LLM S3 Annotator (OpenClaw Trajectory Specialist)

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

Offer Details:

• Engagement type: Contractor assignment/freelancer (no medical/paid leave)

• Duration: 5 weeks

Evaluation Process:

• Resume screening

• Take home assessment (60 mins)