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Data Annotation For Ai Jobs in Quebec (NOW HIRING)

Maya HTT

AI Presales Engineer

Montreal, QC

... for AI, analytics, digital transformation, and industrial data initiatives. Main responsibilities: * Lead technical discovery sessions with industrial customers to understand operational ...

Maya HTT

AI Presales Engineer

Montreal, QC

... for AI, analytics, digital transformation, and industrial data initiatives. Main responsibilities: * Lead technical discovery sessions with industrial customers to understand operational ...

Genesys

Senior AI Architect (Presales)

Quebec, QC

Design scalable knowledge and retrieval strategies that ground AI responses in enterprise data. Develop approaches for content structuring, chunking, embedding, and ranking to ensure accuracy ...

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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.

How much do AI data annotators make?

AI data annotators typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of the annotation tasks. Some positions may offer freelance or project-based pay, with rates varying accordingly.

Is data annotation AI job real?

Yes, data annotation for AI is a real job that involves labeling data such as images, text, or videos to help train machine learning models. It often requires attention to detail and familiarity with annotation tools, and roles can be found in tech companies and AI development environments.

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.

Can you use data annotation for AI?

Data annotation for AI involves labeling and categorizing data such as images, text, or audio to train machine learning models. Data annotation jobs require attention to detail and often involve using specialized tools or platforms; they are essential for developing accurate AI systems.

What does an AI data annotator do?

An AI data annotator labels and tags data such as images, videos, text, or audio to help train machine learning models. They use specialized tools to ensure data is accurately annotated according to project guidelines, which is essential for developing effective AI systems.

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 June 2026, with employment types broken down into 1% Locum Tenens, 42% Full Time, 11% Part Time, 3% Temporary, 41% Contract, and 2% Nights. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution.

AI Presales Engineer

Maya HTT

Montreal, QC

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago

Job description

Maya HTT is a world leading developer of digital industries software solutions. The world’s top tier engineering and manufacturing organizations rely on Maya HTT’s experience and expertise to achieve the full potential of their software investment. Maya HTT is at the forefront of innovation technology. Our team delivers extensive engineering and CAE simulation expertise along with cutting-edge digitalization solutions, such as AI, machine learning, IIoT, operational technologies, and Industry 4.0.
About the role:

Maya HTT is looking for an AI Presales Engineer to support the growth of its industrial AI services and software solutions portfolio (M-Bot and others), including Siemens Digital Industries Software solutions such as Insights Hub, Mendix, and RapidMiner. Maya HTT helps industrial and manufacturing companies design, deploy, and scale AI solutions across areas such as energy optimization, productivity improvement, quality, predictive maintenance, supply chain intelligence, and manufacturing/industrial operations.

In this role, you will work closely with sales, engineering, data science, and customer teams to identify business challenges, shape technical solutions, deliver demos and workshops, and support proposals for AI, analytics, digital transformation, and industrial data initiatives.


Main responsibilities:
  • Lead technical discovery sessions with industrial customers to understand operational, manufacturing, and business challenges
  • Translate customer needs into compelling AI, analytics, and digital transformation solution concepts
  • Prepare and deliver demos, workshops, proof-of-concept proposals, and technical presentations
  • Support opportunities involving RapidMiner, M-Bot, advanced analytics, explainable AI, AI automation, and enterprise AI tools
  • Collaborate with sales teams on proposals, scopes of work, solution estimates, and value propositions
  • Assess customer data readiness, OT/IT architecture, integration needs, and deployment constraints
  • Work with delivery teams to ensure proposed solutions are feasible, scalable, and aligned with customer ROI
  • Support partner-driven opportunities involving Siemens, Aveva, and other industrial AI partner solutions
  • Represent Maya HTT in customer meetings, webinars, events, and executive-level technical discussion.

Qualifications:
  • Bachelor’s degree in Engineering, Computer Science, Data Science, or a related industrial AI/data technical field
  • Relevant experience in pre-sales, solution consulting, industrial analytics, AI/ML, manufacturing systems, or technical sales support
  • Strong understanding of machine learning, industrial data, time-series analytics, predictive maintenance, optimization, generative AI, or computer vision
  • Familiarity with industrial environments such as manufacturing, energy, aerospace, automotive, utilities, or process industries
  • Ability to communicate technical concepts clearly to both manufacturing/operations teams and business stakeholders
  • Experience supporting demos, workshops, presentations, proposals, and customer-facing technical discussions
  • Strong consultative mindset with the ability to connect technology capabilities to measurable business value
  • Excellent communication skills in English, both oral and written (The position requires regular interaction with colleagues, suppliers and customers based outside of Quebec, nationally and internationally). 

Nice to have:
  • Experience with RapidMiner, Aveva PI, Siemens Industrial Edge, Insights Hub, Mendix, or related industrial software platforms
  • Knowledge of PLCs, SCADA, historians, MES, ERP, cloud platforms, MLOps, or data integration architectures
  • Experience in AI solution scoping and business case development
  • French language skills, both oral and written, are an asset.

Why join Maya HTT?
  • Flex Working Hours and Hybrid Work. Office downtown Montreal, 2-minute walk from Atwater Metro.
  • Permanent Position and Competitive Base Salary.
  • 100% Employer-Paid Benefits starting from Day One: Medical, Dental, Vision, Life, Short/Long Term disability insurances.
  • Retirement Savings: Group RRSP / DPSP Plan with Employer Contributions open to join from Day One 
  • Career Growth Opportunities: Our flexible career paths allow you to grow, and we like to promote internally.
  • Learning Opportunities: Learn from the best in the industry and develop your skills.
  • Generous Time-Off Policy: We promote a Healthy Work-Life Balance with a Flexible PTO Policy, Sick/Personal Days, and a Summer Flex Schedule.
  • Structured Onboarding Program: We’re invested in your success; you’ll have team members to support you and provide a wide range of assistance from Day One.
  • Join an award-winning company that is recognized worldwide as an industry leader.
Our Candidate Experience Flow: HR Screen - Virtual Interviews using Microsoft Teams - In-person interviews including delivering technical presentations - Job Offer
Maya HTT is an equal opportunity employer and committed to fostering diversity and inclusion in the workplace. Accommodations are available upon request for candidates taking part in all aspects of the hiring and selection process.