Thriveth

The AI job market, made clearer

Find work worth
your expertise.

Back to all jobs

AWS Serverless & Infrastructure-as-Code Task Auditor

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.

United States
Hiring companyMercor
Application processN/ANo approved reviews yet
Work experienceN/ANo approved reviews yet

About the role

Contract and Payment Terms

  • You will be engaged as an independent contractor.
  • This is a fully remote role that can be completed on your own schedule.
  • Projects can be extended, shortened, or concluded early depending on needs and performance.
  • Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.

Responsibilities

  • You'll assess multi-service serverless designs, IaC fidelity, and cross-service integration correctness — and provide clear, rubric-based written feedback.

Required skills

  • 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 skills

  • AWS certifications (Solutions Architect / Developer).
  • Experience with observability and cost-optimization for serverless workloads.
  • Prior code-review or task-grading experience.

Eligibility

Work arrangement: Fully remote

Eligible countries: United States

  • Please note: We are unable to support H1-B or STEM OPT candidates at this time.

Compensation details

  • Payments are weekly on Stripe or Wise based on services rendered.
More about the hiring companyMercor
Find AI-training work. Know what to expect.

Thriveth makes AI data-training work easier to find, understand, and navigate. We replace uncertainty with clear opportunities, realistic expectations, and insights from real application journeys.