Software Engineer

micro1 is engaging Software Engineers to contribute their technical expertise to a customer-centric project focused on enhancing development workflows and process automation. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Scope of Work

• Execute structured evaluation assignments that simulate authentic developer activities, including version control, code review, issue tracking, and CI/CD workflow execution utilizing AI-powered tools.
• Assess and grade the technical correctness of outputs, verifying results hands-on within relevant development environments and tools.
• Design, seed, and maintain reproducible test environments—such as code repositories with real commit histories and CI workflows—to ensure reliable and realistic task contexts.
• Configure, document, and troubleshoot integrations and authentication flows across multiple software services, ensuring seamless connectivity.
• Investigate and document undocumented product behaviors through hands-on exploration and systematic testing.
• Participate in calibration sessions to ensure consistent evaluation methods and grading across the contributor group.

Preferred Qualifications

• Minimum of 3 years of professional experience in software engineering, demonstrating strong command of Git/GitHub workflows (pull requests, code review, branching, analyzing diffs, CI log diagnostics).
• Proficient with CI/CD systems—ideally GitHub Actions—including authoring custom workflows and ensuring reproducible build processes.
• Advanced scripting abilities in Python or Bash, with comfort in automating environment setup and reset tasks; solid understanding of REST APIs, OAuth, and webhook integrations.
• Fluency with major enterprise SaaS platforms such as Slack, Google Workspace, or Microsoft 365; administrative experience in cloud workspaces is advantageous.
• Experience leveraging AI assistants or agent tools in everyday developer tasks; any familiarity with agent tool-calling or the Model Context Protocol (MCP) is a plus.
• Background in technical QA, evaluation, or data annotation—demonstrating consistency in applying rubrics and identifying nuanced edge cases.
• Exceptional attention to detail, disciplined adherence to defined processes, and outstanding written and verbal communication in English.