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Rhombus Power

Data Labeling Manager

Ranchi, Jharkhand, India; Ranchi, Jharkhand, IndiaIndia
Manager · Analysis
POSTED 3 JUNVERIFIED 3H AGO
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159 days opentrue age
Posted 3 Jun
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₹11L–₹52.5Lno pay posted
Market p25–p75
₹11L–₹52.5L
India · n=14 · 365d to 6 Nov
CompanyRhombus Power →
14open roles
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All tracked boards · live 10 Nov · n=73,173
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12H-1B LCAs · FY26
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$140k
LCAs FY26 · n=12 · to 2026-06-26

Rhombus Power, Inc. delivers AI-powered predictive intelligence in real time for defense and national security organizations worldwide. Our mission-built products— Ambient AI and Guardian— are transforming strategic, operational, and tactical decision-making. By empowering the shift from reactive analysis to proactive, predictive intelligence and decision support, Rhombus Power is providing foresight and freedom of action when it matters most.

Come join our cross-disciplinary and world-class team that is delivering game-changing solutions to transform global security.

Learn more about Rhombus Power, Inc. and watch a demonstration of Guardian, our AI Platform here:

https://www.youtube.com/watch?v=3PxY6su1Q-Q

https://www.youtube.com/@rhombuspower8558/videos

https://www.youtube.com/watch?v=Iby5WVNfQiI

See the following articles to learn more about what we do:

https://www.rhombuspower.com/news-and-media

Location: Onsite in Ranchi, Jharkhand, India

Job Description

We are a cutting-edge defense technology firm renowned for building next-generation AI systems for national security applications. We are seeking a highly motivated Data Labeling Manager to lead and scale a growing team of data annotation professionals supporting high-priority AI initiatives involving text, video, and overhead imagery analysis.

This role is ideal for candidates with a strong background in data labeling operations, team leadership, and process management who thrive in fast-paced, mission-driven environments. You will oversee annotation efforts that train advanced AI models, while ensuring accuracy, consistency, and operational excellence across labeling workflows.

The ideal candidate is highly analytical, detail-oriented, organized, and excited to build and lead a high-performing team supporting impactful defense-related AI work.

About the Role

As a Data Labeling Manager, you will be responsible for leading a team of Data Labeling Specialists while ensuring the quality, efficiency, and scalability of labeling operations. You will partner with leadership, recruiting, and technical teams to build processes, develop talent, and support growing annotation requirements across multiple projects.

This position is perfect for individuals who can proficiently:

  • Lead and develop teams responsible for text, video, and overhead imagery labeling.
  • Own hiring, onboarding, training, and performance management for a growing data labeling organization.
  • Build scalable operational processes and quality standards to support increasing annotation workloads.
  • Proactively communicate with leadership and technical teams regarding progress, challenges, staffing needs, and workflow improvements.
  • Cultivate expertise in imagery analysis and data labeling operations while developing a foundational understanding of machine learning workflows.

Key Responsibilities

  • Manage day-to-day operations of a team of Data Labeling Specialists, ensuring high-quality and timely project execution.
  • Own hiring plans, recruiting coordination, onboarding, and workforce planning to support organizational growth.
  • Scale and develop a high-performing labeling team while maintaining productivity and quality standards.
  • Establish and track performance metrics, productivity benchmarks, and quality assurance processes.
  • Ensure precision in all labeled datasets, including imagery, video, and text-based annotation efforts.
  • Apply sound judgment in ambiguous cases and ensure consistency across labeling decisions and workflows.
  • Proactively communicate with project leadership and technical teams regarding progress, risks, resource needs, and operational improvements.
  • Help refine labeling standards and contribute to process improvements that increase efficiency and quality.
  • Develop team expertise in imagery analysis, annotation methodologies, and data labeling best practices.
  • Support the successful delivery of mission-critical datasets that power advanced AI and machine learning systems.

Qualifications

  • Able to be onsite at Rhombus Power's Ranchi facility.
  • Bachelor's degree required.
Source · Rhombus PowerFirst seen 2 NovOriginal ↗