Top Remote Entry Level Artificial Intelligence Jobs

Own the full enterprise sales cycle for new Fortune 500 customers, from discovery through close. Generate pipeline, navigate complex multi-stakeholder deals, engage CIOs and CTOs, run MEDDICC or BANT qualification, develop ROI narratives, and partner with AI Solutions Consultants on technical validation. The role focuses on selling AI software development platforms to engineering and technology organizations while exceeding revenue targets.

Lead customer robot deployments from workflow discovery and site assessment through scoping, financial modeling, technical alignment, execution, acceptance testing, training, and handoff. Partner with engineering, research, safety, solution engineering, customers, and external teams to define requirements, success metrics, dependencies, and milestones. Translate field feedback into deployment practices while managing scope changes, implementation tradeoffs, customer value, utilization, and support needs.

Freelance writers summarize recent machine learning research papers for The Batch, an AI newsletter reaching over two million professionals and students. Writers must understand machine learning technology, explain complex research clearly in an established format, and communicate effectively in English. The role is intended for graduate students and postdocs in machine learning, with negotiable freelance compensation.

General application for future opportunities at a remote open-source consulting company. Potential work includes software engineering, scientific computing, AI/ML, data engineering, DevOps, developer tooling, frontend development, technical writing, design, and community engagement. Quansight welcomes professional, research, educational, personal-project, and open-source experience, including early-career and internship interest.

Build and deploy full-stack software for military logistics customers. Own features from concept through deployment, integrate with existing systems, improve reliability and performance, collaborate across engineering and product teams, and work directly with end users. The role involves customer-facing engineering, operational problem solving, cloud and edge deployments, and approximately 25% travel for deployments, field testing, and support.

Build and deploy AI-powered solutions for clients by scoping ambiguous problems, designing LLM workflows, integrating data and retrieval systems, and creating scalable production tooling. Collaborate with technical and non-technical stakeholders, iterate based on operator feedback, optimize workflows, and support customer deployments. The role requires strong Python and software or ML engineering skills, production deployment experience, communication abilities, customer on-call availability, travel as needed, and hybrid office attendance.

Own expansion revenue across existing dealership accounts by selling additional products and expanding into more locations within dealer groups. Responsibilities include building account relationships, identifying growth opportunities, running demos, creating proposals, negotiating and closing deals, partnering with customer success, and sharing customer feedback. The role requires quota-carrying sales or account management experience, a record of achieving expansion or upsell targets, and experience selling to automotive dealerships.

Create narrative-driven short-form videos from concept through final delivery. Responsibilities include pitching ideas, developing hooks and scripts, editing raw footage, directing non-actors, planning shoots, integrating live action with product captures and motion graphics, creating alternate cuts for testing, and delivering polished social and campaign content using professional editing, motion graphics, and AI-powered creative tools.

Supports customers through ticket triage, emergency phone support, technical guidance, and best-practice consultation. Processes customer materials through glossary development tools, validates glossaries using human and machine testing, and assists with customer success workflows, tracking, reporting, and sales data requests. The role is fully remote and focused on helping clients deliver accurate real-time translation events.

Supports sales by leading technical evaluations, product demonstrations, customer debugging, and complex technical engagements. Translates business needs into Harness solutions, communicates value propositions to executive and technical audiences, responds to RFIs and RFPs, represents the product at field events, and conveys customer requirements to Engineering. Requires cloud knowledge, Terraform experience, software development or DevOps experience, strong presentation skills, and travel throughout the sales territory.