LLM Annotator – CUA Trajectory at Turing

LLM S2 Annotator (CUA Trajectory Specialist) | Contractor | Remote (Select Countries)

Turing is seeking a detail-oriented S2 Annotator to produce and validate high-quality Computer-Use Agent (CUA) trajectories for developer-adjacent workflows. This is a short-term remote contract role ideal for technical professionals with scripting experience and an interest in cutting-edge AI systems.

About Turing

Turing is one of the world's fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. We partner with leading AI labs to push frontier model capabilities and build real-world AI solutions for mission-critical business challenges.

Role Overview

In this role, you will translate natural language instructions into precise, step-by-step executable actions used to train advanced AI models. You'll work within Linux environments, leverage scripting tools, and interact with APIs, terminals, and browser automation frameworks.

Day-to-Day Responsibilities

• Create detailed positive CUA trajectories for technical tasks including file manipulation, scripting, API calls, and browser-based workflows
• Break down natural language instructions into clear, verifiable, reproducible actions
• Validate and review trajectories for correctness, completeness, and consistency
• Work within Linux desktop environments to execute and document workflows
• Use Python or Bash scripting to simulate or validate task execution
• Interact with tools involving APIs, terminals, and browser automation
• Collaborate with internal teams to refine annotation quality and guidelines

Requirements

• 2–5 years of experience in software development, technical support, or similar roles
• Strong familiarity with Linux environments and command-line operations
• Proficiency in Python or Bash
• Ability to decompose complex instructions into structured, step-by-step workflows
• 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

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 with browser automation tools or developer productivity tools
• Background in evaluating or improving AI-generated outputs

Contract Details

• Commitment: Minimum 4 hours/day, 20 hours/week with a 4-hour PST overlap
• Duration: 5 weeks (starting next week)
• Type: Contractor — does not include medical or paid leave benefits
• Eligible Locations: India, Brazil, Mexico, Pakistan, Bangladesh, Kenya, Egypt, Nigeria, Ghana, Turkey

Evaluation Process

• Resume screening
• Take-home assessment (~60 minutes)