QC · On-site

... for you. The Applied AI team in Autodesk's Data and Process Management (DPM) organization ships Cloud-Native AI agents that make our Product Data Management (PDM) and Product Lifecycle Management ...

Accenture

Senior AI Lead: Databricks

Montreal, QC · On-site

The Advanced Technology Centers (ATCs) are the engine for reinvention in our clients ... Establish Lakehouse data foundations (Delta Lake, DLT, Unity Catalog) that power production AI ...

Bentley Systems

... team responsible for providing a next generation Connected Data Environment for global ... Success in this role means driving AI adoption, listening to users' needs and worries about AI ...

National Bank

Senior AI Data Scientist

Montreal, QC · On-site

A career as a Senior AI Data scientist in the Hyper Automation - Cross-sector Solutions ... Making a bold move in a people-first environment We're a bank on a human scale that stands out for ...

National Bank

Senior AI Data Scientist

Montreal, QC · On-site

A career as a Senior AI Data scientist in the Hyper Automation - Cross-sector Solutions ... Making a bold move in a people-first environment We're a bank on a human scale that stands out for ...

Posted today

National Bank

Senior AI Data Scientist

Laval, QC

A career as a Senior AI Data scientist in the Hyper Automation - Cross-sector Solutions ... Making a bold move in a people-first environment We're a bank on a human scale that stands out for ...

Posted today

National Bank

Senior AI Data Scientist

Longueuil, QC · On-site

A career as a Senior AI Data scientist in the Hyper Automation - Cross-sector Solutions ... Making a bold move in a people-first environment We're a bank on a human scale that stands out for ...

Posted today

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All JobsData Annotation For Ai JobsData Annotation For Ai Jobs in Quebec

Data Annotation For Ai information

What is the difference between Data Annotation For Ai vs Data Labeler?

AspectData Annotation For AiData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech companies, AI projectsRemote or on-site, data processing companies
Industry UsageArtificial Intelligence, Machine LearningData management, content moderation
Job FocusPreparing data for AI algorithms through annotationLabeling data for various purposes, including AI

Data Annotation For Ai involves preparing datasets specifically for training AI models, focusing on detailed annotations. Data Labeler is a broader role that includes labeling data for multiple purposes, including AI but also other data management tasks. While both roles require similar skills, Data Annotation For Ai is more specialized towards AI development projects.

What is data annotation for AI?

Data annotation for AI is the process of labeling or tagging data—such as text, images, audio, or video—to make it understandable for machine learning models. Annotators add relevant information to raw data, helping AI systems learn to recognize patterns and make accurate predictions. This step is crucial for training, validating, and testing AI algorithms, especially in tasks like computer vision and natural language processing. High-quality data annotation directly impacts the effectiveness and reliability of AI applications.

What are the key skills and qualifications needed to thrive as a data annotation specialist for AI, and why are they important?

To thrive as a Data Annotation Specialist for AI, you need a keen eye for detail, a solid understanding of data labeling concepts, and often a background in the relevant domain (such as language, images, or audio). Proficiency with annotation platforms, data management systems, and basic familiarity with tools like Excel or Python can be highly valuable. Strong communication, consistency, and time management skills help ensure accuracy and meet project deadlines. These abilities are crucial because high-quality, well-annotated data is foundational for training reliable and effective AI models.

What are some common challenges faced by data annotators working on AI projects, and how can they be addressed?

Data annotators for AI often encounter challenges such as maintaining consistency across large datasets, understanding ambiguous labeling instructions, and managing repetitive tasks. To address these issues, it's important to actively seek clarification on guidelines, participate in team discussions to align on labeling standards, and use annotation tools that flag inconsistencies. Regular feedback sessions with project leads also help improve accuracy and efficiency, fostering a collaborative and supportive work environment.
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What job categories do people searching Data Annotation For Ai jobs in Quebec look for? The top searched job categories for Data Annotation For Ai jobs in Quebec are:
Data Annotation For Ai jobs near you
Infographic showing various Data Annotation For Ai job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Sr AI Game Designer

Sony Interactive Entertainment (SIE)

Montreal, QC

Full-time

Posted 24 days ago

Job description

We are looking for an experienced AI Game Designer to join the Haven Entertainment Studios project team. The Sr AI Game Designer will work closely with the Game director to help shape the creation and development of the game design direction for the next generation of games. They will develop and design AI and emergent game systems that translate the vision into a playable experience. They will work within a collaborative multidisciplinary environment to ensure the delivery of high quality features with the consumer needs always at the forefront.

Reporting Line
The Senior AI Game Designer will report to the Production Director.

Role and Responsibilities

  • Work closely with the Game Director to shape the direction and break it down into a clear set of features, deliverables, and tasks
  • Develop the vision for AI systems and Game play Ingredient, create emergent experiences between the AI and the player, while coherently integrating the PvE and PvP dimensions of the gameplay experience
  • Design, implement, and tune AI systems, behaviours and game play ingredient throughout all stages of production to create exceptional player experiences
  • Work with an interdisciplinary team and act as a regular point of contact within that team, as well as with leadership and other creative and technical co-owners, to ensure cohesion across the work
  • Communicate game design through multiple means to effectively ensure that gameplay intentions and the work to be done are understood by all team members
  • Collaborate with the Pod Producer to define a clear product vision that supports the identification and prioritization of features to be developed for each production milestone
  • Adapt features and systems based on player feedback, while ensuring the coherence of AI systems in relation to the evolution of gameplay mechanics and the addition of new game modes

Required Experience and Skills

  • Extensive experience in game design, with at least one shipped title in this field
  • Strong understanding of game design principles, with a focus on AI behaviours and emergent systems
  • Strong Understanding of core game AI systems - navigation, perception, awareness, state machines, Behavior Trees / State Trees, and AI data tuning in Unreal - to effectively design, adjust, and communicate expected AI behaviors with programmers.
  • Strong ability to work directly in the Unreal Engine editor to tune parameters, identify issues through configuration analysis, and create rapid prototypes to support the initial validation needs of new features
  • Understanding and experience in effectively integrating player data and metrics into the design process
  • Excellent ability to organize and structure one's own work and communicate effectively with a diverse audience

Assets

  • Experience with Shipping AI systems as a Game Designer on at least one title
  • Experience as a Game Designer on an online game, with an understanding of best practices for this type of game
  • Good knowledge of all aspects and dependencies of game design, including level design and narrative systems
  • Experience in another related field such as Level Design, Industrial Design, or Scripting

Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.

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