Technical Annotator – Linux, Scripting, Developer Workflows
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Job Description
Technical Annotator producing technical workflows and validating data for AI systems. Ideal for candidates with skills in software development, technical support, or scripting.
Responsibilities:
- Create step-by-step technical workflows based on natural language instructions
- Produce structured task trajectories for developer-style activities
- Execute and document workflows in Linux desktop environments
- Validate trajectories for correctness, completeness, and reproducibility
- Use Python or Bash scripting to simulate or verify task execution
- Work with APIs, terminal commands, files, and browser-based tools
- Review annotations to ensure consistency and high quality
- Follow detailed annotation guidelines and quality standards
- Collaborate with internal reviewers to improve task accuracy
Requirements:
- 1–3 years of experience in software development, technical support, or similar technical roles
- Strong familiarity with Linux environments and command-line usage
- Proficiency in Python or Bash scripting
- Ability to break down complex instructions into clear steps
- Good understanding of file systems, APIs, and developer tools
- Strong attention to detail and documentation skills
- Comfortable working with technical workflows and automation tasks
- Good written English communication skills
- Nice to Have
- Experience with data annotation, labeling, or AI training projects
- Exposure to LLM tools, AI agents, or automation systems
- Experience with REST APIs, CI/CD, or developer tooling
- Familiarity with browser automation or scripting tools
- Experience reviewing or improving AI-generated outputs
- Experience with environments similar to OpenClaw or developer sandboxes
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