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Senior Technical Architect for AI Training

$24–$48/hr

RemoteContracttechnology
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About this role

Role Overview

Apply senior platform engineering expertise to create real-world technical environments that help evaluate and improve next-generation AI systems. You will design production-grade cloud infrastructure scenarios that assess an AI model''s ability to deploy, troubleshoot, secure, scale, and recover distributed systems. AI experience is not required, hands-on production expertise is the priority.

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 work 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, multi-cloud infrastructure, internal developer platforms, edge infrastructure, shared platform services, chaos engineering, fault injection, local cloud emulators, or resilience testing is preferred.
  • Experience creating technical evaluations, automated grading systems, or AI environments is helpful but not required.

Work Terms

  • Remote independent contractor engagement.
  • Minimum weekly task-submission requirements apply.
  • Selected candidates are expected to begin their first tasks within 24 to 48 hours after completing onboarding.

Compensation

Compensation is listed at $60 to $130 per hour. Payment is output-based and made per task that meets project specifications. Time to complete work varies based on experience and workflow.

Application Process

  • Submit an application and complete the screening questions.
  • Complete an approximately 30-minute AI interview reviewed by recruiters.
  • Proceed to hiring-manager review.

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