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Added 8 mins ago
LH
2600002989 - Education Associate
Lakeridge Health
Oshawa, ON
- Internship
" Collaborate with academic partners and internal committees to adjust scheduling and support innovative learning models.
Added 8 mins ago
RC
LTO Teacher - Grade 8 (1.0 FTE)
Renfrew County Catholic District School Board
Pembroke, ON
- Full-time
…offer the opportunity to work collaboratively in a Catholic learning environment that values faith-based education, academic excellence, and student…
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CV
T2627-446 0.80 FTE Temporary Grades K-7 Music & Fine Arts Teacher
Comox Valley Schools - School District 71
Courtenay, BC
- Temporary
Demonstrated experience in creating engaging lessons and learning activities that promote exploration, creativity, and skill development in music, visual arts and other fine arts disciplines
Added 8 mins ago
BE
Term - Grade 1-2 Teacher
Beaufort-Delta Education Council
Aklavik, NT
- Full-time
…community-driven institution that fosters an inclusive and culturally rich learning environment. Grounded in the principles of diversity, equity, inclusion, indigenization, inquiry, and…
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Change Management Lead
Systematix
ON · Ontario, Canada
- $95 to $105 CAD / hour
- Contract
Create or coordinate user guides, quick reference guides, job aids, and e-learning content with functional consultants and subject matter experts.
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GO
Crown Counsel
Government of Manitoba
Winnipeg, MB
- Full-time
Crown Counsel at LSB are members of the Manitoba Association of Crown Attorneys. Compensation is commensurate with experience as set out in the collective agreement. LSB offers a positive…
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WS
Principal - Glenelm School
Winnipeg School Division
Winnipeg, MB
- Full-time
…school is committed to creating a safe, caring, and inclusive learning environment that celebrates student identities, strengths, contributions, and ways of being. Targeted literacy,…
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CV
T2627-445 1.0 FTE District Inclusion Support Teacher - Outreach & Student Engagement
Comox Valley Schools - School District 71
Courtenay, BC
- Full-time
…connection, engagement, well-being, and successful participation in…
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BD
EXT ESP Temporary Child and Youth Worker
Bluewater District School Board
Chesley, ON
- Temporary
Come to Bluewater to experience the trails, sandy beaches, meandering rivers, and welcoming communities. Stay to experience a progressive career path with an employer that is dedicated to…
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OD
FR 100% Elem LTO; Grade 7 French, History/Geography, Arts
Ottawa-Carleton District School Board (OCDSB)
Ottawa, ON
- Full-time
…ethnicities, races, genders and ages to join us as we create learning and working spaces that honour the unceded and unsurrendered land of the Algonquin people, and respect, value and…
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OD
FR 100% Elem LTO, Grade 2 EFI
Ottawa-Carleton District School Board (OCDSB)
Ottawa, ON
- Full-time
…Stittville. Our staff are actively engaged in enriching the student experience academically, via professional development, collaboration and growth, as well as through offering a variety of…
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SD
1.0 FTE (Term) Late French Immersion Classroom Teacher (Grades 5/6/7)
School District #8 (Kootenay Lake)
Canyon, BC
- Full-time
Teachers applying for this position must possess the following attributes:
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SS
French as a Second Language (FSL)
Surrey Schools (School District #36 Surrey)
Surrey, BC
- Full-time
Dedicated to continuous professional development, with a passion for creating and fostering a creative, engaging, and inclusive classroom experience
Added 8 mins ago
BS
Manager, Education Systems & Analytics
Burnaby School District - SD41
Burnaby, BC
- Full-time
…our school facilities. Our District also provides lifelong learning opportunities to more than 6,000 adult learners through the Burnaby Community & Continuing Education…
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OD
FR 5% Elem Contract, Grade 7, History/Geography (Tues 1:30-2:30)
Ottawa-Carleton District School Board (OCDSB)
Ottawa, ON · Nepean, ON
- Contract
…Ontario and offers students and parents a world of choice for learning. Our nearly 150 schools offer a wide range of programs to promote learning excellence and meet the individual needs of…
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CS
T26-277 Temporary, Part-Time (50%) Career Education Instructional Coach K-12 (Secondment)
Chilliwack School District No. 33
Chilliwack, BC
- Part-time
Experience with and ability to design curriculum and deliver innovative programming in an alternate setting - online, distributed learning, Moodle, D2L - Brightspace
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AI
Emerging Leader
American Iron and Metal
Hamilton, ON
- Full-time
Learning the ins and outs of overseeing a feeder yard site
Added 8 mins ago
UO
Assistant Professor of Teaching - Physics and Astronomy
University of British Columbia
Vancouver, BC · UBCV | Hennings Building (HENN)
- Full-time
…per year. Salary will be commensurate with qualifications and…
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T
Contact Centre Representative – TD Auto Finance, Customer Service Specialist
TD
Brossard, QC
- Full-time
…and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary…
Added 8 mins ago
T
Contact Centre Representative – TD Auto Finance, Customer Service Specialist
TD
Toronto, ON
- Full-time
…and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary…
Added 8 mins ago
T
Senior Treasury Asset and Liability Management Analyst
TD
Toronto, ON
- Full-time
…and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary…
Added 8 mins ago
S
Multicultural Growth Analyst
Sysco
Toronto, ON · Sysco Toronto
- Full-time
2 to 5 years of experience in business analysis, sales support, category management, merchandising, customer onboarding, commercial operations, or a related field.
Added 8 mins ago
Retail Sales & Delivery Associate
Fire & Flower Inc.
Toronto, ON
The Retail Sales & Delivery Associate plays a dual role in delivering a consistent and elevated guest experience across both the retail floor and scheduled deliveries. This position is…
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Delivery Driver
Fire & Flower Inc.
Aurora, ON
…ensuring compliance with company standards and a professional experience at the door. This role serves as a key brand ambassador in the final stage of the customer journey. When not on…
Added 8 mins ago
Retail Experience Lead
Fire & Flower Inc.
Ottawa, ON
The Retail Experience Lead is responsible for opening and closing duties, overseeing daily operations, and supervising staff during an assigned shift.

