LLM S3 Annotator (OpenClaw Trajectory Specialist)

LLM S3 Annotator (OpenClaw Trajectory Specialist)

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.

Day-to-day

• Create and validate OpenClaw trajectories for complex, research-oriented tasks
• Work on tasks such as data analysis, web research, and document synthesis

You bring

• 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

Bonus

• Academic research experience (thesis, publications, lab work)
• Familiarity with evaluation methodologies or experimental design
• Experience in AI evaluation, RLHF, or advanced annotation workflows

Pay

• Start: is next week].
• Commitments Required: At least 4 hours per day and a minimum of 20 hours per week, with a 4-hour overlap with PST.
• Contractor position (Note: this role does not include medical/paid leave).