Description
Summary:
Join Turing's frontier AI data initiative to build infrastructure and training data, working on connectors or tasks with AI coding agents.
Highlights:
1. Work on frontier AI data initiative building infrastructure and training data
2. Develop Python backend applications or author realistic tasks
3. Utilize AI coding agents throughout development, QA, and validation
**Urgent hire: ASAP start, 4 week contract. Applications reviewed on a rolling basis, apply early.**
**Engagement details:*** **Engagement type:** Contractor, pay per task
* **Payment:** $300 per approved task
* **Commitment:** Minimum of 1 completed and approved task per day
* **No cap on tasks:** Complete as many as you can until the pipeline is exhausted
* **Duration:** 4 weeks, starting immediately
**About Turing \& Role**
Turing is one of the world's leading AGI infrastructure companies, working with frontier AI labs to accelerate model development through high\-quality training data, evaluations, and engineering talent. We are staffing a frontier AI data initiative building the infrastructure and training data used to develop and evaluate AI agents. You will be assigned to one of two tracks: connectors or tasks.
**Responsibilities*** Use AI coding agents throughout development, QA, and validation
* Participate in onboarding, calibration, and quality reviews; deliver to the quality bar on agreed milestones
* Project runs on two tracks:
* **Connecters track:**
* Build Python backend applications that replicate existing SaaS tools (Slack, Linear, Jira, Notion, Gmail, wikis)
* Test and validate connectors so each behaves faithfully like the system it emulates; extend existing connectors and build new ones within agreed timeframes.
* **Task track:**
* Mine data and workflows to identify candidates for long\-horizon task development, and author realistic tasks from them
* Verify task quality, realism, and correctness through structured QA; write evaluation rubrics defining correct, partially correct, and deficient work
**Requirements*** 3\+ years of backend development experience with strong Python (FastAPI, Flask, or Django)
* Git, Docker, and pipeline basics, with solid testing and code\-quality practices
* Experience building scalable backends, REST APIs, and microservices
* Daily use of AI coding assistants (Claude Code, Codex, Cursor, GitHub Copilot, or similar)