Top Artificial Intelligence Jobs in Milan

Join Welo Data’s remote Zulu contributor network in South Africa. Projects may include annotating text, images, or audio; evaluating search results, advertisements, or chatbot responses; creating prompts for large language models; and ensuring cultural and linguistic accuracy. This is a talent-community application rather than an active opening, with project scope, timelines, and compensation provided when suitable work becomes available.

Join Welo Data’s remote Malayalam contributor network for future AI projects. Depending on project needs, contributors may annotate text, images, or audio; evaluate search results, advertisements, and chatbot responses; create prompts; and verify cultural and linguistic accuracy. Applicants need native or near-native Malayalam fluency, English proficiency, digital comfort, and strong attention to detail. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.

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 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 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 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.

Build and maintain full-stack internal tools, automated workflows, and customer-facing features using TypeScript, Node.js, and React. Integrate LLMs, AI services, third-party APIs, and external platforms. Use AI coding assistants to prototype, develop, test, and improve reliable software. Collaborate with internal users, product managers, designers, engineers, and the Chief AI Officer in an Agile environment while contributing to architecture, code reviews, UX, security, performance, and continuous improvement.

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.

Own new and existing automation machine solutions across Europe. Responsibilities include feasibility studies, solution specification, development project management, lifecycle ownership, documentation, manufacturing supervision, installation, integration, maintenance, troubleshooting, and customer support. The role requires field deployment experience, analytical problem-solving, agile execution, strong communication, and up to 80% travel in Northern Europe.

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 pre-sales engagements for Workday’s AI-driven HCM platform. Analyze prospect requirements, create tailored demonstrations, present the full HCM suite, explain trustworthy AI benefits, address objections, and collaborate with account executives and services teams to build transformation business cases. The role requires strong HCM expertise, enterprise AI understanding, excellent Italian and English communication, and the ability to manage complex sales cycles.

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.

Own relationships with 40–50 enterprise EMEA clients, leading onboarding, product adoption, usage monitoring, renewals, and account expansion. Help build scalable customer success playbooks, manage NRR and GRR KPIs, and contribute to team OKRs. The role requires demonstrating value for technical SaaS products, navigating complex stakeholder environments, solving customer challenges, and driving commercial outcomes.

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.

Leads pre-sales architecture and customer advisory for enterprise data and AI solutions using Salesforce Data Cloud and Agentforce. Designs integrations with hyperscalers, data lakes, external agents, and governance frameworks; develops prototypes, demos, prompts, and agent lifecycle strategies. Facilitates workshops, creates technical enablement content, and advises on data modeling, identity resolution, APIs, observability, and activation patterns. Supports early proof-of-value engagements and enables internal specialist teams.

Design, build, and scale a global voice and automation AI platform: implement STT/TTS and telephony stacks, integrate and optimize LLM APIs and RAG pipelines, create production-grade LLM orchestration and enterprise automation workflows, and support international deployment and delivery.

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.