ContractRemoteExpired

Software Engineer

micro1 is engaging Software Engineers to contribute technical expertise to a customer project focused on evaluating AI-powered developer workflows and process automation. Engineers will execute realistic development tasks involving version control, code review, issue tracking, CI/CD, scripting, APIs, and software integrations while validating technical outputs and maintaining reproducible test environments. No prior AI experience is required.

This job opportunity has expired.

The listing's valid-through date has passed. Its details remain available as a historical reference.

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Salary

$50 - $70 / hour

Department

Software Engineering

Experience

3+ Years

Responsibilities

Execute structured evaluation assignments that simulate authentic software development workflows using AI-powered tools.
Perform version control, code review, issue tracking, and CI/CD workflow evaluation tasks.
Assess and grade the technical correctness of generated outputs through hands-on verification.
Design and maintain reproducible test environments with realistic repositories, commit histories, and CI workflows.
Seed and reset development environments to maintain reliable evaluation conditions.
Configure and troubleshoot integrations and authentication flows across multiple software services.
Use scripting and automation to streamline environment setup, testing, and reset processes.
Investigate undocumented product behavior through systematic hands-on testing.
Document technical findings, unexpected behavior, and evaluation outcomes clearly.
Validate development workflows involving REST APIs, OAuth, webhooks, and external integrations.
Apply defined evaluation rubrics consistently while identifying technical edge cases.
Participate in calibration sessions to maintain consistent grading standards across contributors.

Skills

Software EngineeringPythonBashScriptingCI/CDGitGitHubGitHub ActionsREST APIOAuthWebhooksQuality AssuranceTechnical QACode ReviewVersion ControlIssue TrackingWorkflow AutomationAPI IntegrationTest AutomationAI AssistantsModel Context ProtocolMCPSaaS Integrations

Requirements

Minimum 3 years of professional software engineering experience.
Strong command of Git and GitHub workflows, including pull requests, branching, code review, and diff analysis.
Experience diagnosing CI logs and troubleshooting development workflow failures.
Strong proficiency with CI/CD systems, ideally GitHub Actions.
Ability to author and maintain custom CI/CD workflows and reproducible build processes.
Advanced scripting skills in Python or Bash.
Solid understanding of REST APIs, OAuth, and webhook integrations.
Experience automating development environment setup and reset processes.
Experience using connectors across Claude and ChatGPT.
Familiarity with enterprise SaaS platforms such as Slack, Google Workspace, or Microsoft 365.
Experience using AI assistants or agent tools in software development workflows.
Familiarity with agent tool-calling or Model Context Protocol (MCP) is advantageous.
Background in technical QA, AI evaluation, or data annotation is advantageous.
Ability to consistently apply evaluation rubrics and identify nuanced technical edge cases.
Exceptional attention to detail and strong written and verbal English communication skills.

Benefits

Remote contract opportunity
Earn $50–$70 per hour
4 openings available
Work with modern CI/CD and developer automation workflows
Evaluate AI assistants in realistic software engineering scenarios
Apply Python, GitHub Actions, APIs, and automation expertise
Gain exposure to AI agent tooling and MCP-based workflows
Contribute directly to next-generation AI evaluation and training

Software Engineer

Responsibilities

Execute structured evaluation assignments that simulate authentic software development workflows using AI-powered tools.

Perform version control, code review, issue tracking, and CI/CD workflow evaluation tasks.

Assess and grade the technical correctness of generated outputs through hands-on verification.

Design and maintain reproducible test environments with realistic repositories, commit histories, and CI workflows.

Seed and reset development environments to maintain reliable evaluation conditions.

Configure and troubleshoot integrations and authentication flows across multiple software services.

Use scripting and automation to streamline environment setup, testing, and reset processes.

Investigate undocumented product behavior through systematic hands-on testing.

Document technical findings, unexpected behavior, and evaluation outcomes clearly.

Validate development workflows involving REST APIs, OAuth, webhooks, and external integrations.

Apply defined evaluation rubrics consistently while identifying technical edge cases.

Participate in calibration sessions to maintain consistent grading standards across contributors.

Requirements

Minimum 3 years of professional software engineering experience.

Strong command of Git and GitHub workflows, including pull requests, branching, code review, and diff analysis.

Experience diagnosing CI logs and troubleshooting development workflow failures.

Strong proficiency with CI/CD systems, ideally GitHub Actions.

Ability to author and maintain custom CI/CD workflows and reproducible build processes.

Advanced scripting skills in Python or Bash.

Solid understanding of REST APIs, OAuth, and webhook integrations.

Experience automating development environment setup and reset processes.

Experience using connectors across Claude and ChatGPT.

Familiarity with enterprise SaaS platforms such as Slack, Google Workspace, or Microsoft 365.

Experience using AI assistants or agent tools in software development workflows.

Familiarity with agent tool-calling or Model Context Protocol (MCP) is advantageous.

Background in technical QA, AI evaluation, or data annotation is advantageous.

Ability to consistently apply evaluation rubrics and identify nuanced technical edge cases.

Exceptional attention to detail and strong written and verbal English communication skills.

Benefits

Remote contract opportunity

Earn $50–$70 per hour

4 openings available

Work with modern CI/CD and developer automation workflows

Evaluate AI assistants in realistic software engineering scenarios

Apply Python, GitHub Actions, APIs, and automation expertise

Gain exposure to AI agent tooling and MCP-based workflows

Contribute directly to next-generation AI evaluation and training