AI Safety Lab Lead

Ottawa, ON, Canada

The intent of this hiring action is to staff this position at the RCO-3 to RCO-4 level, which is a mid-career level position with a salary range of $119,688 to $168,192.

Apply on recruitment-recrutement.nrc-cnrc.gc.ca About employer

Applications open in a new tab.

Job details

Pay: The intent of this hiring action is to staff this position at the RCO-3 to RCO-4 level, which is a mid-career level position with a salary range of $119,688 to $168,192.
Apply by: Nov 21, 2026
Posting language: English
Posted: May 22, 2026

Original job description

Priority may be given to the following designated employment equity groups: women, Indigenous Peoples* (First Nations, Inuit and Métis), persons with disabilities and racialized persons*.

* The Employment Equity Act, which is under review, uses the terminology Aboriginal peoples and visible minorities.

Candidates are asked to self-declare when applying to this hiring process.

City: Ottawa

Organizational Unit: Digital Technologies

Classification: RCO

Tenure: Continuing

Language Requirements: Bilingual Imperative CBC/CBC

Work arrangements:

Due to the nature of the work and operational requirements, this position may be eligible for a limited hybrid work arrangement (combination of working onsite and telework).

At the NRC, we recognize that Indigenous candidates may have important connections to their communities and you may be eligible for an exception to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more about these options, please contact the NRC Hiring team using the contact information below.

Note: This position is being re-posted. If you had previously applied to competition, there is no need to re-apply.

Discover the possible

Anything is possible at the NRC, named in 2025 one of Canada’s Top Employers for Young People, Top Employer in the National Capital Region and Forbes Canada’s Best Employers!

As Canada’s largest research and innovation organization, our world-renowned research pushes the boundaries of science and engineering to make the impossible, possible. Every day we explore new ideas through innovative research and help companies discover possibilities that impact Canada’s future and the world.

At the NRC, you’ll also discover new possibilities. Our supportive workplace fosters a culture of creativity, welcoming fresh perspectives and innovation at all levels. We value teamwork. You’ll collaborate across multiple fields and with the brightest minds to find creative solutions. Most importantly, you’ll discover what’s possible within you as you grow, make valuable contributions and progress in your professional journey. From ground-breaking discoveries to a life-changing career, discover your possible at the NRC.

The role

Are you passionate about safe and responsible AI? Do you want to be part of a pioneering team shaping how AI systems are evaluated, measured, and deployed safely? Do you want your work to have a real impact for Canada and Canadians? If so, we want to meet you!

