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Responsibilities:
- Apply cloud infrastructure and platform engineering expertise to train next-generation AI systems.
- Create realistic cloud infrastructure tasks involving distributed systems, networking, security, scalability, and reliability.
- Build reproducible, containerized environments with valid reference solutions and intentionally defective variants.
Qualifications:
- Senior-level cloud infrastructure, platform engineering, DevOps, systems engineering, or SRE experience.
- 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.
Compensation:
- Compensation is output-based; experts are paid per task that meets the project specifications.
- Minimum submission requirements apply.
- Experts must submit a minimum of tasks per week.
Not Specified
Our client is a rapidly growing, venture-backed AI company helping shape the next generation of intelligent systems. Backed by more than $40 million in funding and supported by a rapidly expanding international network of experts, the company is building critical human intelligence infrastructure for the AI economy.