Software Engineer – Python + Docker

About Turing

Turing is one of the world's fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Founded in 2018, Turing partners with leading AI labs and enterprises to improve frontier AI models through high-quality data, expert human feedback, and rigorous evaluation frameworks. Contributors work on cutting-edge projects spanning coding, reasoning, agentic workflows, software engineering, and multimodal AI.

Role Overview

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

Depending on the assigned track, the engineer will:

• 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, 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, delivering to the expected quality bar 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 using AI coding assistants (e.g. Codex, Claude Code, Cursor, GitHub Copilot) 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

• Commitment: complete and get approved a minimum of 1 task per day
• Payment: $300 per task
• Engagement type: contractor, pay per task
• Duration: 2-3 weeks, start date ASAP