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Remote Python/Docker Engineer

Indeed

Company

Job typeFull-time
Workplace typeOnsite
Experience levelNo experience limit
Education levelNo degree limit

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)

Posted by

Valentina Rodríguez

Indeed · HR

Location

Valentina Rodríguez

Indeed · HR

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