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Open nowPosted 218 days ago

Data Annotation Specialist - Software Engineer (OpenClaw Trajectory Evaluation)

careerflow137 open roles

Where
Bangladesh
Work mode
Remote
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Your applicationOpen nowData Annotation Specialist - Software Engineer (OpenClaw Trajectory Evaluation)careerflow · Bangladesh

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  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 218 days ago

The posting

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)
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