Top Remote Entry Level Jobs

Build and manage multichannel digital marketing campaigns for B2B clients, including lead nurture, email, social, paid, and organic campaigns. Configure and troubleshoot marketing technology platforms, maintain data integrity, develop lead scoring and performance dashboards, analyze attribution, and report campaign results to clients. The role also researches martech opportunities, coordinates client feedback, and supports marketing strategy within regulated industries.

Atlas Technica is building a talent community for future U.S. opportunities across IT, engineering, cloud and Microsoft technologies, cybersecurity, project engineering, client support, AI, finance, operations, people, talent, sales, and corporate functions. Candidates should demonstrate ownership, execution, growth, communication, collaboration, judgment, problem-solving, customer focus, and alignment with company values. Community submission is not an application for a current opening and does not guarantee employment.

Supports daily cash positioning, bank portal users, wire and ACH payments, fraud filter reviews, electronic deposits, bank and credit card fee reporting, cash-flow forecasting, and bank account maintenance. Partners with treasury, accounting, tax, payroll, accounts payable, accounts receivable, and banking teams. Assists with borrowing decisions, acquisitions, cash management projects, and other treasury activities.

Part-time AI Application Engineer focused on measuring and improving healthcare AI agent performance in production. Responsibilities include instrumenting agent quality, identifying failure points, designing experiments, analyzing results, and partnering with clinical experts to improve patient outcomes. The role requires Python, strong analytical judgment, comfort with ambiguity, and interest in healthcare. Clinical experience is valued but not required. Engagement is structured as a paid internship or contract role with weekly Bay Area office syncs.

Manage and grow high-value B2B affiliate partnerships in the US, owning the full relationship lifecycle from negotiations and outreach through execution, reporting, invoicing, and financial management. Analyze large campaign and revenue datasets to optimize ROI, identify acquisition insights, and monitor performance. Collaborate with publishing, marketing, operations, finance, and analytics teams while resolving client issues and maintaining enterprise relationships.

Identify, qualify, and develop new business opportunities across the Americas. Build sales pipelines through phone outreach, email campaigns, market intelligence, and customer discovery. Manage sales qualification, support marketing activities and events, maintain CRM and sales administration records, and communicate effectively with prospective customers. The role requires ERP sales experience, particularly with SAP Business One or Microsoft Business Central, strong sales management skills, customer focus, presentation ability, and willingness to travel.

Manage end-to-end medical-record retrieval for legal and healthcare customers. Coordinate with provider offices, ensure accurate and compliant record sets, maintain retrieval playbooks, reduce turnaround times, and identify workflow improvements. Collaborate with engineering, product, and teammates to standardize processes and support automation.

Selects, orders, installs, upgrades, and maintains manufacturing equipment. Evaluates equipment performance and reliability, develops uptime improvement solutions, provides technical support, creates preventive maintenance schedules, coordinates vendors and team activities, mentors junior staff, and reports project status to management.

Handles high-volume inbound sales calls from small businesses, identifies needs, recommends and cross-sells business supplies and services, and accurately processes orders. Meets revenue, customer experience, and time-management metrics while using Salesforce, Microsoft Office 365, and multiple order systems. Builds rapport, solves problems creatively, and delivers engaging customer experiences in a fast-paced environment.

Build and deploy deep-learning models for financial market data, owning the full workflow from raw data and experiments through daily production inference. Responsibilities include managing small-scale GPU infrastructure, conducting leakage-proof and regime-aware evaluations, reproducing research, reading recent AI literature, and communicating findings. The role requires strong ML fundamentals, Python and PyTorch expertise, hands-on infrastructure skills, rigorous experimentation, and self-directed remote work. Trading experience is not required.