Data Annotator

About Company:

Our client is a Palo Altobased AI infrastructure and talent platform founded in 2018. It helps companies connect with remote software developers using AI-powered vetting and matching technology. Originally branded as the Intelligent Talent Cloud,enabled companies to spin up their engineering dream team in the cloud by sourcing and managing vetted global talent. In recent years, they have evolved to support AI infrastructure and AGI workflows, offering services in model training, fine-tuning, and deploymentpowered by their internal AI platform, ALAN, and backed by a vast talent network. They reported $300 million in revenue and reached profitability. Their growth is driven by demand for annotated training data from AI labs, including major clients like OpenAI, Google, Anthropic, and Meta.

Job Description:

Job Title: S2 Annotator(CUA Trajectory Specialist)

Location: Pan India

Experience: 2+ yrs.

Employment Type: Contract to hire

Work Mode: Remote

Notice Period: - Immediate joiners

Roles & Responsibilities:

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:

25 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 Open Claw 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.