We are seeking a mid‑career RCO‑04 to establish and lead the NRC’s AI Safety Lab, a new capability funded by the Canadian AI Safety Institute (CAISI) and dedicated to evaluating the safety of advanced AI systems. You will be part of a pioneering team conducting rigorous AI safety evaluations and translating technical results into actionable tools, guidance, and recommendations for AI practitioners and policymakers across government and beyond.

Under the guidance of the Principal Advisor for AI Safety, and as part of the Chief Digital Research Officer’s team, you will play a central role in building and operating a scalable AI safety evaluation infrastructure. In collaboration with leading experts from our Digital Technologies Research Centre, you will design, execute, and monitor advanced evaluations at scale on frontier AI models, and contribute to cutting‑edge AI safety research carried out by the NRC in collaboration with CAISI partners nationally and internationally.

Key Responsibilities include:

Establish and manage a multidisciplinary team of AI safety specialists forming the lab.
Build and leverage state-of-the-art model evaluation infrastructure and frameworks.
Work with AI safety researchers from the NRC and CAISI partners in designing, running and documenting AI safety evaluations.
Establish and steward standardized, reproducible safety evaluation protocols.
Develop and curate new AI safety benchmarks.
Translate technical findings into practical solutions and advice, such as new tools for evaluators/developers, or recommendations to policy makers.

The ideal candidate would have:

A track record of building and managing AI teams.
Hands-on experience evaluating frontier AI models using safety evaluation frameworks (e.g., Inspect, Moonshot).
A strong background in compute cluster operations and scalable ML infrastructure.
Experience designing reproducible evaluation protocols and benchmarks.
Experience translating research into practical tools, guidance, or policy recommendations.
The ability to collaborate across research, government, and international partners.
Strong analytical judgment and initiative.
Clear communication skills across technical and non-technical audiences.

Screening criteria

Applicants must demonstrate within the content of their application that they meet the following screening criteria in order to be given further consideration as candidates:

Education

Master’s degree from a recognized university in Statistics, Data Science, Computer Science or Engineering, or closely related to the position.

Equivalency

In lieu of a master degree, a combination of a Bachelor’s degree with at least 2 years of directly relevant professional experience in applied AI or AI evaluation may be considered.

For information on certificates and diplomas issued abroad, please see Degree equivalency

Experience

You must meet the essential experience criteria and at least two of the Specialised Experience to move forward in this process.

Essential Experience

Recent* experience leading or managing technical teams in an AI/ML, data analytics, or digital technologies environment.
Recent* experience evaluating, benchmarking, or red-teaming AI models (open-source or closed-source) or AI systems.
Experience in managing AI/ML or data analytics projects for government or industry clients.
Experience developing Python-based tooling and automation for ML/AI workflows.
Experience in documenting experimental AI results through technical reports, internal documentation, or scientific publications.

*Recent is defined as within the last 3 years.

Specialised Experience

Experience with red-teaming workflows, adversarial testing, or stress-testing of AI systems (including agentic systems).
Experience with compute clusters and job orchestration (e.g., SLURM).
Experience with ML experiment tracking tools (e.g., MLflow, Weights & Biases).
Experience developing or curating AI benchmark datasets and associated documentation (e.g., through HuggingFace).
Experience translating AI research into practical tools, guidance, or policy recommendations.
Experience conducting AI projects with researchers or through international collaboration.

Condition of employment

Secret clearance

A thorough security clearance process will be applied.

For a Secret Clearance, verification of background information over a period of 10 years is required. Individuals must have lived in Canada for a sufficient period of time to enable the security screening process.

Language requirements

Bilingual Imperative CBC/CBC

Information on language requirements and self-assessment tests

Assessment criteria

Candidates will be assessed on the basis of the following criteria:

Technical competencies

Ability to lead the development of reproducible evaluation protocols and benchmarks for frontier AI models and systems.
Ability to communicate complex technical findings clearly to researchers, government stakeholders, and policy audiences.
Knowledge of AI safety concepts, risk taxonomies, or governance frameworks (e.g., TBS guidelines, NIST AI Risk Management Framework) and their connection to technical evaluation.
Ability to design and oversee scalable AI evaluation infrastructure across on-premises and cloud environments.
Knowledge of AI safety evaluation frameworks (e.g., Inspect AI, Moonshot) and their application to frontier model assessment.
Ability to make sound technical decisions when configuring evaluations across different model types, balancing compute budgets, reproducibility, and result validity.
Ability to manage and prioritize competing technical workstreams across a multidisciplinary team.
Knowledge of agentic AI architectures and how design choices such as tool access, memory, and planning affect safety-relevant behaviours.
Ability to design experiment tracking and data management workflows that support reproducibility across multiple researchers and evaluation campaigns.

