LLM S2 Annotator (CUA Trajectory Specialist)
YoE
4-5 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:
1-3 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 or share it via WhatsApp at
Stay updated with our latest job opportunities and company news by following us on LinkedIn: :
Read LessLLM S2 Annotator (CUA Trajectory Specialist)
YoE
4-5 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:
1-3 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 or share it via WhatsApp at
Stay updated with our latest job opportunities and company news by following us on LinkedIn: :
Read LessLLM S2 Annotator (CUA Trajectory Specialist)
YoE
4-5 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:
1-3 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 or share it via WhatsApp at
Stay updated with our latest job opportunities and company news by following us on LinkedIn: :
Read LessLLM S2 Annotator (CUA Trajectory Specialist)
YoE
4-5 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:
1-3 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 or share it via WhatsApp at
Stay updated with our latest job opportunities and company news by following us on LinkedIn: :
Read LessLLM S2 Annotator (CUA Trajectory Specialist)
YoE
4-5 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:
1-3 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 or share it via WhatsApp at
Stay updated with our latest job opportunities and company news by following us on LinkedIn: :
Read LessLLM S2 Annotator (CUA Trajectory Specialist)
YoE
4-5 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:
1-3 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 or share it via WhatsApp at
Stay updated with our latest job opportunities and company news by following us on LinkedIn: :
Read LessLLM S2 Annotator (CUA Trajectory Specialist)
YoE
4-5 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:
1-3 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 or share it via WhatsApp at
Stay updated with our latest job opportunities and company news by following us on LinkedIn: :
Read LessLLM S2 Annotator (CUA Trajectory Specialist)
YoE
4-5 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:
1-3 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 or share it via WhatsApp at
Stay updated with our latest job opportunities and company news by following us on LinkedIn: :
Read LessLLM S2 Annotator (CUA Trajectory Specialist)
YoE
4-5 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:
1-3 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 or share it via WhatsApp at
Stay updated with our latest job opportunities and company news by following us on LinkedIn: :
Read LessLLM S2 Annotator (CUA Trajectory Specialist)
YoE
4-5 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:
1-3 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 or share it via WhatsApp at
Stay updated with our latest job opportunities and company news by following us on LinkedIn: :
Read Less