LLM S3 Annotator (OpenClaw Trajectory Specialist)

About Turing

Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: working with the world’s leading AI labs to advance frontier model capabilities and leveraging that work to build real-world AI systems that solve mission-critical business problems.

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 workflows

Perks of Freelancing With Turing

• Work in a fully remote environment.
• Opportunity to work on cutting-edge AI projects with leading LLM companies.
• Potential for contract extension based on performance and project needs.

Offer Details

• Commitments Required: At least 4 hours per day and a minimum of 20 hours per week, with a 4-hour overlap with PST.
• Employment Type: Contractor position (Note: this role does not include medical/paid leave).
• Duration of Contract: 5 weeks; [expected start date is next week].
• Location: Remote (India, Brazil, Mexico, Pakistan, Bangladesh, Kenya, Egypt, Nigeria, Ghana, Turkey)

Evaluation Process

• Resume screening
• Take home assessment (60 mins)