Top Artificial Intelligence Jobs in Portugal

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 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 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 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.

Designs, develops, and maintains cloud automations, RPA workflows, AI-powered solutions, and enterprise system integrations. Builds solutions with Microsoft Power Platform, Copilot Studio, Azure AI, SAP, Microsoft 365, SharePoint, and Dataverse. Develops REST APIs and custom connectors, troubleshoots existing solutions, participates in technical architecture, translates business requirements into scalable applications, and supports deployment, monitoring, and continuous improvement.

Own the reasoning core of an agentic AI platform by designing multi-agent workflows, prompt architectures, retrieval systems, evaluation harnesses, memory, tool use, guardrails, and failure recovery. Build production APIs and distributed services using Python, LangGraph, DSPy, LlamaIndex, MLflow, Neo4j, and PostgreSQL-based hybrid retrieval. Evaluate model and prompt performance, make architecture tradeoffs, and use AI coding agents extensively to develop, test, and improve production systems.

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.

Support clients and internal teams with business technology assessments, digital transformation initiatives, technology evaluations, business cases, and solution recommendations. Analyze business processes, requirements, operating models, and technology landscapes. Facilitate stakeholder interviews and workshops, manage assigned workstreams, maintain delivery documentation, support project planning and Agile governance, and collaborate with analysts, product managers, project managers, architects, and technology teams. Travel may be required for client engagements.

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.

Build and operate production multi-agent AI systems for customer service. Own agent prompts, orchestration, tools, evaluations, deployment, monitoring, authentication, guardrails, and transaction handling. Develop measurable quality frameworks, optimize model cost and latency, and integrate agents with booking, Salesforce, Genesys, and communication channels. Collaborate with engineering, data science, MLOps, product, and customer service teams while enabling broader adoption of agentic AI.

Own Rove Next’s email and lifecycle marketing function, including campaign calendars, flows, segmentation, deliverability, list health, quality control, and revenue optimization. Build practical AI workflows into daily marketing operations, collaborate with internal and external creative and advertising teams, and translate performance results into business recommendations. The role requires strong ecommerce or DTC marketing experience, premium brand judgment, excellent English copywriting, and familiarity with Klaviyo. Shopify, GA4, Meta Ads, and considered-purchase categories are preferred.

Designs large node-based AI workflows for image, video, audio, LLM, and multimodal content generation. Builds showcase demos, automates creative pipelines, integrates AI models and agents, develops user-friendly widgets, and collaborates with AI engineering, UX, and product teams. Responsibilities include prompt engineering, model chaining, workflow automation, AI editing, personalization, and production pipeline experimentation.

Build and optimize AI components and production pipelines for Sherpany products. Develop innovative AI features, integrate solutions with engineering and product teams, and ensure workflow performance, scalability, security, reliability, and compliance. Work with on-premises AI deployments, evaluate emerging technologies, mentor junior engineers, and establish best practices.

Own product direction, roadmaps, standards, metrics, execution, and outcomes for major areas of KIRA’s AI neobank app. Guide PMs, product owners, designers, and engineers across multiple squads while balancing UX, data, engineering, regulatory, operational, and business constraints. Lead product launches, quality improvements, prioritization, and post-launch learning across financial services including insurance, payments, savings, investing, and 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.

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.

Design, deploy, and optimize machine learning and AI solutions, including fine-tuning open-source and commercial LLMs, implementing RAG, and developing generative AI models. Conduct exploratory data analysis and feature engineering, apply traditional machine learning methods, validate solution quality, collaborate with engineers and stakeholders, and maintain technical documentation for reproducibility and knowledge sharing.