Design software products for data labeling, manage their lifecycle, and collaborate with cross-functional teams to ensure product success.

As a Geospatial Data Manager, you will manage data logistics for AI/ML training, design data pipelines, and ensure compliance with secure data protocols.

Manage data logistics for AI/ML training, design data pipelines, automate data transfer, collaborate with teams, and prepare performance reports.

The Data Annotation Specialist reviews and labels data such as audio, video, imagery, and text, helping develop AI training datasets.

The Geospatial Analyst will analyze satellite and remote sensing imagery, extract intelligence, and create reports for stakeholders, while developing methodologies.

Lead technical aspects of data labeling, quality assurance, and team mentoring. Execute complex image annotation tasks and improve dataset integrity and quality metrics.

Lead training programs for annotating EO and SAR imagery, optimize annotation workflows, ensure compliance with regulations, and develop best practices.

The Operations Manager will oversee annotation workflows, manage production teams, optimize processes for accuracy and efficiency, and ensure high-quality training datasets for AI applications.

As a Geospatial Data Scientist, you will analyze complex geospatial datasets, develop data preparation strategies for machine learning, and validate geospatial data quality. Responsibilities include collaborating with model builders and providing technical consultations while staying updated with industry trends.

The Operations Manager oversees data annotation workflows, mentors teams, monitors quality, optimizes processes, and implements strategic initiatives for efficiency and performance in AI training datasets.

The POD Technical Lead conducts advanced image annotation and quality assurance for dataset delivery, while mentoring junior staff and improving labeling processes.

Develop scalable full-stack applications, build APIs and microservices, maintain code quality, and participate in technical strategy decisions.

Develops and enhances software systems, analyzes user requirements, debugs software, and leads projects. Requires TS clearance.

As a DevSecOps Engineer, you will implement security practices in software workflows, automate testing, and ensure compliance.

As a Systems Engineer V, you will be responsible for systems engineering activities across the entire systems life cycle, ensuring technical integrity and quality while leading project engineering staff and coordinating with stakeholders.

The Systems Engineer IV is responsible for overseeing systems engineering activities throughout various life cycle phases, ensuring technical integrity, quality, and compliance with established processes while coordinating with government and other stakeholders.

Oversee financial health and operations, develop pricing strategies, ensure compliance with federal regulations, and refine financial models for a tech company.

The Data Annotation Specialist reviews and labels various data types for AI, working collaboratively while maintaining attention to detail.

Develops and enhances complex software systems, leads development teams, analyzes requirements, and ensures quality control for various software projects.

The Data Scientist II will analyze datasets, develop machine learning algorithms, create data visualizations, and collaborate with SMEs to enhance analytics processes and implement models.