Data annotation job
AWS Serverless & Infrastructure-as-Code Task Auditor
Mercor · Posted 2 months ago
- AI evaluation
About this role
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
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Mercor is an AI-native talent marketplace connecting vetted domain experts such as doctors, lawyers, and engineers directly with frontier AI labs for RLHF, evaluation, and specialized training data at massive scale. See all Mercor jobs.
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