Data Labeling Specialist (Consultancy)

As a Data Labeling Specialist you will play a critical role in verifying and improving the quality of event data that fuels our predictive intelligence systems. You'll review event records extracted from global news sources—checking the accuracy of event classifications, actor identification, geographic tagging, and temporal coding against original source material.

This a consultancy role that is fully remote and ideal for individuals who require flexibility in how and when to operate.

Ideal candidates are those that thrive in routine, focused, detail-oriented work environments and value flexibility while maintaining high standards of quality and accountability. They will eagerly solicit feedback on their work and incorporate analytical improvements into their own workflows without direction. 

This position is perfect for individuals who are:

• Exceptionally detail-oriented with strong reading and writing comprehension
• Strongly prefer repetitive and deep-focused work, and are excellent with pattern recognition
• Feel most confident and comfortable with routines, processes, evidence-based reasoning, and clear goals
• Able to excel while working autonomously with a high degree of efficiency and accuracy
• Knowledgeable about and naturally interested in global current events and geopolitics. You must be able to navigate and interpret news articles from diverse international sources
• Excited to apply their analytical skills to real-world defense applications and gain experience working with machine learning and artificial intelligence

• Review event records against original news sources to verify accuracy of event type, actors involved, location, and date
• Identify and flag coding errors, misattributions, or inconsistencies in event data
• Apply sound judgment on ambiguous cases; document reasoning to maintain validation consistency
• Proactively communicate with project leadership on progress, challenges, and workflow improvements, including quality assurance
• Help refine validation standards and contribute to process improvements where possible
• Develop deeper expertise in event data structures and gain familiarity with how validated datasets improve machine learning model performance
• Maintain and uphold data security standards while working in a fully remote environment

• An undergraduate degree, completed or in progress
• Strong knowledge of international affairs, geopolitics, or current events — regional expertise (South Asia, East Asia, Middle East, etc.) is a plus
• Excellent English reading comprehension; additional language proficiency is highly valued
• Strong command of Microsoft Suite and Google tools such as Excel, Word, Sheets, etc., with excellent file management and organizational skills
• Detail-oriented with experience reviewing data for errors or inconsistencies and making corrections to maintain quality and accuracy
• Proven analytical and logical reasoning skills — able to manage multiple datasets and tasks with precision and consistency
• Self-starter with a bias for action, strong attention to detail, and ability to maintain accuracy and productivity under tight deadlines in a fully remote, flexible setting 

About Rhombus 

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.