Top AI & Machine Learning Jobs

Build and ship production AI agents that help mobile app developers manage subscriptions and paywalls. Own agent orchestration, tool execution, context management, evaluation, observability, permissions, and human-in-the-loop controls. Develop reliable, secure, user-facing backend systems, scope projects independently, monitor adoption, improve features after launch, participate in architecture and incident response, and mentor engineers.

Leads the AI Services business, defining and executing enterprise AI strategy, developing AI-centric products and platforms, overseeing AI-focused sales and delivery teams, driving industry thought leadership, and building talent recruitment and upskilling programs. The role partners across vertical and service-line teams to accelerate AI adoption, growth, profitability, and innovation.

Customer-facing engineer who designs, builds, and productionizes GenAI applications (RAG, multi-agent, Text2SQL, fine-tuning). Own production rollouts, advise customers, collaborate with product and engineering, present at conferences, and optimize/evaluate models and deployments across cloud platforms.

The role involves developing AI models to enhance clinical trials by connecting molecular data with clinical outcomes and supporting decision-making processes in drug development.

Join Welo Data’s Swedish AI Trainers Network as a flexible, remote contributor. Participants may annotate text, images, or audio; evaluate search results, advertisements, and chatbot responses; create prompts; and review cultural and linguistic accuracy for AI systems. This is a talent community rather than an active opening. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.

Join Welo Data’s remote contributor network for future AI data projects involving text, image, or audio annotation; search, ad, and chatbot evaluation; prompt creation; and cultural or linguistic accuracy review. Contributors must have native or near-native Twi 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.

Contribute to AI data projects through language data annotation, evaluation, and instruction creation. Work remotely with flexible hours to help develop more inclusive and capable AI systems. Applicants must be native or near-native Simplified Chinese speakers living in China, Canada, the United States, or Malaysia, with fluent English, comfort using digital tools, strong attention to detail, and curiosity.

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.

This Software Engineer role focuses on data collection for model training at Speechify, requiring skills in data ingestion, cloud infrastructure, and collaboration with AI team members.

Partners with engineering, product, and business teams to frame problems, perform exploratory analysis, build statistical and machine learning models, write production code, run experiments, analyze data, communicate findings, and support launch decisions.

Build and own production AI-powered products across the frontend, backend, data, and cloud stack. Design multi-agent systems and RAG pipelines, orchestrate AI workflows, and deploy reliable, scalable features. Responsibilities include model serving, latency and cost optimization, prompt engineering, model evaluation, cloud infrastructure, and end-to-end product development using React, Node.js, PostgreSQL, and major cloud platforms.

Conduct applied computer vision and deep learning research for automated construction drawing takeoff and estimation. Own a scoped research problem, train and evaluate models for detection, segmentation, or structured extraction, explore self-supervised learning and multimodal signals, develop prototypes using real data, design evaluations, and present findings to the research team.

Own end-to-end computer vision and AI research for automated construction takeoff and estimation. Develop deep learning models for object detection, segmentation, structured extraction, and multimodal understanding of vector and raster drawings. Build evaluation frameworks, train models at scale, make data-labeling decisions, assess current research, and productionize successful models. The role requires strong Python and PyTorch skills, GPU and distributed training experience, and practical computer vision expertise.