Top Remote Jobs in Romania

Build and maintain partnerships with Romanian schools and educational institutions. Responsibilities include prospecting decision-makers, presenting educational programs, negotiating agreements, updating CRM information, attending education events, and expanding the Romanian partner network. The role is fully remote, requires native-level Romanian and working English or Russian, and includes occasional domestic travel.

Own the Vault product roadmap and lifecycle for a sports media asset platform. Lead discovery with customers, define solutions for content ingest, storage, integrations, AI enrichment, metadata, search, rights, and asset monetization. Partner closely with engineering, sales, and customer success, attend customer events, and prioritize product bets that help sports organizations maximize the value of extensive media archives.

Corti is seeking passionate individuals to join their talent community, shaping the future of healthcare through AI technologies. Opportunities include roles in AI technology, machine learning, and software development, focusing on reducing errors and improving patient outcomes.

Creative Producers manage end-to-end video, static, and social media content production for external clients and brands. Responsibilities include translating client objectives into creative briefs, guiding creative teams, developing concepts, overseeing quality, managing timelines and resources, presenting solutions, incorporating feedback, and improving production workflows. The role requires hands-on video production experience, client-facing communication, creative judgment, and at least two years of producer and creative team leadership experience.

Develop and own C/C++ software for data center switching platforms, including architecture, implementation, testing, debugging, documentation, and customer support. Work closely with hardware and networking teams on forwarding ASICs, FPGAs, embedded systems, drivers, and performance-critical datapath features. Participate throughout the software development lifecycle, from requirements gathering through production delivery.

Lead research and production development of LLMs and transformer models for machine translation and language quality. Design evaluation frameworks, agentic NLP workflows, training pipelines, and model-provider strategies. Own flagship model programs from data curation through production integration, mentor researchers, review technical work, and collaborate with Product and Engineering to ship capabilities. The role requires deep NLP and LLM expertise, rigorous experimentation, strong Python and ML library skills, and technical leadership.

Supports students from onboarding through graduation by providing high-touch assistance, moderating live virtual sessions, answering program questions, monitoring learner progress, and removing blockers. Manages cohort logistics, resources, feedback collection, and Voice of the Customer reporting. The role also identifies workflow improvements, coordinates with technical teams, and helps optimize support systems and customer-facing processes.

Operate and scale GoDaddy’s OpenStack-based global hosting infrastructure across compute, networking, and storage. Lead migration tooling, validation, and rollback strategies; automate operational tasks with Python and Puppet; improve observability; participate in on-call and incident response; conduct blameless post-incident reviews; review designs, document systems, mentor junior SREs, and support AI-assisted operational workflows.

Develop scalable APIs, microservices, and integrations with external APIs across multiple continents. Responsibilities include writing maintainable code, optimizing application performance, translating stakeholder requirements into technical solutions, and evaluating emerging technologies for an e-commerce platform. The role requires expertise in JavaScript, Node.js, data storage, queuing systems, automated testing, Git, cloud services, Linux, and CI/CD, with Kubernetes ecosystem experience as a bonus.

Own the full lifecycle of machine learning features, including research, experimentation, training, deployment, monitoring, and production optimization. Build ML infrastructure for payment routing, establish reliable MLOps practices, partner with product, data, engineering, and customers, mentor engineers, and guide technical priorities. Apply statistical thinking, A/B testing, pragmatic model evaluation, and reinforcement learning concepts in a remote-first environment.