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Rhombus Power, Inc.

Data Labeling Manager

Ranchi, Jharkhand, India

Location
Ranchi, Jharkhand, India
Work
Not stated
Employment
Not stated
Level
Senior
Function
Data & AI
Pay
Not stated
Posted
5 months ago

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About the role

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.
  • 5+ years of professional experience in data labeling, annotation operations, imagery analysis, content operations, data operations, or related analytical fields.
  • Prior experience managing teams and direct reports is required.
  • Demonstrated experience hiring, onboarding, and developing employees in an operational environment.
  • Prior hands-on data labeling experience is required. Experience with imagery analysis, video annotation, and text labeling is highly preferred.
  • Strong command of Microsoft Office and Google Workspace tools, including Excel, Word, and Google Sheets.
  • Proven analytical and logical reasoning skills with the ability to manage multiple priorities and teams effectively.
  • Self-starter with a bias for action, strong attention to detail, and ability to maintain quality under tight deadlines.
  • Experience building processes, driving operational improvements, and maintaining performance standards in fast-paced environments.

The ideal candidate for this role is someone who is adaptable, highly dependable, and capable of balancing team leadership with hands-on operational execution. We are seeking candidates with proven analytical skills, a passion for developing people, and the ability to scale teams and processes while maintaining exceptional quality standards.

Candidates must be able to consistently deliver results at a high degree of accuracy over sustained periods while leading others to do the same.

You must be extremely quality-focused, a strong communicator, a builder of teams, and able to thrive in a fast-paced environment.

Source

Posted by Rhombus Power, Inc. on their own hiring page, job-boards.greenhouse.io. OptiTalent shows it as published, read 07 Nov 2026 11:45 UTC; the original is the reference.

View the original ad ↗

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