Top Artificial Intelligence Jobs

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 contributor network for flexible, remote AI projects involving text, image, or audio annotation; search, advertising, and chatbot evaluation; prompt creation; and cultural or linguistic quality review. Projects vary from several days to weeks, with scope, timelines, and compensation provided before each assignment. Native or near-native English fluency, United States residency, digital-tool comfort, curiosity, and strong attention to detail are required.

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.

Leads AI/ML engineering teams across platform and delivery pods, managing employees and contractors while enforcing code, agent, review, and production-readiness standards. Partners on reusable templates, pipelines, and evaluation processes, ensures adoption across teams, manages contractor performance and conversion, and removes delivery blockers. The role requires hands-on credibility reviewing agent architectures, prompts, and evaluation suites, with experience operating as a player-coach in fast-moving organizations.

Build production AI agents and agent-powered features from research and prototyping through deployment. Develop evaluation infrastructure with golden datasets, regression suites, and offline/online scoring. Own retrieval and context pipelines, production instrumentation, failure taxonomies, and cost and latency budgets. Partner with data science and product management on experiments and agent behavior, while establishing LLM engineering patterns, guardrails, and reusable tooling.

Leads an engineering team developing AI-native cybersecurity products and capabilities. Defines technical vision and architecture for agentic AI, LLM, retrieval, reasoning, and autonomous security solutions. Drives concepts from rapid experimentation through enterprise production while ensuring security, reliability, scalability, governance, and evaluation. Partners with product, UX, researchers, customers, and executives; remains hands-on in architecture and implementation; and builds a high-performing team across AI/ML, distributed systems, and cybersecurity.

Designs, builds, and integrates ride-experience platforms and microservices. Develops and improves APIs, performance, monitoring, testing, validation, and documentation. Troubleshoots application and platform issues, contributes to architecture and technology roadmaps, and manages project priorities, deadlines, and deliverables.

Lead the design, development, deployment, and support of foundational AI systems, including LLM training and inference, similarity search, guardrails, evaluation, governance, and observability. Develop optimization techniques that improve scalability, cost, latency, throughput, and hardware utilization. Partner with engineering, research, product, and program teams while contributing to AI platform strategy, technical vision, and long-term roadmaps.

Lead the design, development, testing, deployment, and support of foundational AI systems, including model training, LLM inference, similarity search, guardrails, evaluation, governance, and observability. Optimize large-scale production AI systems for scalability, latency, throughput, cost, and hardware utilization. Collaborate with engineering, research, program management, and product teams while shaping the technical vision and roadmap for responsible AI platforms.

Lead architecture and technical strategy for an agentic AI claims automation platform. Define end-to-end architecture, enable multi-agent workflows, integrate models and MLOps, ensure governance, resilience, observability, and cost efficiency, and mentor architects while aligning with enterprise AI standards.

Own the end-to-end product management cycle, including customer discovery, user interviews, solution definition, product requirements, AI prototyping, engineering collaboration, feature launches, and communicating product value. The role focuses on rapidly delivering mobile and web products that improve construction workflows, using data and decisive ownership to address complex customer and operational needs.

Design and deploy machine learning systems for data analysis, document management, client intelligence, NLP, speech recognition, forecasting, reinforcement learning, and recommendations. Build scalable ML frameworks, conduct experiments, evaluate and monitor models, perform A/B testing, and deploy production solutions across cloud platforms. Develop CI/CD pipelines, containerized services, automated hyperparameter searches, testing frameworks, and data quality metrics while collaborating with partner teams.

Lead and develop a distributed team of 8–12 product designers delivering AI-powered workflows across product and revenue experiences. Set quality standards, guide design strategy, lead critiques and coaching, partner cross-functionally on roadmaps and tradeoffs, and ensure usability, accessibility, consistency, and launch readiness. Hire and develop talent while staying close to design decisions and using AI-assisted tools to improve exploration, prototyping, synthesis, documentation, and collaboration.

Leads customer experience strategy and experience-led growth initiatives for clients and internal teams. Develops executive narratives, points of view, journey maps, service blueprints, strategic frameworks, and future-state prototypes. Integrates responsible AI into CX strategies, balancing automation, human judgment, trust, risk, and business outcomes. Facilitates executive workshops, directs research and competitive analysis, influences stakeholders, mentors peers, and supports solution development and buying decisions.

Lead enterprise Connected Strategy execution, moving AI, data, and digital initiatives from pilot to scaled adoption. Manage prioritized portfolios, remove delivery barriers, establish governance and acceleration mechanisms, align cross-functional teams, and report risks and outcomes to senior executives. Drive connected factory and product maturity, implement scalable analytics solutions, support change management and adoption, ensure regulated-environment compliance, and deliver measurable business value and ROI across RTX.