Work involves applying cloud infrastructure and platform engineering expertise to train next-generation AI systems.
Responsibilities include creating realistic cloud infrastructure tasks, building reproducible environments, defining measurable requirements, and developing various tests.
Requirements:
Senior-level experience in cloud infrastructure, platform engineering, DevOps, systems engineering, or SRE.
Strong knowledge of distributed systems, scalable APIs, and security practices.
Practical experience with IAM, observability, and disaster recovery.
Ability to write automation or testing tools and debug containerized environments.
Benefits:
Compensation is output-based, paid per task meeting project specifications.
Flexible start timeline; roles typically filled within 48 hours, with tasks starting within 24–48 hours of onboarding.