Remote Software Engineering Expert - AI Trainer ($160-$180 per hour)

Mercor is hiring on behalf of a leading AI lab to bring on Software Engineers to work across key infrastructure and developer experience initiatives. This is a high impact role focused on improving internal tooling, reliability, and infrastructure velocity. You will collaborate closely with engineering teams to build scalable systems, improve developer workflows, and standardise infrastructure practices.

• Work-streams ### 1\. Developer Experience (CI / Infra Reliability) - Improve CI performance, reliability, and observability - Build runner autoscaling and system hardening - Implement alerting and notification systems - Increase visibility into CI pipelines and failures * * * ### 2\. Developer Experience (CLI & Tooling) - Enhance CLI usability and discoverability - Build telemetry, observability, and performance improvements for CLI tools - Improve SDK / shared library ergonomics (stable APIs, versioning, templates) - Develop tooling insights (e.g., usage visibility) * * * ### 3\. IT Systems / SaaS & Procurement - Manage and optimise SaaS tools and configurations - Build systems for procurement intake and vendor inventory - Implement and maintain : - Google Workspace administration - SAML-based SSO - SCIM provisioning with RBAC controls * * * ### 4\. Infrastructure “Paved Roads” (Pulumi / IaC) - Build reusable Pulumi modules and service templates - Standardise baseline infrastructure stacks (logging, monitoring, tagging, budgets) - Reduce drift and copy-paste infra patterns - Add safety checks and guardrails for faster, safer deployments * * * ## Requirements - Strong proficiency in Python - Experience with backend systems, infrastructure, or developer tooling - Familiarity with at least one relevant area : - CI / CD systems (e.g., GitHub Actions, Buildkite, etc.) - CLI tooling and developer platforms - SaaS / IT systems (SSO, identity, provisioning) - Infrastructure-as-Code (Pulumi, Terraform, etc.) - Ability to work independently in a fast-paced environment - Strong problem-solving and systems thinking * * * ## Availability & Collaboration - Commitment : ~20 hours per week - Must be available for 2 × 45-minute syncs weekly - Scheduled during PST work hours (Monday & Thursday) * * * ## Why Join - Work with a cutting-edge AI lab on foundational engineering systems - High ownership across critical infrastructure and developer experience layers - Flexible, part-time engagement with meaningful technical impact - Opportunity to shape systems used by top-tier engineering teams