Top Artificial Intelligence Jobs in Bucharest

Join Welo Data’s remote Tagalog contributor network for future AI data projects. Work may include annotating text, images, or audio; evaluating search results, ads, or chatbot responses; creating prompts; and checking cultural and linguistic accuracy. Projects vary from several days to weeks, with scope, timelines, and compensation provided before each assignment.

Join a Portuguese-language AI contributor network for flexible, remote projects involving text, image, and audio annotation; search, advertising, and chatbot evaluation; prompt creation; and cultural or linguistic quality checks. Projects vary from several days to weeks, with compensation and timelines provided before each assignment. Applicants must be native or near-native Portuguese speakers based in Brazil or Portugal, proficient in English, comfortable with digital tools, detail-oriented, and curious about technology.

Join Welo Data’s contributor network for flexible, remote AI projects involving text, image, or audio annotation; search, advertisement, and chatbot evaluation; prompt creation; and cultural or linguistic quality review. Projects vary from several days to weeks, with task details, timelines, and compensation provided before each assignment. Candidates need native or near-native Flemish fluency, English proficiency, Belgian residency, digital tool comfort, and strong attention to detail.

Join Welo Data’s remote Sindhi AI trainer network for potential flexible projects involving text, image, or audio annotation; search-result, advertising, or chatbot evaluation; prompt creation and testing; and cultural and linguistic quality review. Contributors must be native or near-native Sindhi speakers based in India, proficient in English, comfortable with digital tools, detail-oriented, and curious. This is a talent-community opportunity rather than an active opening, with project details and compensation provided when assignments become available.

Join Welo Data’s Telugu AI contributor network for potential remote projects involving data annotation, search and chatbot evaluation, prompt creation, and cultural or linguistic quality review. Projects vary in length and compensation, with details provided before participation. Applicants must be based in India, fluent in Telugu and English, comfortable using digital tools, and detail-oriented.

Join a remote contributor network supporting AI training projects through text, image, and audio annotation; search, advertising, and chatbot evaluation; prompt creation; and cultural and linguistic quality review. Projects vary from several days to weeks, with scope, timelines, and compensation provided before each assignment. Native or near-native Kazakh fluency, English proficiency, digital tool comfort, and strong attention to detail are required.

Join Welo Data’s remote Afrikaans contributor network to support AI training projects through text, image, or audio annotation; search, advertising, and chatbot evaluation; prompt creation; and cultural and linguistic quality review. Projects vary from several days to weeks, with compensation and timelines provided before each assignment. This is a talent-community application rather than an active job opening.

Join Welo Data’s Croatian talent network for potential remote AI projects involving text, image, or audio annotation; search, advertising, and chatbot evaluation; prompt creation; and cultural or linguistic accuracy reviews. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation. This is a talent community registration rather than an active job opening.

Join Welo Data’s remote Hausa AI contributor network for future projects involving data annotation, search and chatbot evaluation, prompt creation, and linguistic or cultural accuracy review. This is not an active opening; selected contributors will receive project details, timelines, and compensation when suitable work becomes available.

Join Welo Data’s Basque contributor network for potential remote AI projects involving data annotation, search and chatbot evaluation, prompt creation, and linguistic or cultural quality review. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation. This is a talent-network opportunity rather than an active job opening.

Join Welo Data’s remote Yoruba AI contributor network based in Nigeria. Projects may involve annotating text, images, or audio; evaluating search results, advertisements, or chatbot responses; creating prompts for large language models; and reviewing cultural and linguistic accuracy. Project duration, scope, timelines, and compensation vary. This is a talent community opportunity rather than an active job opening.

Join Welo Data’s Russian-language AI contributor network for flexible, remote projects involving text, image, and audio annotation; search, ad, and chatbot evaluation; prompt creation; and cultural and linguistic quality review. This is not an active opening. Contributors are contacted when suitable projects become available and receive project-specific details about tasks, timelines, and compensation.

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.

Lead 0-to-1 product development for Kimchi’s AI coding and infrastructure products. Responsibilities include identifying high-value customer problems, conducting discovery, validating hypotheses, prioritizing opportunities, partnering with engineering and design, defining success metrics, driving adoption, and communicating product direction. The role requires strong judgment in ambiguous, rapidly changing technical markets and hands-on use of modern AI tools.

