Software Engineer Pod Lead

About Turing:

Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.

Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.

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. 

The work spans two closely related tracks: Connectors and Tasks. Candidates may specialize in one track, but the strongest profiles are generalist backend engineers who can contribute across both. 

What you'll do:

• Build Python backend applications that faithfully replicate real-world SaaS tools such as Slack, Linear, Jira, Notion, Gmail, wikis, and other enterprise applications.

• Develop realistic digital-work environments where AI agents can interact with tools, data, and workflows.

• Mine real-world data, tools, and workflows to understand how knowledge work is performed across enterprise applications.

• Author realistic, long-horizon agent tasks that require multi-step reasoning, tool usage, and interaction with connector environments.

• Write clear evaluation rubrics that precisely define correct, complete, and high-quality task completion.

• Validate tasks end-to-end for quality, realism, correctness, and achievability through rigorous QA.

• Identify ambiguity, edge cases, grading gaps, and unrealistic assumptions before tasks ship.

• Reproduce and debug failures across tasks and connector environments and provide actionable feedback to other engineers.

• Use AI coding tools extensively throughout development, debugging, testing, and QA workflows.

What we're looking for:

• Strong backend software engineering experience, primarily in Python.

• Experience building, testing, debugging, and maintaining backend applications.

• Working knowledge of GCP, Docker, virtual machines, and Harbor.

• Strong engineering judgment and a high bar for correctness, with the ability to identify edge cases and ambiguous requirements.

• Ability to understand real-world workflows and translate them into precise technical implementations, tasks, and evaluation criteria.

• Excellent written communication skills, particularly for technical documentation, QA feedback, and rubric writing.

• High daily proficiency with AI coding tools such as Claude Code, Cursor, Copilot, or similar tools — this is a hard requirement.

• Ability to work independently across unfamiliar codebases, tools, and technical environments.

Nice to have:

• Experience building or evaluating AI agents, LLM applications, or agentic systems.

• Experience developing backend integrations or applications that replicate or interact with SaaS products.

• Familiarity with enterprise SaaS tools such as Slack, Linear, Jira, Notion, Gmail, or wikis at an API or data-model level.

• Experience with evaluation design, QA, rubric development, or AI training-data generation.

• Experience working with complex multi-step workflows involving tool/function calling.

• Ability to contribute across both Connectors and Tasks, rather than specializing exclusively in one track.

Offer Details:

• Commitments Required: At least 6 hours per day and minimum 40 hours per week with overlap of 6 hours with PST. 

• Employment type  : Contractor assignment (no medical/paid leave)

• Duration of contract : 5 week [expected start date is next week]

• Location : India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico