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Llm Remote Jobs in Quebec (NOW HIRING)

... in a remote and distributed team environment Nice to Have Experience testing IVR systems, Sierra, or contact center platforms Exposure to testing Generative AI solutions or LLM based systems ...

... while remote team members play an integral role in shaping our dynamic culture from afar. We have ... Direct experience optimizing AI visibility and leveraging AI/LLM tools to scale and automate SEO ...

... while remote team members play an integral role in shaping our dynamic culture from afar. We have ... Direct experience optimizing AI visibility and leveraging AI/LLM tools to scale and automate SEO ...

Having recognized the advantages of remote work, including employee morale, productivity, reduced ... Develop LLM, RAG, and multi-agent AI applications. * Build APIs and AI services using FastAPI (or ...

Llm Remote information

How can I make 2000 a week working from home?

Llm Remote roles typically involve tasks like data annotation, content review, or AI training, which can pay hourly or per project. To earn $2000 weekly, you may need to combine multiple freelance or contract positions, develop specialized skills, and work full-time hours, often requiring strong communication and technical proficiency. Building a portfolio and leveraging remote job platforms can help find higher-paying opportunities in this field.

What is an LLM Remote job?

An LLM Remote job typically refers to a position that involves working with large language models (LLMs) such as OpenAI's GPT, but done remotely rather than in a traditional office setting. These roles can include positions like machine learning engineer, data scientist, prompt engineer, or AI researcher, all focused on developing, fine-tuning, or applying LLMs. Working remotely allows professionals to contribute to AI projects from anywhere, often collaborating with distributed teams and leveraging cloud-based tools. This flexibility is ideal for those who want to work in the AI field without relocating to a tech hub.

What is the difference between Llm Remote vs Legal Assistant?

AspectLlm RemoteLegal Assistant
Required CredentialsLaw degree (JD or equivalent), bar admission (preferred)High school diploma or associate degree, paralegal certification often preferred
Work EnvironmentRemote, flexible hours, legal firms or corporate legal departmentsOffice-based or hybrid, law firms, corporate legal departments
Industry UsageLegal research, document review, legal analysisLegal support, document preparation, client communication
Search & Comparison IntentUnderstanding remote legal roles, legal research jobsLegal support roles, paralegal or legal assistant positions

While both roles support legal operations, Llm Remote typically involves legal research and analysis requiring a law degree, often performed remotely. Legal Assistants focus on administrative and support tasks, usually in-office or hybrid, with less emphasis on legal research. The choice depends on your credentials and preferred work environment.

What are some common challenges faced by remote Large Language Model (LLM) engineers, and how can they overcome them?

Remote LLM engineers often face challenges such as collaborating effectively across time zones, maintaining clear communication with distributed teams, and staying updated on rapidly evolving AI research. To overcome these obstacles, it's important to leverage collaboration tools (like Slack, GitHub, and video conferencing), establish regular check-ins, and participate in virtual knowledge-sharing sessions. Additionally, proactively seeking feedback and engaging with global AI communities can help remote LLM engineers stay aligned with team goals and industry trends.

How to make $1000 a week remotely?

To make $1000 a week remotely, individuals can pursue high-paying freelance roles such as content writing, programming, or digital marketing, often requiring specialized skills and experience. Building a strong portfolio, acquiring relevant certifications, and consistently applying to well-paying remote jobs or freelance projects can help achieve this income level.

What jobs can I do with LLM?

With an LLM (Master of Laws), you can pursue careers such as legal analyst, corporate counsel, compliance officer, or legal consultant. These roles often require strong research, writing, and analytical skills, and may involve working in law firms, corporations, or government agencies.

Which LLM is in demand?

In the field of large language models (LLMs), models like OpenAI's GPT-4 and GPT-3.5 are highly sought after for their advanced natural language processing capabilities. Skills in training, fine-tuning, and deploying these models, along with experience in machine learning frameworks such as TensorFlow or PyTorch, are in high demand for roles involving LLM development and application.

What are the key skills and qualifications needed to thrive as an LLM Remote Engineer, and why are they important?

To excel as an LLM Remote Engineer, a solid background in machine learning, natural language processing, and proficiency with programming languages like Python is essential, often supported by a degree in computer science or a related field. Experience with frameworks such as PyTorch or TensorFlow, familiarity with large language models (LLMs), and relevant cloud platforms (like AWS or Azure) are typically required, along with certifications in AI or ML being advantageous. Strong problem-solving, communication, and self-motivation are crucial soft skills for collaborating effectively across remote teams and driving innovation. These competencies ensure successful model development, deployment, and maintenance in a distributed work environment.
What are popular job titles related to Llm Remote jobs in Quebec? For Llm Remote jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Llm Remote jobs in Quebec look for? The top searched job categories for Llm Remote jobs in Quebec are:
Infographic showing various Llm Remote job openings in Quebec as of July 2026, with employment types broken down into 1% Locum Tenens, 2% As Needed, 90% Full Time, 3% Part Time, 2% Contract, and 2% Nights. Highlights an 78% Physical, 5% Hybrid, and 17% Remote job distribution.

Senior Prompt Engineer (AI Clinical Products)

Medfar

Montreal, QC • On-site, Remote

Full-time

Medical, PTO

Posted 26 days ago


Job description

Company Description

MEDFAR Clinical Solutions was founded in 2010 by two aeronautical engineers who realized that the healthcare system was not exploiting the full potential of technology. Supported by a large community of medical experts and focused on clinical success and patient safety, MEDFAR was the first company to certify a cloud-based Electronic Medical Record in Canada: MYLE (Make Your Life Easy).

Committed to promoting excellence and effectiveness in healthcare worldwide, MEDFAR differentiates itself by offering a unique healthcare management solution for clinics, which replaces inefficient processes with a faster and safer technological alternative.

