LLM S2 Annotator (CUA Trajectory Specialist)

*LLM S2 Annotator (CUA Trajectory Specialist)*

*YoE*

*3 years of experience in software development, technical support, or similar technical roles*

*Commitment Required*

Full-time (8 hours/day) 40 hours per week. At least 4 hours per day and a minimum of 20 hours per week, with a 4-hour overlap with PST.

*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 You'll Do Day-to-Day:*

* 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

*Required Qualifications:*

* 13 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

If Intrested. Please submit your CV to [Confidential Information] or share it via WhatsApp at 8827565832

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