Behavioural competencies

Research - Communication (Level 3)
Research - Results orientation (Level 3)
Supervisor - Client focus (Level 2)
Supervisor - Teamwork (Level 3)
Supervisor - Organizational/environmental awareness (Level 2)
Management services - Conceptual and analytical ability (Level 3)

Competency Profile(s)

For this position, the NRC will evaluate candidates using the following competency profile(s): Management Services; Research; Supervisor

View all competency profiles

Compensation

This position is classified as a Research Council Officer (RCO), a group that is unique to the NRC. The intent of this hiring action is to staff this position at the RCO-3 to RCO-4 level, which is a mid-career level position with a salary range of $119,688 to $168,192.

NOTE: Please note that the full RO/RCO salary scale has five levels. Salary determination will be based on a review of the candidate’s expertise, outcomes and impacts of their previous work experience relative to the requirements of the level. As such, the initial salary could be within another level of the RO/RCO salary scale (i.e. above or below the intended level for this position).

In addition, the incumbent will receive the Bilingualism Bonus of $800 per year.

NRC employees enjoy a wide-range of competitive benefits including a robust pension plan, comprehensive health and dental coverage, disability and life insurance, office closure at the end of December, and additional supports to enhance your well-being throughout your career and beyond.

Notes

Relocation assistance will be determined in accordance with the NRC's directives.
A pre-qualified list may be established for similar positions for a one year period.
Preference will be given to Canadian citizens and permanent residents of Canada. Please include citizenship information in your application.
The incumbent must adhere to safe workplace practices at all times.
We thank all those who apply, however only those selected for further consideration will be contacted.

Please direct your questions, with the requisition number (25409) to:

E-mail: NRC.NRCHiring-EmbaucheCNRC.CNRC@nrc-cnrc.gc.ca

Telephone: 3439909603

Closing Date: 20 November 2026 - 23:59 Eastern Time

For more information on career tools and other resources, check out Career tools and resources

*If you are currently a term or continuing employee at NRC, please apply through the SuccessFactors Careers module from your NRC computer.

Apply on recruitment-recrutement.nrc-cnrc.gc.ca About employer

More about this job

Responsibilities

Establish and lead a multidisciplinary AI Safety Lab, building scalable evaluation infrastructure and standardized, reproducible protocols for assessing advanced AI models. Coordinate evaluations and research with NRC and CAISI partners, develop benchmarks, and translate technical findings into practical tools, guidance, and policy recommendations.

Requirements

Applicants need a master’s degree in a relevant field, or a bachelor’s degree plus at least two years of directly relevant experience, and must meet the essential experience criteria plus at least two specialized criteria. Requirements include recent AI/ML team leadership and model evaluation experience, Python-based tooling, project management and technical documentation, as well as Secret clearance and bilingual CBC/CBC language proficiency.

Skills

AI Safety Evaluation
AI Model Red-Teaming
Team Leadership
Python
Machine Learning Infrastructure
Compute Cluster Operations
SLURM
AI Benchmark Development
Reproducible Evaluation Protocols
Inspect AI
Moonshot
MLflow
Weights & Biases
Agentic AI
Research Translation
Technical Communication

Benefits

Bilingualism Bonus
Pension Plan
Health Coverage
Dental Coverage
Disability Insurance
Life Insurance
Office Closure At The End Of December
Relocation Assistance

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
AI Safety
Frontier AI Models
AI Model Evaluation
Red-Teaming
Adversarial Testing
Stress Testing
Agentic AI
Machine Learning
Python
Scalable ML Infrastructure
Compute Clusters
SLURM
Inspect AI
Moonshot
MLflow
Weights & Biases
AI Benchmarks
Reproducibility
Experiment Tracking
Data Management
Cloud Environments
On-Premises Infrastructure
AI Risk Taxonomies
NIST AI Risk Management Framework
Government Policy
International Collaboration
Technical Reports
Secret Clearance
Bilingual CBC/CBC

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Work requirements

Jobs in Canada