Data Labeling Specialist
Rhombus Power Inc.
Job Overview
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Job Description
About Rhombus Power Inc.
Rhombus Power 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 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:
Job Description - Data Labeling Specialist
As a Data Labeling Specialist, you will work as part of a collaborative team to label video, text, and imagery (primarily overhead) at a pace that meets our client deliverable deadlines and quality requirements.
Responsibilities
- Identify, analyze, and label objects in overhead imagery, video, and text.
- Proactively communicate with project leadership, provide updates, and raise issues about labeling and data workflows.
- Cultivate expertise and leadership in the imagery analysis domain and gain basic machine learning knowledge to better understand how labels are utilized by our algorithms.
Qualifications
- Undergraduate degree in International Affairs, Political Science, Public Policy, Data Engineering and/or Data Science, is required. If you have a unique background that adds value, please apply!
- Prior experience with imagery analysis and labeling in QGIS or python is preferred, but not required.
- The perfect candidate for this role is someone who is adaptable, dependable, and can apply logic to multiple different scenarios.
- We’re seeking candidates with proven analytical skills, are excited to solve complex problems, and are passionate and curious about AI technology applications.
- This position is an in-person role; candidates must be able to reliably commute to and from our office in Stanford Research Park, Palo Alto.
- Quality focused, detail-oriented, and able to work in a fast-paced environment.
- You must be able to learn quickly and have a baseline of strong computer skills.
Benefits
- Full medical, dental, vision coverage for employee and dependents
- 401k matching program
- PTO and Holidays
- Bonus and other incentive programs
- Access to mental health program
- Access to Flexible Spending Accounts for Health Care, Dependent and Commuter
About Rhombus Power
Rhombus Power Inc. (Rhombus) is a startup located in the heart of Silicon Valley at Stanford Research Park in Palo Alto. We use cutting-edge cross-disciplinary approaches to solve pressing Big Data and Sensing problems in security, energy, and healthcare. Our advisory board includes two Nobel Laureates and a Draper Prize winner.
Rhombus compensates, motivates, and develops employees, who are trusted, empowered, and involved. Employees have clear roles and expectations – and their roles are flexible enough to move at the speed of innovation in order to meet and exceed client expectations. We have a unique culture of global purpose, rooted in the innovation and progress of Silicon Valley.
Rhombus knows that diversity is a condition for success. We are committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer.
Key skills/competency
- Data Labeling
- Imagery Analysis
- Video Annotation
- Text Annotation
- Machine Learning (basic understanding)
- QGIS
- Python (labeling scripts)
- Analytical Skills
- Attention to Detail
- Problem Solving
How to Get Hired at Rhombus Power Inc.
- Research Rhombus Power Inc.'s mission: Study their focus on AI for defense, national security, and their products like Ambient AI and Guardian. Understand their impact on strategic decision-making.
- Highlight analytical and detail-oriented skills: Tailor your resume to emphasize experience in data analysis, keen attention to detail, and problem-solving abilities crucial for data labeling tasks.
- Showcase relevant academic background: Emphasize degrees in International Affairs, Political Science, Public Policy, Data Engineering, or Data Science, as well as any unique, valuable experiences.
- Prepare for technical insights: While QGIS or Python experience is preferred, demonstrate a quick learning ability and strong computer skills; show curiosity about AI technology applications.
- Articulate passion for impact: During interviews, express your enthusiasm for contributing to global security and working in a fast-paced, mission-driven startup environment like Rhombus Power Inc.
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