ContractRemoteExpired

Developer & Infrastructure Expert

micro1 is engaging Developer & Infrastructure Experts to contribute to a customer project evaluating AI-powered developer and infrastructure workflows. You'll apply expertise across DevOps, cloud infrastructure, site reliability engineering, platform engineering, CI/CD, containers, infrastructure as code, and AI-assisted development to test real-world workflows and help train next-generation AI systems.

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Salary

USD30 - USD80 / HOUR

Department

DevOps & Infrastructure

Experience

Experienced

Responsibilities

Test and validate AI-assisted workflows for developer and infrastructure tasks using GitHub, GitLab, JIRA, AWS, Azure, GCP, Kubernetes, Docker, and Terraform.
Assess the accuracy and relevance of AI-generated commands, configurations, and outputs in cloud and platform engineering contexts.
Document observations, identify discrepancies, and provide detailed feedback based on professional experience.
Evaluate how effectively AI agents interact with connected platforms and workplace tools such as Slack, Google Drive, and Microsoft 365.
Collaborate asynchronously through written evaluations and virtual discussions to clarify workflow requirements.
Recommend improvements and identify potential issues in AI-driven processes with a focus on real-world applicability and industry standards.
Maintain clear written and verbal communication when providing feedback to project stakeholders.

Skills

Azure DevOpsCloud InfrastructureSite Reliability EngineeringPlatform EngineeringAWSAzureGoogle Cloud PlatformKubernetesDockerTerraformCI/CDGitHubGitLabJIRAObservabilityAI AgentsChatGPTClaude CodeClaude CoworkCodexWorkplace ConnectorsInfrastructure as Code

Requirements

Proven expertise in software engineering, DevOps, site reliability engineering, cloud, platform engineering, or infrastructure.
Hands-on experience with Azure DevOps, AWS, GCP, Kubernetes, Docker, Terraform, CI/CD tools, and observability frameworks.
Familiarity with developer and workflow platforms such as GitHub, GitLab, and JIRA.
Professional experience using AI agents such as ChatGPT, Claude Code, Claude Cowork, or Codex with development and infrastructure tools.
Demonstrated ability to evaluate technical processes and provide actionable feedback.
Strong written and verbal communication skills with an emphasis on clarity and thoroughness.
Experience with workplace connectors, integrations, or automation tools is advantageous.

Benefits

Fully remote contractor opportunity.
Compensation of $30–$80 per hour.
Opportunity to evaluate modern AI-powered developer and infrastructure workflows.
Work with cloud, DevOps, platform engineering, and AI agent technologies.
No prior AI training project experience required.

Developer & Infrastructure Expert

Responsibilities

Test and validate AI-assisted workflows for developer and infrastructure tasks using GitHub, GitLab, JIRA, AWS, Azure, GCP, Kubernetes, Docker, and Terraform.

Assess the accuracy and relevance of AI-generated commands, configurations, and outputs in cloud and platform engineering contexts.

Document observations, identify discrepancies, and provide detailed feedback based on professional experience.

Evaluate how effectively AI agents interact with connected platforms and workplace tools such as Slack, Google Drive, and Microsoft 365.

Collaborate asynchronously through written evaluations and virtual discussions to clarify workflow requirements.

Recommend improvements and identify potential issues in AI-driven processes with a focus on real-world applicability and industry standards.

Maintain clear written and verbal communication when providing feedback to project stakeholders.

Requirements

Proven expertise in software engineering, DevOps, site reliability engineering, cloud, platform engineering, or infrastructure.

Hands-on experience with Azure DevOps, AWS, GCP, Kubernetes, Docker, Terraform, CI/CD tools, and observability frameworks.

Familiarity with developer and workflow platforms such as GitHub, GitLab, and JIRA.

Professional experience using AI agents such as ChatGPT, Claude Code, Claude Cowork, or Codex with development and infrastructure tools.

Demonstrated ability to evaluate technical processes and provide actionable feedback.

Strong written and verbal communication skills with an emphasis on clarity and thoroughness.

Experience with workplace connectors, integrations, or automation tools is advantageous.