This is a fully remote position , open to candidates based in Canada.

Pay: $50$100/hr Role Title: Senior Backend Engineer Role Type: Contractor (20 hrs perweek) Location: Remote We are engaging Senior Backend Engineers to participate in an advanced project for a customer, focused on creating sophisticated Reinforcement Learning Environments for AI model training and evaluation.

In this role, you''ll apply your expertise to help train next-generation AI systems.

Your work will shape how models learn, reason, and perform through high-quality, real-world input.

No prior experience in AI is required your domain knowledge is what matters.

As an expert, you will create Reinforcement Learning Environments that test an AI models ability to design, deploy, troubleshoot, secure, scale, and recover production-grade cloud infrastructure.

You will develop realistic scenarios involving distributed systems, networking, IAM, queues, durable storage, observability, rolling deployments, and disaster recovery, then build reproducible environments, deterministic validation tests, golden reference solutions, and intentionally defective variants.

Scope of Work Design, develop, and implement realistic cloud infrastructure environments to evaluate AI model proficiency in systems design, deployment, and troubleshooting.

Create detailed and reproducible scenarios involving distributed systems, networking, Identity and Access Management (IAM), message queues, persistent storage, observability, rolling deployments, and disaster recovery.

Develop deterministic validation tests and golden reference solutions to ensure the reliability and accuracy of reinforcement learning environments.





Produce intentionally defective variants and failure scenarios to rigorously test AI model responses and recovery strategies.

Document the architecture, edge cases, and operational flows for all developed environments, ensuring clarity and reproducibility for future use.

Collaborate with technical leads and project participants to iteratively refine environment specifications and acceptance criteria.

Apply Dev

Ops and infrastructure automation practices to deliver scalable, secure, and maintainable solutions for cloud-based systems evaluation.

Preferred Qualifications Proven expertise with backend programming languages, such as C++, Python, Rust, GoLang, JAVA, or Java

Script.

Robust practical experience with Dev

Ops, cloud infrastructure, CI/CD pipelines, and automation tools.

Demonstrated ability to architect, scale, and secure distributed systems in production-grade environments.

Deep understanding of networking, IAM, queues, durable storage, and disaster recovery concepts.

Process: Apply to the role, filling out the screening questions Complete AI interview (aprox. 30 minutes), reviewed by recruiters) Hiring Manager review Compensation Structure Compensation is output-based; experts are paid per task that meets the project specifications.

The time required to complete work may vary depending on the experts experience and workflow.

Minimum submission requirements apply.

Experts must submit a minimum of tasks per week.

Start Timeline & Availability We typically fill roles within 48 hours and are looking for experts ready to jump in right away.

If selected, we expect you to start your first tasks within 2448 hours of completing onboarding.

How to apply Apply here with your Indeed profile.

We will then email you a link to complete your application on the hiring platform your application is only considered once that final step is done.

📌 Senior Backend Engineer (Toronto)
🏢 RemoteJobsOne
📍 Toronto