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, partnering with leading AI labs to advance frontier model capabilities and build real-world AI systems that solve mission-critical business problems.

Day-to-Day Responsibilities

• Create and validate OpenClaw trajectories for complex, research-oriented tasks
• Work on data analysis, web research, and document synthesis tasks
• Operate under ambiguous or underspecified goals, making logical and defensible decisions
• Use Python (notebooks and scripts) for data processing, automation, and analysis
• Execute workflows spanning multiple tools, 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 Bash, including notebooks and data wrangling
• Experience with OpenClaw or similar advanced agentic environments
• Familiarity with web research, scraping tools, or data analysis workflows
• Ability to clearly 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 (starting next week)
• Commitment: Minimum 20 hours/week (at least 4 hrs/day with 4-hour PST overlap)
• Type: Contractor — does not include medical or paid leave benefits
• Location: Remote — open to candidates in India, Brazil, Mexico, Pakistan, Bangladesh, Kenya, Egypt, Nigeria, Ghana, and Turkey

Evaluation Process

• Resume screening
• Take-home assessment (~60 minutes)