Top Artificial Intelligence Jobs in Hamburg

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 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 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 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 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.

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.

Design, build, test, and improve plugin-based forecasting models from business need through production deployment. Own ML and modeling initiatives end to end, evaluate performance across customer environments, distinguish generalizable solutions from customer-specific requirements, and use AI-assisted engineering tools. Work autonomously with customers and cross-functional stakeholders in a distributed international team, with occasional travel.

Owns an AI-focused financial product vertical from strategy through launch, including roadmap, backlog, metrics, technical design, money-movement correctness, reliability, security, and scalability. Incorporates regulatory requirements such as KYC, sanctions screening, transaction monitoring, privacy, and data residency. Defines responsible AI usage, evaluation, human oversight, and failure handling while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Lead product direction, roadmaps, standards, metrics, and execution for major areas of KIRA’s AI Investing App. Guide PMs, product owners, designers, and engineers across multiple squads while balancing UX, data, engineering, regulatory, operational, and business constraints. Drive launch quality, post-launch learning, and continuous improvement across financial products including investing, payments, savings, insurance, and travel.

The Senior Solutions Engineer collaborates with customers to design and sell innovative internet solutions, manage technical queries, and support internal teams, focusing on cloud and security technologies.

Own product areas for KIRA’s AI stockbroking and financial-services applications. Define user problems, product strategy, scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; launch features; monitor performance; and continuously iterate using data, research, feedback, and production insights.

Lead customer onboarding projects for laboratories implementing AI-powered diagnostic software, coordinating product, ML, engineering, quality, IT, and clinical stakeholders through validation and go-live. Own project plans, risks, dependencies, and delivery dates. After launch, serve as the primary customer contact, managing support, monitoring engagement, coordinating issue resolution, and feeding customer insights into product planning. The role requires technical confidence, clinical or laboratory implementation experience, stakeholder leadership, and occasional international travel.

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 AI Investing product areas from user research and problem definition through roadmap planning, launch, measurement, and iteration. Partner with engineering, design, data, operations, compliance, and business teams to simplify financial products, make informed trade-offs, and deliver customer-focused features quickly. Use metrics, feedback, experiments, and production insights to improve outcomes across insurance, payments, savings, investing, travel, and related financial services.

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.

Design and improve mobile health coaching experiences focused on behavior change, AI-generated coaching, gamification, and user engagement. Collaborate cross-functionally to develop innovative UI/UX solutions, using user psychology, UX research, data analytics, and rapid experimentation to inform decisions. Generate and present original design hypotheses, validate solutions, and improve customer journeys, motivation, habits, and long-term loyalty.

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.