Engineering 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 and leveraging that work to build real-world AI systems that solve mission-critical business problems.

Role Overview

We are looking for skilled professionals to contribute as S2 Annotators, responsible for producing and validating high-quality Computer-Use Agent (CUA) trajectories for developer-adjacent workflows. This includes tasks such as file operations, light scripting, API interactions, and browser automation.

This role requires a strong understanding of technical workflows, attention to detail, and the ability to translate natural language instructions into precise, step-by-step executable actions that can be used to train advanced AI systems.

What does day-to-day look like Create detailed, step-by-step positive CUA trajectories for technical tasks (e.g., file manipulation, scripting, API calls, browser-based workflows) Break down natural language instructions into clear, verifiable actions Validate and review trajectories for correctness, completeness, and reproducibility Work within Linux desktop environments to execute and document workflows Use scripting (Python/Bash) to simulate or validate task execution where required Interact with tools and environments involving APIs, terminals, and browser automation Collaborate with internal teams to refine task quality and annotation guidelines Ensure consistency, accuracy, and high-quality standards across all annotations Requirements 2–5 years of experience in software development, technical support, or similar technical roles Strong familiarity with Linux environments and command-line operations Proficiency in at least one scripting language: Python or Bash Ability to decompose complex instructions into structured, step-by-step workflows Strong attention to detail in documenting technical processes Exposure to LLM-based tools, AI systems, or agentic workflows Basic understanding of APIs, file systems, and developer tooling Familiarity with OpenClaw or similar environments/tools Nice to Have Prior experience in data annotation, RLHF, or SFT labeling workflows Exposure to CI/CD pipelines, REST APIs, or terminal-based automation Experience working with browser automation tools or developer productivity tools Background in evaluating or improving AI-generated outputs Perks of Freelancing With Turing Work with cutting-edge AI technology and contribute to next-generation systems Flexible, remote work environment Opportunity to collaborate with leading AI researchers and engineers Competitive compensation based on your expertise Long-term engagement opportunities Perks of Freelancing With Turing Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies. Potential for contract extension based on performance and project needs. Offer Details Commitments Required: At least 4 hours per day and a minimum of 20 hours per week, with a 4-hour overlap with PST. Employment Type: Contractor position (Note: this role does not include medical/paid leave). Duration of Contract: 5 weeks; [expected start date is next week]. Location: Remote (India, Brazil, Mexico, Pakistan, Bangladesh, Kenya, Egypt, Nigeria, Ghana, Turkey) Evaluation Process Resume screening Take home assessment (60 mins)