Data Annotator

*LLM S3 Annotator (OpenClaw Trajectory Specialist)* Shift Details: * Total 8 hours per day * Mandatory login: 7:30 PM – 12:30 AM (PST) * Remaining 4 hours flexible * Minimum 4-hour overlap with PST required

*YoE* 5+ years of experience in Python / Bash, including experience with notebooks and data wrangling

*Role Overview:* We are looking for highly analytical professionals to join as S3 Annotators, responsible for producing and validating advanced OpenClaw trajectories for research-oriented tasks involving ambiguous goals, multi-step reasoning, and long-context workflows. This role requires strong problem-solving ability, research thinking, and the capability to justify decisions while executing complex, multi-tool workflows used to train sophisticated AI agents.

*What does day-to-day look like* * Create and validate OpenClaw trajectories for complex, research-oriented tasks * Work on tasks such as data analysis, web research, and document synthesis * Operate under underspecified or ambiguous goals, making logical and defensible decisions * Use Python (notebooks, scripts) for data processing, automation, and analysis * Perform workflows spanning multiple tools, environments, and applications * Clearly document both what actions were taken and why they were taken * Review and improve trajectory quality for reasoning depth and correctness * Collaborate with teams to refine evaluation standards and annotation frameworks. *Requirements* * Background in research, data science, engineering, or related fields (academic or industry) * 5+ years of experience in Python / Bash, including experience with notebooks and data wrangling * Experience with OpenClaw or similar advanced environments * Experience with web research, scraping tools, or data analysis workflows * Ability to articulate reasoning behind decisions and steps * Experience handling multi-step workflows across tools or platforms * Exposure to LLM-based tools, AI systems, or agentic workflows *Nice to have* * Academic research experience (thesis, publications, lab work) * Familiarity with evaluation methodologies or experimental design * Experience in AI evaluation, RLHF, or advanced annotation workflow

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