An older role: first posted 39d ago, and AI expert network still listed it when we checked today. Newer roles tend to fill faster. See the jobs hiring now.
What the work is
Evaluate the quality, correctness, and cloud-architecture soundness of AWS serverless and infrastructure-as-code tasks used to train and evaluate a frontier AI lab's models. You'll assess multi-service serverless designs, IaC fidelity, and cross-service integration correctness — and provide clear, rubric-based written feedback.
Basic Qualifications
- 3+ years hands-on experience building multi-service AWS serverless applications (Lambda, API Gateway, DynamoDB/Streams, S3, EventBridge, SNS/SQS, Step Functions)
- Strong experience with infrastructure-as-code (AWS CDK, CloudFormation, or SAM)
- Demonstrated ability to assess event-driven architecture correctness, IAM/permission boundaries, and failure/retry semantics
- Familiarity with local emulation/testing fidelity (e.g., LocalStack) versus real AWS behavior
Preferred Qualifications
- AWS certifications (Solutions Architect / Developer)
- Experience with observability and cost-optimization for serverless workloads
- Prior code-review or task-grading experience
Pay
$70–90/hr, fully remote.