Top Remote Entry Level Artificial Intelligence Jobs

Test web, mobile, backend, and AI products; design risk-based testing strategies; create test cases, checklists, and shared data; report, troubleshoot, prioritize, and triage bugs; own end-to-end testing; review requirements; collaborate with product and engineering throughout the SDLC; and advocate for quality and process improvements in a remote environment.

Prepare, review, and process invoices; verify billing information; maintain billing records; investigate and resolve discrepancies; answer basic billing questions; organize documentation; and collaborate with internal teams to resolve billing issues.

Lead a software engineering team supporting Unity on an Android-based device ecosystem. Own execution and technical strategy, optimize Unity runtime performance through benchmarking and analysis, collaborate with engine, platform, graphics, product, and external teams, and communicate progress and vision. Manage, mentor, and develop engineering talent while enabling AI-assisted development workflows and platform-specific experiences.

Own technical customer inquiries and escalations from intake through resolution. Investigate complex issues, troubleshoot APIs and integrations, identify root causes, and coordinate Engineering and Product teams. Translate customer and business needs into technical action plans, communicate solutions clearly, prioritize high-impact issues, and identify recurring product gaps. Build scalable processes, documentation, and tooling while helping customers successfully use Higgsfield’s AI products.

Build and own robot autonomy systems spanning task, behavior, path, and trajectory planning. Design long-horizon behavior architectures with recovery and operator handoff, coordinate multiple robots, integrate LLM/VLM reasoning safely, and define interfaces between learned policies and classical planners. Evaluate performance through simulation, log replay, regression testing, and real-robot field operation while collaborating across perception, controls, simulation, and platform teams.

Supports R&D mission-platform demos, prototypes, integrations, configurations, testing, and validation. Translates user and stakeholder feedback into actionable technical requirements, collaborates with engineers to refine cloud-native and containerized software, and explains technical concepts to diverse audiences. The role also supports documentation, technical briefings, event preparation, troubleshooting, and feedback prioritization for emerging defense and government solutions.

Write concise, emotionally intelligent horoscopes that connect readers to themselves and others. Distill complex human experience into clear, nuanced copy; revise to remove cliché; internalize and convey the brand voice across astrology content.

Lead platform product decisions to identify repeated engineering patterns, define shared systems and interfaces, and drive adoption of foundations that reduce duplication and increase team velocity.

Owns end-to-end development and operation of features across multiple products and technology stacks. Responsibilities include UI, APIs, server logic, infrastructure, deployment, testing, observability, documentation, and support. The engineer will build AI-agent infrastructure involving LLM streaming, tool orchestration, sandboxed execution, and security boundaries, while also developing wallet-based web3 authentication and authorization. The role requires independent delivery ownership and strong TypeScript, React, cloud infrastructure, CI/CD, and production operations experience.

Build end-to-end user features under senior guidance: implement REST endpoints in Node.js/TypeScript, microservices in Python, maintain PostgreSQL schemas, process background jobs with QStash/Upstash, deploy to Cloudflare Workers/Pages/R2, write tests, and collaborate with product/design on React UI components.