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Ai Research Assistant Jobs in Quebec (NOW HIRING)

Research Associate

Sherbrooke, QC · On-site

CA$35.37/hr

Perform comprehensive literature reviews in the fields of data mining, machine learning, AI, and cybersecurity. * Assist Professor Fung in reviewing research publications. * Provide guidance to ...

Research Associate

Sherbrooke, QC · On-site

CA$35.37/hr

Perform comprehensive literature reviews in the fields of data mining, machine learning, AI, and cybersecurity. * Assist Professor Fung in reviewing research publications. * Provide guidance to ...

Comfort reaching out to companies that may not have considered remote assistants, virtual assistants, offshore talent, or AI-enabled workforce solutions before. * Strong research skills and the ...

... AI agents and assistants. What you'll build: The Data and Applied Science team will build the ... You'll work alongside curious engineers, thoughtful product minds, and applied researchers all ...

Our 12 R&D labs in Europe and North America drive continuous research in areas like computer vision ... * Assist in Solution Architecture: Support the GenAI Solution Architect in designing robust ...

Conduct applied research in the field of expertise that contributes to the programs (informs ... AI and Organizing, Computational Intelligence Applied to the Language Industry, Localization ...

Conduct applied research in the field of expertise that contributes to the programs (informs ... AI and Organizing, Computational Intelligence Applied to the Language Industry, Localization ...

... AI to automate or improve your work as an events marketer (research, vendor outreach, post-event ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

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Ai Research Assistant information

What is an AI Research Assistant?

An AI Research Assistant is a professional who supports artificial intelligence research projects by performing tasks such as data collection, literature reviews, running experiments, and analyzing results. They often work alongside AI researchers and engineers to help develop new algorithms, models, or applications in machine learning and related fields. The role may involve programming, using statistical tools, and staying updated on the latest advancements in AI. AI Research Assistants are commonly found in academic, corporate, or research lab environments. Their work is crucial for advancing the field and supporting innovation in AI.

What are some common challenges faced by AI Research Assistants when working on collaborative projects?

AI Research Assistants often collaborate with multidisciplinary teams, including data scientists, software engineers, and senior researchers. One common challenge is ensuring clear communication of complex technical findings to team members with varying expertise. Balancing multiple projects with competing deadlines can also be demanding, requiring strong organizational skills. Additionally, rapidly evolving research topics may necessitate frequent upskilling and adaptability to new tools and methodologies.

What are the key skills and qualifications needed to thrive as an AI Research Assistant, and why are they important?

To thrive as an AI Research Assistant, you need a solid background in computer science, mathematics, and machine learning, often supported by a relevant degree or coursework. Familiarity with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and experience using data analysis tools are typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with research teams and interpret complex results. These skills are essential for contributing to innovative AI projects, ensuring accurate research outcomes, and supporting the advancement of artificial intelligence.

What is the difference between Ai Research Assistant vs Data Scientist?

AspectAi Research AssistantData Scientist
Required CredentialsBachelor's or Master's in Computer Science, AI, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, AI development teams, academic settingsBusiness, tech companies, analytics teams
Industry UsageAI research projects, academic research, R&D departmentsData analysis, predictive modeling, business insights
Common Search IntentUnderstanding AI research roles, entry-level AI research jobsData analysis careers, data-driven decision making

While both roles involve working with data and algorithms, an Ai Research Assistant primarily supports AI research projects, focusing on developing and testing AI models. A Data Scientist, on the other hand, analyzes data to generate insights and inform business decisions. The roles often overlap in skills and credentials but differ in their core focus and work environment.

How much do AI research assistants make?

AI research assistants typically earn between $50,000 and $90,000 annually, depending on experience, education, and location. Entry-level positions may start lower, while those with advanced skills in machine learning and data analysis can earn higher salaries, often with opportunities for growth in research environments or tech companies.

How to become an AI research assistant?

To become an AI research assistant, candidates typically need a strong background in computer science, mathematics, or related fields, often holding a bachelor's or master's degree. Skills in programming languages like Python, experience with machine learning frameworks, and familiarity with research methodologies are essential. Gaining experience through internships, academic projects, or contributing to research papers can improve prospects in this role.

What are the most commonly searched types of Ai Research jobs in Quebec?

The most popular types of Ai Research jobs in Quebec are:

Infographic showing various Ai Research Assistant job openings in Quebec as of August 2026, with employment types broken down into 2% As Needed, 77% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.

Senior Researcher Communications Specialist

LawZero

Montreal, QC • On-site

Full-time

Medical, Retirement, PTO

Re-posted 11 days ago


Key responsibilities

  • Collaborate with researchers and engineers to understand research projects, breakthroughs, and outcomes.

