We are staffing a frontier AI data initiative that requires strong software engineers to build the infrastructure and training data used to develop and evaluate AI agents.
Key Responsibilities:
- The Engineer will, depending on assigned track: build Python backend applications that replicate existing SaaS tools (such as Slack, Linear, Jira, Notion, Gmail, and wikis), including implementing integrations and standing up full-service backend functionality.
- Perform thorough backend testing and integration validation to ensure each connector behaves faithfully like the system it emulates.
- Adapt and extend previously built connectors as needed, and test existing connectors internally before they are treated as complete; Build new connectors from scratch where required, within agreed delivery timeframes.
- Conduct data mining and task mining to identify representative workflows suitable for long-horizon task development; Author realistic tasks derived from mined data and workflows.
- Verify task and data quality, realism, and correctness through structured QA; Write clear evaluation rubrics that define correct, partially correct, and deficient work.
- Use AI coding agents proficiently throughout all development, QA, and validation work; collaborate across the connectors and tasks tracks.
- Participate in onboarding, calibration, and quality-review cycles; deliver assigned work to the expected quality bar and on agreed milestones.
Must Have Required Skills:
- Minimum 3+ years of overall experience.
- Strong proficiency in Python (FastAPI, Flask, or Django)with proven experience in backend software development.
- Proficiency with Git, Docker, and basic software pipeline setup.
- Experience building scalable backend applications, REST APIs, and microservices.
- Proficiency in using AI coding assistants (e.g., Codex, Claude Code, Cursor, GitHub Copilot, or similar) as part of daily development workflows.
- Strong understanding of software engineering best practices, including version control, testing, and code quality.
- Strong analytical and problem-solving skills with attention to detail.
- Ability to work independently while collaborating effectively within distributed engineering teams.
- Excellent written and verbal communication skills.
Nice to have:
- Experience building connectors or integrations for SaaS platforms.
- Knowledge of evaluation frameworks, QA methodologies, and rubric creation for AI datasets.
- Experience developing realistic workflows for long-horizon AI tasks.
Offer details
- Commitments required: Must complete and get approved minimum of 1 task per day .
- Payment: $300/Task
- Engagement type: Contractor - Pay per Task
- Duration of contract: 2-3 weeks and start date ASAP
