Wholesale Trade Expert
Turing • Remote • Posted 30 days ago
Education
Any
Type
Pay Rate
$55/task
Posted
30d ago
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About this Role
Role Overview We are looking for a highly skilled Technical Architect / Cloud Architect to design, build, and scale secure, multi-cloud distributed systems. This role requires deep expertise in cloud-native architecture, Kubernetes, networking, and modern platform engineering practices. You will drive architecture decisions, enforce best practices, and collaborate with engineering teams to deliver resilient, scalable, and secure systems. Key Responsibilities Design and implement cloud-native, multi-cloud architectures (AWS / Azure / GCP) Define and enforce infrastructure-as-code (IaC) and platform engineering standards Architect and manage Kubernetes-based platforms (EKS / AKS / GKE) Lead networking design including VPCs, security groups, service mesh, and eBPF-based observability Implement zero-trust security models and policy enforcement across systems Drive observability strategy (metrics, logs, traces) across distributed systems Design scalable data architectures (OLTP, caching, distributed databases) • Define and govern API architecture standards (REST, async, event-driven) • Collaborate with cross-functional teams (DevOps, Security, Backend, Data) • Mentor engineers and guide technical decision-making Key Responsibilities Architect multi-cloud, cloud-native systems Lead Kubernetes platform design (EKS/AKS/GKE) Define IaC standards (Terraform/OpenTofu, Crossplane) Design secure networking & zero-trust architectures Implement observability (OpenTelemetry, Grafana stack) • Drive API & event-driven architecture standards • Mentor teams and guide technical decisions Must-Have Skills • Terraform/OpenTofu, Crossplane • Kubernetes, Helm, Kustomize • Cilium (eBPF), VPC & networking design • Kyverno, Zero Trust security • OpenTelemetry, Grafana (Loki, Tempo, Mimir) • PostgreSQL/Aurora, Redis, S3 • REST/OpenAPI, event-driven systems Nice to Have • Pulumi, Istio, OPA/Gatekeeper • gRPC, MCP/A2A • pgvector, YugabyteDB • Datadog, eBPF instrumentation
Requirements
- Must be eligible to work in Remote
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
- Bachelor's degree or equivalent professional experience
- Demonstrated expertise in STEM
Compensation Analysis
Shape the "brain" of future AI. By working as a Wholesale Trade Expert, you ensure that future models understand the nuance of your field. At $55/hr, it's a lucrative way to preserve the integrity of your profession in the digital age.
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Frequently Asked Questions
Do I need to be a software engineer?
Not anymore. Turing built its reputation matching senior engineers with Silicon Valley companies, but they have heavily pivoted into AGI infrastructure. They now hire non-engineering domain experts, technical writers, and researchers for post-training data annotation and RLHF. A strong analytical background and excellent English are required, but you do not need to code.
How does matching work?
Turing calls it the 'Intelligent Talent Cloud.' You build a profile and go through deep vetting — automated tests, an AI-powered interview, and practical skill assessments. Once vetted, Turing's algorithm automatically surfaces you to partner companies (Fortune 500s and top AI labs). You don't browse job boards or bid on work — matches come to you.
How does payment work?
You are hired as an independent contractor, responsible for your own local taxes. Turing collects payment from the client and pays you monthly in USD via Deel, Payoneer, or direct bank/wire transfer. Monthly pay is standard for long-term contract roles — if you need weekly cash flow, this structure requires adjustment.
Is this just labeling data?
No. This is closer to academic research. You will likely be writing or verifying complex proofs, solving advanced equations, or checking the logic of a model's step-by-step reasoning. The goal is to teach AI systems to reason deeply in your field.
Do I need a PhD?
For the highest pay tiers in this category, a PhD (or current enrollment) is usually expected. However, the most important factor is your ability to pass the domain assessment. If you can solve the problems, the degree is secondary.
Is the work continuous?
Work in niche fields is often project-based. A specific "campaign" (e.g., training a model on Quantum Mechanics) might last for a few weeks. It is best to treat this as a high-paying fellowship or grant rather than a permanent daily job.