About this role
Role Overview
Shape next-generation AI systems through practical platform engineering expertise. As an independent contractor working remotely, you will author realistic reinforcement-learning environments that evaluate how AI models design, deploy, troubleshoot, secure, scale, and recover production-grade cloud infrastructure. Prior AI experience is not required; hands-on production engineering experience is the focus.
Key Responsibilities
- Create realistic cloud infrastructure tasks covering distributed systems, networking, security, scalability, and reliability.
- Develop scenarios involving IAM, queues, durable storage, observability, rolling deployments, and disaster recovery.
- Build reproducible, containerized environments with reference solutions and intentionally defective variants.
- Define measurable requirements for infrastructure configuration, deployed topology, and runtime behavior.
- Develop deterministic integration, load, security, failure-injection, deployment, and recovery tests.
- Debug environments, document technical decisions, and review tasks created by other experts.
Qualifications
- Senior-level experience in technical architecture, cloud infrastructure, platform engineering, DevOps, systems engineering, or SRE, including ownership of a production platform.
- Strong knowledge of distributed systems, scalable APIs, queues, autoscaling, durable storage, and partial-failure scenarios.
- Practical experience with IAM, private networking, least-privilege access, and service-to-service security.
- Experience with observability, measurable SLOs, rolling deployments, rollback strategies, and disaster recovery.
- Ability to write infrastructure automation or testing tools and debug containerized environments using a relevant programming language.
- Experience with Terraform or OpenTofu, AWS, Azure, GCP, Kubernetes, or multi-cloud infrastructure is preferred.
- Experience building internal developer platforms, edge infrastructure, shared platform services, chaos engineering, fault injection, local cloud emulators, resilience testing, technical evaluations, automated grading systems, or AI environments is helpful.
Work Terms
- Remote, independent contractor engagement.
- Work is task-based, and the time needed may vary based on experience and workflow.
- Minimum submission requirements apply, including a required minimum number of task submissions each week.
- Selected candidates are expected to begin their first tasks within 24 to 48 hours after completing onboarding.
Compensation
Pay ranges from $60 to $130 per hour. Compensation is output-based and paid for tasks that meet project specifications.
Application Process
- Submit an application and complete screening questions.
- Complete an AI interview of approximately 30 minutes, followed by recruiter review.
- Proceed to hiring manager review.