Job Description

As a Senior Prompt Designer, you will play a defining role in shaping the quality, reliability, and evolution of MEDFAR's generative AI features — most notably CoeurWay, our AI-powered clinical scribe, and emerging AI capabilities within MYLE EMR. Reporting to the Director of UX, you will sit at the intersection of product, clinical quality, and AI craft, working closely with product designers, developers, QA, and client-facing teams to ensure that every AI-generated output meets the high standards required in a healthcare setting.

This is a senior individual contributor role with a clear growth path toward mentoring and leading a prompt engineering practice as MEDFAR's AI product surface expands.

Main Responsibilities

  • Audit and re-architect CoeurWay's existing monolithic prompts into a modular chain of focused, maintainable prompts — improving robustness, debuggability, and adaptability.

  • Lead the selection, evaluation, and pairing of language models to specific prompt tasks, fostering a model-agnostic approach that reduces vendor dependency and optimizes for quality and cost.

  • Own the quality of AI-generated clinical outputs: define what "good" looks like, identify failure modes, and drive continuous improvement through structured validation processes.

  • Evolve and re-align our existing evaluation framework, currently covering 7 clinical note quality rubrics, improving its coverage, automation potential, and alignment with clinical ground truth.

  • Establish and maintain a systematic approach to output validation, including edge case identification, regression testing for prompt changes, and documentation of known limitations.

  • Design and implement new prompts and evaluation suites to support new features in CoeurWay and MYLE EMR.

  • Collaborate with the GenAIOps to ensure prompts are production-ready — observable, versioned, and deployable through established CI/CD processes.

  • Develop a deep understanding of clinical workflows and the needs of healthcare providers, maintaining close relationships with client-facing teams and end users.

  • Stay current on the rapidly evolving LLM landscape — new models, prompting techniques, evaluation methodologies — and bring relevant findings back to the team.

  • Contribute to internal documentation, standards, and best practices for prompt engineering at MEDFAR.

  • Mentor future prompt designers as the team grows, and participate in hiring decisions as the practice scales.

Working conditions:

  • Contract: Permanent, full time (40h/week)

  • Working mode: Hybrid or remote

    • Occasional in-office presence may be required during the year (for events or team meetings, for example).

    • Candidates must reside in the province of Quebec.

Qualifications

Contribute with your strengths:

  • 5+ years of professional experience in AI/ML, product development, computational linguistics, or a closely related field.

  • 2+ years of hands-on prompt engineering experience in production LLM systems, ideally in a B2B SaaS or regulated industry context.

  • Demonstrable experience decomposing complex prompts into modular, chained architectures (e.g., using patterns such as prompt chaining, routing, reflection, or tool use).

  • Experience designing or significantly improving LLM evaluation frameworks — rubric design, inter-rater alignment, and failure mode analysis.

  • Strong familiarity with frontier commercial LLM APIs (OpenAI, Anthropic, Google, etc.) and the practical tradeoffs between them.

  • Experience working within or alongside healthcare, clinical, or life sciences domains is a strong asset.

  • Proficiency in Python or another scripting language for building eval pipelines or prompt tooling is an asset.

  • Experience with self-hosted or open-weight models is an asset.

  • Advanced proficiency in English, both written and spoken;

  • French is also required due to frequent client interactions

.

Who you are:

  • You understand that great prompt engineering is as much about thinking clearly as it is about technical execution. You break complex problems into focused, well-scoped sub-problems.

  • You are model-agnostic in mindset: you care about output quality and understand that the best tool for a task may not be the most popular or most expensive one.

  • You take clinical accuracy seriously. You appreciate that in a healthcare context, the quality bar is not just about user experience — it has direct implications for patient safety.

  • You are comfortable operating in ambiguity and iterating quickly, while maintaining rigorous documentation of what you've tried and why.

  • You are a strong collaborator who can communicate nuanced AI quality concepts to non-technical stakeholders, clinical users, and developers alike.

  • You have the seniority and judgment to work with significant autonomy, while knowing when to align and escalate.


Additional Information
  • Remote work and flexibility (supporting work-life balance)

  • RRSP contribution

  • Healthcare insurance from day one

  • Paid time off: 3 weeks + 1 additional week between Christmas and New Year

  • Annual training allowance ($1,500) to support your professional development

  • An onboarding program to help you get familiar with our environment and the digital healthcare field

  • All IT equipment is provided, with additional gear if needed

  • Internal growth opportunities (promotions, internal mobility)

  • Support from a wellness and social committee, with initiatives to foster team cohesion, mental health, and employee well-being

  • A company culture focused on transparency, collaboration, and innovation

  • Join a dynamic and innovative environment where your work has a real and wide-reaching impact, helping to modernize healthcare in Canada and internationally

With offices around the world, fluency in both French and English is a must at MEDFAR. Because of the need to communicate with colleagues and/or customers in other provinces or countries, bilingualism enables us to communicate in both languages while promoting the use of French. 

At MEDFAR, we value diversity, equity and inclusion within our team. We are committed to providing a work environment where every individual feels respected and supported, regardless of their background, identity or abilities.As part of our commitment to a fair and inclusive recruitment process, we offer accommodation to candidates who request it. If you need accommodation during your interview, please let us know so that we can provide you with an adapted experience.

MEDFAR has voluntarily subscribed to an Equal Employment Opportunity Program (EEOP). We encourage applications from women, visible minorities, ethnic minorities, aboriginal peoples and people with disabilities. When applying, we invite you to complete this section, which enables us to implement our Equal Employment Opportunity Program (EEOP). Self-identification is not compulsory, but may enable you to benefit from hiring or promotion measures if you have the skills required for the job.

To better understand the self-identification process, please consult this guide.