Workflow Annotator — Software Engineering

About this role

contribute to a dynamic customer project focused on building a library of realistic, multi-step engineering workflows. 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.

Software Engineering Workflow Annotator

Responsibilities

• Design and author detailed, multi-step task scenarios reflecting authentic software engineering activities, such as pull request management, issue triage, merge conflict resolution, and CI configuration updates using GitHub.
• Execute and document each workflow in real time within actual tools, capturing every step, rationale, edge case, and decision point to ensure comprehensive and accurate records.
• Integrate supplemental collaboration tools where appropriate (Slack, Microsoft 365/Google Workspace, Snowflake) to create end-to-end scenarios mirroring real engineering processes.

Qualifications

• Minimum 2 years of professional experience in software engineering with daily use of GitHub-centered workflows.
• Strong command of written English, with an emphasis on clarity, consistency, and attention to detail in documenting processes for others to follow.
• Hands-on familiarity with Slack and Microsoft 365 or Google Workspace as part of regular engineering activities.
• Experience designing or participating in code review, versioning, branching, or release workflows.
• Exposure to CI/CD pipelines, code review platforms, or systems for process documentation is an advantage.