LLM S3 Annotator – OpenClaw at Turing

LLM S3 Annotator (OpenClaw Trajectory Specialist) | Contractor | Remote – India, Brazil, Mexico & more

Turing is seeking highly analytical professionals to join as S3 Annotators, producing and validating advanced OpenClaw trajectories for research-oriented AI training tasks. This is a short-term contract role (5 weeks) ideal for data scientists, researchers, or engineers with strong Python skills and experience in agentic or LLM-based workflows.

About Turing

Turing is one of the world's fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. We partner with leading AI labs to advance frontier model capabilities and build real-world AI solutions for mission-critical business challenges.

Day-to-Day Responsibilities

• Create and validate OpenClaw trajectories for complex, research-oriented tasks
• Work on data analysis, web research, and document synthesis workflows
• Operate under ambiguous or underspecified goals, making logical and defensible decisions
• Use Python (notebooks and scripts) for data processing, automation, and analysis
• Execute multi-tool workflows spanning multiple environments and applications
• Clearly document what actions were taken and why
• 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 a related field (academic or industry)
• 5+ years of experience with Python and/or Bash, including notebooks and data wrangling
• Experience with OpenClaw or similar advanced agentic environments
• Familiarity with web research, scraping tools, or data analysis workflows
• Strong ability to articulate reasoning behind decisions and steps taken
• Experience managing 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, or lab work)
• Familiarity with evaluation methodologies or experimental design
• Experience in AI evaluation, RLHF, or advanced annotation workflows

Contract Details

• Duration: 5 weeks (expected start: next week)
• Commitment: Minimum 4 hours/day, 20 hours/week with a 4-hour PST overlap
• Type: Contractor (no medical/paid leave benefits)
• Location: Remote – open to candidates in India, Brazil, Mexico, Pakistan, Bangladesh, Kenya, Egypt, Nigeria, Ghana, and Turkey

Perks

• Fully remote work environment
• Opportunity to contribute to cutting-edge AI research projects
• Potential for contract extension based on performance and project needs