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Rhombus Power

Defense AI platform for strategic decisions

Data Labeling Specialist

Data ManagementConfirmed live in the last 24 hours
ContractRanchi, Jharkhand, IndiaNo salary listedIn-person

About the Job

Requirements

  • Onsite at Rhombus Power India facility in Ranchi.

Responsibilities

  • Ensure precision in all labeled datasets — understanding projection systems, coordinate accuracy, and spatial relationships.
  • Apply sound logic on ambiguous cases; document reasoning to maintain labeling consistency.
  • Proactively communicate with project leadership and technical teams on progress, challenges, and workflow improvements, including QA.
  • Help refine labeling standards and contribute to process automation or quality improvements where possible.
  • Develop deeper expertise in imagery analysis and labeling workflows, and gain basic familiarity with how these labeled data sets train machine learning models.

Desired Qualifications

  • Imagery analysis, video, and text labeling experience is highly preferred.
  • None

About the Company

Rhombus Power

Defense AI platform for strategic decisions

Rhombus Power builds AI systems for defense and national security, centered on Guardian, an AI platform that helps government agencies and defense organizations make fast, accurate strategic, operational, and tactical decisions. Guardian ingests data from clients’ operations, analyzes it, and presents actionable insights and recommended courses of action to decision-makers across command levels, integrating with existing workflows. It differentiates itself by focusing exclusively on defense and national security, tailoring its AI to sector-specific challenges and delivering ongoing deployments and maintenance under long-term contracts. Its goal is to provide a trusted AI toolkit that speeds decision-making, strengthens operational capability, and provides a clear decision advantage in national security.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Mountain View, AR
Founded
2011

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