Top Entry Level Jobs

Supports attorneys throughout personal injury litigation by conducting legal research, gathering and reviewing evidence, drafting pleadings and discovery documents, managing case files and deadlines, coordinating with clients and experts, maintaining case management systems, and preparing exhibits and trial materials.

Build and maintain full-stack data engineering solutions supporting BioIntelliSense’s remote patient monitoring and clinical intelligence platform. The role likely involves processing health-monitoring data, enabling analytics, and supporting reporting for clinicians, patients, and employers. Specific responsibilities and qualifications are not provided in the description.

Provides administrative support for intellectual and developmental disabilities programs, including processing and tracking waiver and program documentation, preparing monthly reports, and assisting with scheduling, uploading, and preparing assessments. The role requires strong organization, communication, listening, multitasking, prioritization, and time-management skills while supporting multiple IDD programs.

Administers the college’s financial planning department, ensuring student aid is accurately awarded and disbursed. Responsibilities include collecting accounts receivable, supporting re-registration, completing internal audits, and processing student separations with proper documentation and notifications. The role requires knowledge of student aid programs and Title IV administration, along with strong organization, accuracy, customer service, and communication skills.

Gathers requirements, analyzes software architectures, documents functional designs and specifications, translates business needs for development teams, supports code reviews and defect tracking, and troubleshoots production issues. The role requires programming and query language knowledge, database management experience, strong communication and problem-solving skills, U.S. citizenship, ITAR compliance, and completion of background and drug screenings.

Designs and governs scalable AI/ML architectures supporting national security mission threads. Establishes reusable patterns across models, agents, retrieval, orchestration, data interfaces, evaluation, guardrails, observability, and human-in-the-loop workflows. Integrates enterprise capabilities, identifies architectural gaps, evaluates technologies, and sets technical standards. The role covers generative AI, LLMs, agentic systems, RAG, MLOps/LLMOps, secure AI, cloud infrastructure, microservices, and enterprise integration.

Lead pre-sales solutioning for Physical AI, primarily computer vision, video intelligence, spatial intelligence, and vision language models, with supporting robotics expertise. Engage customers, qualify opportunities, design solutions, build business cases, and develop proofs of concept and demonstrations. Enable sales teams, collaborate with technology partners, create technical content, and contribute to developing WWT’s Physical AI practice and repeatable offerings.

Manages the global journalism studies and practice publishing program, commissioning new and revised textbooks, professional books, and supplementary titles. Builds author relationships, evaluates proposals, researches academic and professional trends, and works with authors, production, marketing, and sales teams to meet publishing goals and deadlines. The role also involves conference attendance, potential campus travel, budgeting, financial analysis, and maintaining editorial standards.

Promote HomeStar home improvement products and services, develop direct sales strategies, engage prospective and existing customers, educate clients, participate in sales training, and pursue performance-based sales goals. The role includes comprehensive training, mentorship, commission opportunities, and a $5,000 bonus.

Build and operate data pipelines that integrate customer financial data from ERPs, warehouses, and payment systems. Develop AI agents that automate ERP implementations, partner with implementation teams to understand and transform customer data, and contribute to shared AI platform capabilities. The role requires strong full-stack engineering fundamentals, autonomous execution, and comfort working in an ambiguous, fast-moving environment.