Top AI Jobs in Belfast

Join Welo Data’s Cantonese AI Trainers Network to support AI data annotation, evaluation, and prompt creation. Work remotely with flexible hours while contributing language and cultural expertise to improve AI systems. Applicants should be native or near-native Cantonese speakers living in Hong Kong, Macau, mainland China, or Malaysia, with strong English skills, digital tool proficiency, attention to detail, and curiosity.

Join Welo Data’s Nepali contributor network for flexible, remote AI data projects. Depending on project needs, contributors may annotate text, images, or audio; evaluate search results, advertisements, or chatbot responses; create prompts for large language models; and review cultural and linguistic accuracy. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.

Join Welo Data’s contributor network for flexible, remote AI projects involving text, image, or audio annotation; search, ad, and chatbot evaluation; prompt creation; and cultural and linguistic accuracy review. Candidates need native or near-native Kannada fluency, English proficiency, digital tool 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 Vietnamese AI contributor network for potential remote projects involving text, image, or audio annotation; search, advertising, and chatbot evaluation; prompt creation; and cultural and linguistic quality review. This is not an active opening. Projects vary in duration and compensation, with details provided before participation.

Join a remote global contributor network supporting AI data projects. Depending on project needs, you may annotate content, evaluate search results or chatbot responses, create prompts, and verify cultural and linguistic accuracy. Projects range from a few days to several weeks, with scope, timelines, and compensation provided before participation.

Operate from the CEO Office to turn CEO priorities into execution across product, hiring, licensing, partnerships and launches. Track OKRs, decisions, blockers and owners; prepare briefs, updates and action trackers; coordinate cross-functional teams; identify and close execution gaps; and own urgent cross-departmental business problems.

Own outbound sales for a PropTech AI product: cold outreach, qualify leads, book discovery calls and demos, manage CRM activity, refine sales playbook, and scale into a full-cycle closing role.

Investigate problems across live Roblox games, including discovery, CTR, retention, monetization, progression, UX, and gameplay. Use AI, research, competitor analysis, player behavior, and judgment to generate many potential solutions, eliminate weak ideas, and present concepts worth implementing. Track implemented ideas and outcomes to improve decision-making over time. The role rewards each successfully implemented idea with a $500 bonus and may eventually involve teaching future Frackers.

Own an AI investing product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering, compliance, finance, treasury, operations, and design to build reliable, auditable financial products. Shape APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling while incorporating KYC, monitoring, limits, privacy, and licensing requirements. Apply AI responsibly through evaluation, safeguards, human oversight, and clear failure handling.

Owns an AI stockbroking product vertical end to end, including strategy, roadmap, technical design, delivery, regulatory requirements, AI evaluation, reliability, and launch. Partners with engineering, design, compliance, operations, treasury, and finance to build trusted financial products involving payments, trading, financial rails, and real-money transactions.

Own an AI neobank product vertical end-to-end, including strategy, roadmap, technical design, delivery, metrics, and launch. Partner with engineering on APIs, data flows, ledgering, reliability, security, and scalability. Integrate regulatory requirements across KYC, transaction monitoring, privacy, and licensing. Apply AI with evaluation, safeguards, human oversight, and failure handling while coordinating engineering, design, compliance, operations, treasury, and finance.

Own a financial product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Integrate regulatory requirements across KYC, monitoring, limits, privacy, and licensing. Apply AI and LLMs with evaluation, safeguards, oversight, and reliability controls while aligning compliance, operations, treasury, finance, design, and engineering.

Own an AI stockbroking product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, security, scalability, and failure handling. Integrate KYC, transaction monitoring, privacy, licensing, and regulatory requirements. Apply AI with evaluation, safeguards, and human oversight while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own an AI investing product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with Engineering, Compliance, Operations, Treasury, Finance, and Design to build reliable, auditable financial products. Manage APIs, data flows, ledgering, reconciliation, security, scalability, regulatory requirements, third-party dependencies, and AI safeguards. Drive trade-offs across correctness, speed, cost, reliability, compliance, and user experience.

Build and lead an AI-native consumer investing business, defining its proposition, roadmap, business model, and investment experiences. Own P&L, assets, customers, engagement, revenue, and unit economics while partnering with product, engineering, and AI teams. Develop AI-powered investment research, discovery, portfolio management, and decision support. Build investing, technology, product, and commercial teams, then expand into new investment products and markets.

Owns an AI finance product vertical end-to-end, including strategy, roadmap, technical design, delivery, launch, metrics, and regulatory readiness. Partners with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Applies AI with evaluation, safeguards, human oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance. Requires experience with complex technical products, regulated financial domains, and AI or LLM-powered products.

Own a financial product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Incorporate regulatory requirements, financial rails, and third-party dependencies. Apply AI and LLMs with evaluation, safeguards, human oversight, and reliability controls while aligning cross-functional teams.

Own a financial product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reliability, security, scalability, and failure handling. Embed regulatory requirements across KYC, monitoring, limits, privacy, and licensing. Apply AI and LLMs with evaluation, safeguards, oversight, and reliability controls while aligning compliance, operations, treasury, finance, design, and engineering.

Own an AI investing product vertical end-to-end, including strategy, roadmap, technical design, delivery, metrics, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Embed regulatory requirements across KYC, monitoring, limits, privacy, and licensing. Apply AI with evaluation, safeguards, human oversight, and reliability controls while aligning compliance, operations, finance, treasury, and design.

Owns an AI neobank product vertical end-to-end, including strategy, roadmap, technical design, delivery, regulatory requirements, AI evaluation, reliability, and launch. Partners with engineering, compliance, operations, treasury, finance, and design across payments, remittance, insurance, wealth, and trading products. Must balance correctness, scalability, security, user experience, cost, speed, and regulatory constraints in high-consequence financial systems.

Own an AI-native stockbroking product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reliability, security, and scalability. Incorporate regulatory requirements across KYC, monitoring, limits, privacy, and licensing. Apply AI with appropriate evaluation, safeguards, oversight, and failure handling while aligning engineering, compliance, operations, finance, and external partners.

Build and lead an AI-native stockbroking business, defining its proposition, roadmap, business model, and AI-powered investing experiences. Own P&L, funded accounts, assets, trading activity, revenue, unit economics, brokerage infrastructure, custody, market data partnerships, licensing, regulatory readiness, and expansion. Collaborate with product, engineering, and AI teams, while recruiting and scaling the core team.

Build and lead BJAK’s AI-native finance business, defining product strategy, roadmap, business model, and market expansion. Identify financial workflows improved by AI, develop products from concept through scale, and own P&L, growth, revenue, unit economics, and operations. Collaborate with product, engineering, and AI teams while building cross-functional teams across technology, operations, and commercial functions.

Own an AI stockbroking product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reliability, security, scalability, and failure handling. Integrate regulatory requirements across KYC, transaction monitoring, limits, privacy, and licensing. Apply AI responsibly with evaluation, safeguards, human oversight, and clear failure handling while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Build and lead an AI-native stockbroking business, defining its proposition, product roadmap, business model, and AI-powered investing experiences. Own P&L, growth, trading activity, revenue, unit economics, brokerage infrastructure, partnerships, licensing, regulatory readiness, and market expansion. Collaborate with product, engineering, and AI teams while building the core team and scaling technology products and operations.