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TAIRC

Verified Job Source

Advancing Trustworthy, Secure, and Ethical AI for Public Systems.

Dover, Delaware

Research Services
1–10 people

About

The AI Research Center (TAIRC) is an independent, nonprofit research organization advancing trustworthy, safe, and societally beneficial artificial intelligence. We pursue foundational and applied AI research that empowers public systems, informs policy, and accelerates responsible innovation across sectors. Our mission is to generate high-impact AI insights, frameworks, and tools that support ethical governance, public infrastructure, and government and community use cases. TAIRC convenes interdisciplinary expertise in AI safety, policy, ethical governance, and technical innovation to address complex challenges from AI risk mitigation to transparent, equitable AI deployment. Anchored in rigorous research methods and collaborative inquiry, TAIRC bridges academia, government, and industry to advance AI science and public good initiatives. Our work emphasizes open research standards, interdisciplinary peer review, and practical solutions that align with national research priorities and societal needs. Whether contributing to foundational model evaluation, trustworthy AI frameworks, or public sector adoption strategies, TAIRC is dedicated to ensuring AI technologies deliver positive, measurable impact for people and communities worldwide. Interested in contributing to TAIRC? careers@tairc.com - For career, internship, volunteer, and research opportunities.

Open positions

Director of Engineering

On-site

Lead software and hardware engineering teams, delivering projects on time and within budget while turning research prototypes into robust, scalable platforms. Develop engineering strategies and processes, ensure compliance, recruit and mentor technical staff, and align engineering work with organizational goals.

GPU Infrastructure Specialist

On-site · Niagara-on-the-Lake

Set up, configure, and maintain GPU-based servers, while optimizing GPU utilization through multi-GPU training, memory management, and load balancing. Advise researchers on hardware needs for large-scale experiments and monitor hardware health, replacing components as needed.

Privacy Counsel (Data Privacy Lawyer)

On-site · Niagara-on-the-Lake

Advise on data protection laws and compliance, develop privacy policies and programs, assess project privacy risks, and draft or review privacy provisions in contracts. Support breach response and regulator communications, represent the organization in external engagements, and monitor changes in privacy laws.

Director of AI Governance

On-site · Legal

Develop responsible AI governance frameworks and assess technical and societal risks, coordinating with researchers to mitigate them. Oversee ethics and compliance programs, collaborate with legal teams, train staff, and report responsible AI metrics to leadership.

Edge/Systems Engineer

On-site · Niagara-on-the-Lake

Develop and optimize inference systems and models for mobile and edge devices, collaborating with hardware teams to implement efficient solutions. Design reliable systems for limited memory and compute, and protect sensitive data and models on devices.

Director of AI Governance

On-site · Legal

Develop ethical AI governance frameworks and assess technical and societal risks, coordinating with researchers to mitigate them. Oversee compliance and ethics programs, collaborate with legal teams, train staff, and report responsible AI metrics to leadership.

GPU Infrastructure Specialist

On-site · Niagara-on-the-Lake

Set up, configure, and maintain GPU-based servers, while optimizing GPU utilization through multi-GPU training strategies, memory management, and load balancing. Advise researchers on hardware requirements for large-scale experiments and monitor hardware health, replacing components as needed.

Edge/Systems Engineer

On-site · Niagara-on-the-Lake

Develop and optimize inference systems and models for mobile and edge devices, collaborating with hardware teams to implement efficient solutions. Design reliable systems for limited memory and compute, and protect sensitive data and models on devices.

Director of Engineering

On-site

Lead software and hardware engineering teams, manage project delivery, and develop scalable strategies for software development, infrastructure, and integration. Ensure compliance and continuously improve engineering processes while hiring, mentoring, and collaborating with research, product, and organizational leaders.

Director of AI Governance

On-site · Legal

Develop responsible AI governance frameworks and assess technical and societal risks, working with researchers to mitigate them. Oversee ethics and compliance programs, coordinate with legal teams, train staff, and define and report responsible AI metrics to leadership.

Privacy Counsel (Data Privacy Lawyer)

On-site · Niagara-on-the-Lake

Advise on privacy laws and compliance, develop data protection policies and programs, assess privacy risks, and draft or review privacy provisions in contracts. Support breach response and communications with regulators, represent the organization in regulatory matters, and monitor legal developments to keep policies current.

Edge/Systems Engineer

On-site · Niagara-on-the-Lake

Develop and optimize inference systems and models for mobile, edge, and embedded devices with limited memory and computing resources. Collaborate with hardware teams to implement efficient solutions and protect sensitive data and models on devices.

GPU Infrastructure Specialist

On-site · Niagara-on-the-Lake

Set up, configure, and maintain GPU-based servers, and optimize GPU utilization through multi-GPU training, memory management, and load balancing. Advise researchers on hardware needs for large-scale experiments and monitor hardware health, replacing components as needed.

Edge/Systems Engineer

On-site · Niagara-on-the-Lake

Develop and optimize inference systems and models for mobile and edge devices, collaborating with hardware teams to implement efficient solutions. Design reliable systems for limited memory and compute, and protect sensitive data and models on devices.