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Ai Training Jobs in Quebec (NOW HIRING)

... AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more ...

... AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more ...

... AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more ...

... AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more ...

... AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more ...

... AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more ...

... AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more ...

... AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more ...

... AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more ...

... AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more ...

... AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more ...

... AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more ...

... AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more ...

... AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more ...

... AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more ...

... AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more ...

... AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more ...

Remote Excel Specialist

QC ยท On-site +1

... AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more ...

... AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more ...

Showing results 21-40

Ai Training information

See Quebec salary details

$22K

$92.2K

$192.5K

How much do ai training jobs pay per year?

As of Aug 11, 2026, the average yearly pay for ai training in Quebec is $92,186.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $138,500.00 per year, depending on experience, location, and employer.

What is an AI training?

An AI Training job involves preparing and refining data to help improve artificial intelligence models. This can include labeling data, reviewing AI-generated outputs, and providing feedback to enhance accuracy. AI Trainers work with machine learning teams to fine-tune models for tasks like chatbots, image recognition, or language processing. Strong attention to detail and an understanding of AI behavior are key skills for this role.

Do AI trainers get paid?

AI trainers are typically paid professionals who develop and refine machine learning models, often earning salaries that vary based on experience, location, and employer. Compensation can range from entry-level wages to six-figure salaries for experienced specialists, and many AI trainers work in environments that require knowledge of programming, data annotation, and machine learning tools.

What does an AI training specialist do?

AI Training specialists are primarily responsible for curating, labeling, and managing large datasets that are used to train machine learning models. They often collaborate closely with data scientists and engineers to ensure data quality, clarity of labeling guidelines, and that project requirements are met. Daily tasks can include annotating images or text, performing data validation, refining annotation protocols, and reviewing outputs generated by AI models. This role frequently involves teamwork as well as independent problem-solving, offering opportunities to learn about AI development workflows and expand technical knowledge.

How to get into AI training jobs?

To pursue AI training jobs, candidates typically need a background in computer science, data science, or related fields, along with knowledge of machine learning frameworks like TensorFlow or PyTorch. Gaining experience through online courses, certifications, or internships can improve prospects, and strong programming skills in Python are often essential. Familiarity with data labeling, model evaluation, and AI development environments is also beneficial.

What are the key skills and qualifications needed to thrive in the AI training position?

To thrive in AI Training, you need a solid understanding of machine learning concepts, data annotation, and statistical analysis, often supported by a background in computer science or related fields. Familiarity with tools such as TensorFlow, PyTorch, labeling software, and experience with data management systems is highly valued. Strong attention to detail, effective communication, and critical thinking are important soft skills for this role. These skills ensure the accurate preparation and handling of training data, which directly impacts the quality and success of AI models.

How can I work as an AI trainer?

To work as an AI trainer, you typically need a background in computer science, data analysis, or machine learning, along with strong communication skills. The role involves labeling data, refining algorithms, and providing feedback to improve AI models, often using tools like Python or specialized annotation platforms. Relevant certifications or experience with neural networks and natural language processing can enhance your qualifications.

Are there any legit AI training jobs?

Yes, legitimate AI training jobs involve annotating data, labeling images or text, and helping improve machine learning models. These roles often require attention to detail, familiarity with AI tools, and sometimes specific certifications or training. Many companies offer remote or flexible positions for AI trainers, but job seekers should verify the company's credibility before applying.
What are the most commonly searched types of Ai Training jobs in Quebec? The most popular types of Ai Training jobs in Quebec are:
What are popular job titles related to Ai Training jobs in Quebec? For Ai Training jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Ai Training jobs in Quebec look for? The top searched job categories for Ai Training jobs in Quebec are:
Infographic showing various Ai Training job openings in Quebec as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $92,186 per year, or $44.3 per hour.

Remote Excel Specialist

Micro1

Saint-lin-laurentides, QC โ€ข On-site, Remote

Full-time

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Excel Specialist
$20 - $60/hourpay
Required Skills
microsoft excel
office open xml
microsoft powerpoint
microsoft word
business analysis
document review
scenario design
analytical thinking
written communication
verbal communication
About micro1
micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform.

Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI.

Role Title: Excel Specialist


Role Type: Contractor


Location: Remote


micro1 is engaging Excel Specialists to support a customerโ€™s initiative focused on enhancing an LLMโ€™s proficiency in creating, understanding, and modifying Office Open XML filesโ€”including complex .xlsx, .docx, and .pptx documents. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required โ€” your domain knowledge is what matters.


Scope of Work

  1. Design and simulate challenging, realistic business scenarios that require expert-level use of Excel, PowerPoint, and Word, mirroring tasks from your professional experience.
  2. Engage in structured, multi-turn conversations with an LLM, presenting complex document-related prompts and evaluating AI-generated deliverables.
  3. Create and review Office documents (.xlsx, .docx, .pptx), assessing two AI-generated solutions against professional standards and selecting the preferred output.
  4. Document feedback and provide detailed, side-by-side preference data to inform AI model improvements, focusing on quality, accuracy, and business relevance.
  5. Contribute domain-specific insight across multiple industries and business functions, ensuring the data collected covers diverse, real-world use cases.
  6. Communicate clearly and thoughtfully in both written and verbal formats to ensure precise understanding and actionable feedback for the AI training team.


Preferred Qualifications

  1. Minimum 3+ years of professional experience working in Fortune 500 environments using Excel, PowerPoint, and Word on high-impact business projects.
  2. Demonstrated expertise in creating complex models, reports, analyses, and presentations across various industries such as finance, healthcare, tech, consulting, or retail.
  3. Background in business roles such as private equity associate, investment banking analyst, junior consultant, FP&A analyst, HR, or marketing strategist, with hands-on involvement in deal or project work.
  4. Proficiency in designing use cases reflecting functions like strategy, operations, sales, marketing, finance, or HR.
  5. Exceptional written and verbal communication skills, with a keen eye for detail and clarity in articulating feedback.
  6. Experience interacting with LLMs or writing long-form prompts for AI tools is a strong plus.
  7. Strong analytical mindset and ability to evaluate nuanced differences in document quality and business applicability.