Multi-Hop Reasoning & Synthesis Annotator

About the Company

We are a fast-growing AI research and data innovation company specializing in high-quality datasets that power advanced machine learning systems. Our mission is to accelerate global AI development through precise research evaluation, domain-expert annotations, and rigorous quality standards.

About the Role:

You will evaluate and annotate tasks that require multi-step logical reasoning, cross-domain synthesis, and complex inference generation. The role involves tracing reasoning chains, identifying logical gaps, validating intermediate steps, and ensuring that conclusions follow coherently from evidence. You will analyze scenarios spanning mathematics, science, humanities, and real-world problem solving to assess the correctness, clarity, and structure of multi-hop reasoning pathways. Ideal for candidates with strong analytical training and the ability to break down, reconstruct, and verify multi-layered reasoning processes

Responsibilities

• Break down and analyze long reasoning chains
• Identify missing steps, invalid logic, or incoherence
• Annotate multi-document reasoning (RAG-based)
• Check for synthesis accuracy across multiple source
• Ensure logical alignment and structural consistency

Skills & Experience Required

• Any research background with 2–5 yrs analytical experience
• Strong multi-hop reasoning and synthesis skills
• Ability to detect subtle logical issues in complex analyses
• comfortable analyzing long reasoning chains and multi-source inputs