Top Remote Jobs in Hampton, VA

Source and engage high-volume and specialized candidates for pharmacy, healthcare, patient services, and operations roles. Build talent pipelines, map labor markets, develop community partnerships, conduct AI-enabled searches, manage outreach campaigns, and deliver qualified candidate lists. Track sourcing metrics, share market insights, support recruiter handoffs, and provide a strong candidate experience while managing multiple requisitions and changing priorities.

Designs and prototypes scalable agentic AI architectures across Azure, AWS, or GCP. Responsibilities include multi-agent orchestration, LLM applications, RAG pipelines, memory and vector search, enterprise integrations, cloud-native engineering, code reviews, AI governance, security guardrails, and stakeholder leadership. The role requires hands-on development, framework evaluation, and translating business needs into production-ready AI platforms.

Build executive-facing dashboards, scalable data models, semantic layers, and reporting datasets using dbt, Looker, and SQL. Analyze large datasets, identify trends and anomalies, manage the Looker analytics platform, resolve data quality issues, and deliver analytics initiatives across business domains. Partner with product, engineering, finance, and operations stakeholders to define metrics and reporting solutions. Mentor junior analytics engineers and improve analytics standards and documentation.

Evaluates student financial aid eligibility, awards grants and loans, verifies Title IV documentation, calculates returned funding, completes Return to Title IV evaluations, resolves complex aid issues, and adjusts student accounts while maintaining regulatory compliance and performance standards.

Leads the InCommand Operations team supporting data center customers and sites. Responsibilities include managing and developing engineers, maintaining operating standards, leading customer and site implementations, building and validating facility data, using AI and automation for data workflows, supporting platform users, producing reports, coordinating with development teams, documenting defects, and testing releases. Requires data center experience, people management, project leadership, SCADA and construction-document knowledge, strong data skills, and customer communication abilities.

Manage partner brands through ServiceTitan onboarding, implementation, adoption, optimization, and long-term success. Lead project timelines and go-live execution, translate legacy workflows into scalable processes, train and coach operational teams, resolve escalations, review performance scorecards, and drive continuous improvement across multiple residential service brands.

Develop and optimize SQL query processing for a distributed database operating across petabytes of data and hundreds of nodes. Responsibilities include parsing, validation, optimization, execution, performance analysis, debugging, code reviews, design discussions, testing, and collaboration with engineering and customer operations teams. The role also supports process improvement, knowledge sharing, and mentoring fellow engineers.

Own product marketing for Qdrant’s developer-facing AI infrastructure, including positioning across self-serve, cloud upgrades, and enterprise sales. Develop buyer scenarios, competitive programs, sales enablement, win-loss research, AI-powered workflows, and launch messaging. Partner with Product, DevRel, Growth, Sales, and Partnerships to support activation, upgrades, enterprise deals, and customer insight programs.

The Senior QA Engineer will design and execute testing strategies for reporting systems, data extracts, and business intelligence outputs. Responsibilities include writing and reviewing complex SQL, tracing data lineage across source systems and ETL pipelines, validating calculations and metrics, investigating discrepancies, documenting defects, and maintaining test documentation and version-controlled scripts. The role collaborates with data engineers, reporting teams, and business stakeholders to improve data quality and ensure accurate, reliable reporting.

Conduct independent AI research spanning large language models, reasoning, knowledge acquisition, factuality evaluation, and trustworthy AI. Translate research ideas into scalable prototypes, implement and extend state-of-the-art methods, design experiments, develop algorithms and evaluation methods, use AI-assisted development tools, and communicate findings through technical reports and research papers.