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.
Hiring companyMicro1
About the role
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.
Responsibilities
- 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 skills
- 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.
- Versed in using connectors across Claude and ChatGPT.
- 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.
- 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.
Experience and education
- 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.
Eligibility
Work arrangement: Fully remote
Compensation details
$50–$70 per hour.
More about the hiring companyMicro1
Posting details
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