Lead engineering execution and technical direction while remaining approximately 75% hands-on. Responsibilities include developing LLM- and AI-powered products, coding, code review, debugging, platform performance, sprint planning, cross-functional coordination, technical mentorship, recruiting, and supporting engineers’ growth. The role partners closely with founders and product teams and offers a path toward Engineering Manager responsibilities.

Staff AI Engineer in dLocal’s AI Lab responsible for scouting, prototyping, benchmarking, and evaluating emerging AI technologies. Builds evaluation harnesses and experimental systems for LLMs, agents, retrieval, and orchestration; assesses quality, cost, latency, security, and reliability; and produces adoption recommendations. Defines guardrails and readiness guidance, coordinates production hand-offs, supports governance, mentors engineers, and communicates findings to technical and non-technical stakeholders.

Leads global commercial customer data governance, Customer 360 strategy, segmentation, data quality, reporting, and insight initiatives. Owns customer definitions and hierarchies across SAP and Salesforce, establishes governance and KPI standards, and aligns reporting and analytics investments with business value. Partners cross-functionally to improve data quality, reporting adoption, forecast accuracy, and AI readiness while driving change management and value realization across the commercial organization.

Develop and optimize AI features for a GenAI English-language learning assistant using agentic workflows. Build Python and FastAPI backend services, integrate Azure and AWS cloud resources, implement monitoring and observability, maintain CI/CD pipelines, and deploy scalable applications with Docker. Collaborate across teams to define requirements and deliver reliable features while following SDLC and agile practices.

Lead AI transformation across Sales, Marketing, Customer Success, Partnerships, and Revenue Operations. Identify high-value opportunities, design and deploy production AI agents, agentic workflows, automations, integrations, and enterprise solutions, then drive adoption and measure business impact. Partner with functional leaders, make sound decisions about AI suitability, redesign operating models, improve reliability and governance, and mentor colleagues while establishing reusable standards across the organization.

Own product marketing for Cyara’s Agentic AI assurance products, including positioning, messaging, go-to-market launches, competitive intelligence, sales enablement, technical content, and cross-functional collaboration. The role targets enterprise buyers through sales-led motions and requires measurable pipeline impact, strong writing and presentation skills, and comfort working with technical teams. Experience in AI, contact centers, QA, testing, observability, or monitoring is advantageous.

Produces daily 60–90 second AI-generated micro-drama episodes for TikTok, Instagram Reels, and YouTube Shorts. Responsibilities include developing striking visuals, consistent characters, natural voices, audio, purposeful editing, and story-driven visual styles. The role requires prompt engineering, strong editing fundamentals, independent execution, fast delivery, and familiarity with vertical video. Experience in traditional video production, dramaturgy, end-to-end AI video creation, and short-form drama is advantageous.

Designs and deploys production-grade AI software, including agentic systems, generative AI pipelines, secure microservices, REST APIs, and RAG applications. Responsibilities include Kubernetes and CI/CD management, containerized deployments, GPU and CUDA optimization, technical architecture, effort estimation, technology scouting, mentoring, and engineering standards. The role supports security and intelligence projects involving machine learning, deep learning, NLP, computer vision, and multimodal AI.

Own end-to-end infrastructure delivery for strategic physical AI customers, from discovery and architecture through production rollout. Build cloud compute orchestration, platform services, onboarding environments, observability, security, and cost controls for simulation, training, inference, and batch workloads. Debug across infrastructure layers, productize recurring customer needs, and shape the physical AI platform roadmap. Partner with customers, Field CTO, Product, and Engineering while using AI coding tools to accelerate production engineering.

Creates technical documentation, implementation guides, whitepapers, product content, landing pages, and blog posts covering AI infrastructure, GPU computing, cloud infrastructure, enterprise hardware, cybersecurity, and related technologies. Researches complex technical subjects, collaborates with technical experts, validates accuracy, and translates specifications and architecture concepts into clear content for engineers, IT professionals, architects, and technology decision-makers.

Partner with stakeholders to identify and prioritize AI use cases, map current and future business processes, assess feasibility and value, recommend build/buy options, and ensure solutions meet architecture, data, security, governance, and responsible AI requirements. Act as a bridge between business, IT, data science, and delivery teams.