Senior Technical Architect for AI Training
$60 - $130 per hourSaidGig
Role Overview
Apply hands-on platform engineering expertise to help train next-generation AI systems through high-quality, real-world infrastructure scenarios. You will create reinforcement learning environments that assess an AI model''s ability to design, deploy, troubleshoot, secure, scale, and recover production-grade cloud infrastructure. Prior AI experience is not required, your production engineering expertise 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 valid 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 personal 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.
Preferred Qualifications
- Experience with Terraform or OpenTofu.
- Experience with AWS, Azure, GCP, Kubernetes, or multi-cloud infrastructure.
- Experience building internal developer platforms, edge infrastructure, or shared platform services.
- Experience with chaos engineering, fault injection, local cloud emulators, or resilience testing.
- Experience creating technical evaluations, automated grading systems, or AI environments is helpful but not required.
Work Terms
- Remote independent contractor engagement.
- Work is output-based and requires a minimum number of task submissions each week.
- Time required may vary based on your experience and workflow. Minimum submission requirements apply.
Compensation
- $60 to $130 per hour.
- Compensation is paid per task that meets project specifications.
Application Process
- Submit an application and complete the screening questions.
- Complete an approximately 30-minute AI interview, which is reviewed by recruiters.
- Selected candidates proceed to hiring manager review.
Vacancy posted more than 2 months ago
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