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LLM S2 Annotator (CUA Trajectory Specialist)

Full-time
Remote
Skills
Python
Bash
Linux
Overview

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)
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LLM S2 Annotator (CUA Trajectory Specialist)