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Openai Remote Jobs in Quebec (NOW HIRING)

Openai Remote information

What is the difference between Openai Remote vs Data Scientist?

AspectOpenai RemoteData Scientist
Required CredentialsTypically requires knowledge of AI, machine learning, programming (Python), and sometimes a relevant degreeRequires a degree in statistics, computer science, or related fields; proficiency in data analysis tools
Work EnvironmentRemote, collaborative online platforms, flexible hoursOften remote or in-office, collaborative teams, project-based work
Industry UsageAI research, tech companies, startupsTech, finance, healthcare, consulting
Common Search & ComparisonYesYes

Openai Remote roles focus on AI and machine learning tasks, often requiring programming skills and familiarity with AI tools. Data Scientists analyze data to inform business decisions, requiring statistical and analytical expertise. While both roles may be remote and involve data or AI, Openai Remote positions are more specialized in AI development, whereas Data Scientists focus on data analysis across various industries.

Who owns 51% of OpenAI?

OpenAI is a private company with a mixed ownership structure. As of now, no individual or entity owns 51% of OpenAI; it is primarily owned by its founders, employees, and investors. The organization operates as a capped-profit company focused on AI research and development.

What are some common challenges faced by employees working remotely at OpenAI, and how does the company support remote team collaboration?

Remote employees at OpenAI often face challenges such as maintaining clear communication across time zones, building strong connections with colleagues, and staying engaged with fast-paced project updates. To address these, OpenAI utilizes a range of collaboration tools, holds regular virtual meetings, and fosters a culture of transparency and support. The company also encourages asynchronous communication and provides resources to help remote team members feel included and aligned with organizational goals.

How hard is it to get hired by OpenAI?

Getting hired for an OpenAI remote position typically requires a strong background in relevant fields such as machine learning, AI research, or software engineering, along with demonstrated technical skills and experience. The application process often involves multiple interview stages, including technical assessments and behavioral interviews, making it competitive for qualified candidates.

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

To thrive as an OpenAI Remote employee, you generally need strong expertise in artificial intelligence, machine learning, or software engineering, often supported by an advanced degree or significant industry experience. Familiarity with tools such as Python, PyTorch or TensorFlow, as well as version control systems like Git, is typically required. Exceptional communication, self-motivation, and the ability to collaborate effectively across time zones are crucial soft skills in a remote environment. These competencies ensure high productivity, seamless teamwork, and the ability to drive innovation in a distributed, fast-evolving field.

What are OpenAI remote jobs?

OpenAI remote jobs are positions offered by OpenAI that allow employees to work from locations outside of a traditional office setting. These roles can span a variety of fields such as research, engineering, operations, and more, enabling team members to collaborate virtually from anywhere in the world. OpenAI supports a flexible work environment and seeks to attract talent globally by offering remote opportunities. Applicants are still expected to meet certain criteria, such as time zone compatibility and strong communication skills. Remote employees typically interact with their teams through digital tools and regular virtual meetings.

How can I make 2000 a week working from home?

To make $2000 a week working from home in a role like OpenAI remote work, you typically need to have specialized skills, such as AI development, data analysis, or technical writing, and often work as a freelancer, consultant, or in a high-paying remote position. Building a strong portfolio, gaining relevant certifications, and leveraging platforms that connect remote professionals can help increase earning potential. Consistent high-quality work and expanding your client base are key to reaching this income level.

Does OpenAI offer anything remote?

OpenAI offers remote job opportunities, including roles like OpenAI Remote positions, which often involve collaboration using online tools and require strong communication skills. These roles typically support flexible schedules and may require familiarity with AI technologies and remote work best practices.
What are popular job titles related to Openai Remote jobs in Quebec? For Openai Remote jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Openai Remote jobs in Quebec look for? The top searched job categories for Openai Remote jobs in Quebec are:
Infographic showing various Openai Remote job openings in Quebec as of July 2026, with employment types broken down into 2% Locum Tenens, 6% As Needed, 82% Full Time, 3% Part Time, 3% Contract, and 4% Nights. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution.

Generative AI (GenAI) | Prompt Engineer

Medfar

Montreal, QC • On-site, Remote

Full-time

Medical, PTO

Posted 24 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.