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

If Intrested. Please submit your CV to [Confidential Information] or share it via WhatsApp at 8827565832

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