  • Translate complex AI and machine learning concepts into accessible, engaging content for diverse audiences.

  • Support the preparation of grant proposals and research funding applications, including drafting technical sections.


Job description

LawZero is seeking a curious, intellectually agile, and mission-driven Senior Researcher Communication Specialist - AI to serve as a bridge between our research teams and external audiences.

Working closely with researchers, engineers, and leadership, you will transform complex AI research into clear, engaging, and scientifically accurate content for a variety of stakeholders, including policymakers, funding organizations, partners, media, and the broader public.

This role requires someone comfortable engaging directly with scientists, understanding advanced machine learning concepts, and translating technical breakthroughs into compelling narratives without losing scientific rigor.

Beyond content creation, you will play an important role in supporting research funding initiatives, helping researchers communicate technical requirements and scientific impact in grant applications and strategic communications.

This is an ideal opportunity for someone who enjoys operating at the intersection of science, communication, and societal impact.

Key Responsibilities

Scientific Communication & Knowledge Translation

  • Collaborate closely with researchers and engineers to understand ongoing projects, technical breakthroughs, and research outcomes.
  • Translate complex AI and machine learning concepts into accessible, engaging content tailored to diverse audiences.
  • Produce a wide range of communication materials, including:
    • Blog posts
    • Research summaries
    • White papers
    • Newsletters
    • Website content
    • Social media content
    • Executive briefings
    • Government and stakeholder communications
  • Ensure scientific accuracy while adapting content to varying levels of technical expertise.

Strategic Content Development

  • Proactively identify emerging trends, research milestones, and opportunities to showcase LawZero's work.
  • Generate content ideas and recommend communication strategies that support organizational goals.
  • Repurpose research outputs into multiple content formats and channels to maximize visibility and impact.
  • Connect LawZero's research activities with broader developments in AI, AI safety, and public policy.

Grant Writing & Research Support

  • Support the preparation of grant proposals and research funding applications.
  • Draft and refine technical sections related to:
    • AI research programs
    • Computing infrastructure
    • GPU requirements and resource planning
    • Research methodologies
    • Expected scientific outcomes
  • Work alongside researchers to streamline proposal development and reduce administrative burden.

Scientific Outreach & Events

  • Assist in preparing conference materials, presentations, posters, and supporting documentation.
  • Contribute to communications supporting partnerships, public engagement initiatives, and scientific outreach activities.
  • Help position LawZero as a leading voice in responsible AI research.

Qualifications

Experience

  • 5+ years of experience in technical writing, scientific communication, research communications, or a related field.
  • Experience working within research, academic, scientific, or highly technical environments.
  • Experience supporting grant applications or research funding initiatives is considered a strong asset.

Technical Fluency

  • Strong understanding of artificial intelligence and machine learning concepts.
  • Ability to engage directly with researchers and technical experts on advanced topics without requiring extensive simplification.
  • Familiarity with concepts such as:
    • Large Language Models (LLMs)
    • Deep Learning
    • Model Evaluation
    • AI Safety
    • High-Performance Computing (HPC)
    • GPU Infrastructure

A PhD is not required; however, candidates must demonstrate sufficient technical depth to understand and communicate advanced research effectively.

Writing & Communication Skills

  • Exceptional writing and editing skills.
  • Proven ability to transform dense technical or scientific content into clear, compelling narratives.
  • Strong attention to detail and commitment to factual accuracy.
  • Ability to adapt tone, complexity, and messaging for different audiences.

Collaboration & Working Style

  • Highly collaborative and comfortable working in a flat organizational structure.
  • Self-starter who thrives with autonomy and ownership.
  • Strong organizational and prioritization skills, with the ability to manage multiple projects simultaneously.
  • Comfortable challenging assumptions, proposing new ideas, and contributing strategically beyond content execution.

Language Requirements

  • Exceptional written English is required.
  • Professional proficiency in French is required.
  • Ability to create and adapt content in both official languages.

What we offer

  • The chance to contribute meaningfully to a globally critical initiative
  • Comprehensive health benefits (including mental health and wellness management account)
  • 20 days of vacation per year upon start
  • Employer contribution of 4% to your retirement savings, with no required employee match
  • Additional compensation totaling 8% of your salary to apply towards additional retirement savings or bonuses (independent of group and individual performance)
  • A team of passionate world-class experts in their field
  • A collaborative and inclusive work environment in our vibrant office space in the heart of Little Italy, in the trendy Mile-Ex district, close to public transportation

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