Software Engineer

RemoteJobsOne; Zürich; Remote; CHF 57.000 - 80.000; Vollzeit

Zusammenfassung

RemoteJobsOne is seeking a Software Engineer contractor to contribute to a customer-centric project focused on improving development workflows and automation. You will work remotely, open to candidates based in Switzerland, and apply your expertise to train AI systems using real-world input.

No prior AI experience required; domain knowledge matters. The role emphasizes structured evaluation, reproducible test environments, and hands-on testing across CI/CD, APIs, and cloud services.

Qualifikationen

• 3+ years of professional software engineering experience.

Aufgaben

• 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.

Kenntnisse

Git workflows

GitHub Actions

Claude/ChatGPT

Python scripting

REST APIs

OAuth

Webhooks

Slack

Google Workspace

Microsoft 365

AI agents

MCP

Data annotation

Tools

GitHub

Jobbeschreibung

This is a fully remote position, open to candidates based in Switzerland.

Pay: $50–$70/hr

Role Title: Software Engineer

Role Type: Contractor

Location: Remote

We are 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

1. 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.
2. Assess and grade the technical correctness of outputs, verifying results hands-on within relevant development environments and tools.
3. 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.
4. Configure, document, and troubleshoot integrations and authentication flows across multiple software services, ensuring seamless connectivity.
5. Investigate and document undocumented product behaviors through hands-on exploration and systematic testing.
6. Participate in calibration sessions to ensure consistent evaluation methods and grading across the contributor group.

Preferred Qualifications

1. 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).
2. Proficient with CI/CD systems—ideally GitHub Actions—including authoring custom workflows and ensuring reproducible build processes.
3. Versed in using connectors across Claude and ChatGPT.
4. 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.
5. Fluency with major enterprise SaaS platforms such as Slack, Google Workspace, or Microsoft 365; administrative experience in cloud workspaces is advantageous.
6. 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.
7. Background in technical QA, evaluation, or data annotation—demonstrating consistency in applying rubrics and identifying nuanced edge cases.
8. Exceptional attention to detail, disciplined adherence to defined processes, and outstanding written and verbal communication in English.