Shape the Future of AI — Somali Talent Hub
Contributors will annotate, evaluate, and create prompts to improve AI systems. Projects vary in scope and complexity, contributing to more accurate and inclusive AI.
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Contributors will annotate, evaluate, and create prompts to improve AI systems. Projects vary in scope and complexity, contributing to more accurate and inclusive AI.
Contributors will annotate text, images, and audio to train AI systems and evaluate chatbot responses for quality. They will also create and test prompts to improve large language models and ensure cultural accuracy.
Contributors will annotate text, images, or audio and evaluate AI-generated responses for quality and relevance. They will also create and test prompts to improve large language models and ensure cultural and linguistic accuracy.
Contributors will annotate and label data, evaluate AI chatbot responses, and create prompts to improve large language models. The role focuses on ensuring linguistic and cultural accuracy for AI systems in Sanskrit.
Contributors will annotate text, images, or audio and evaluate AI chatbot responses for quality and relevance. They will also create and test prompts to improve large language models and ensure cultural and linguistic accuracy.
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Contributors will annotate text, images, and audio to train AI systems and evaluate chatbot responses for quality. They will also create and test prompts to improve large language models and ensure cultural accuracy.
Contributors will annotate text, images, or audio and evaluate chatbot responses to train AI systems. They will also create and test prompts to improve large language models and ensure cultural accuracy.
Contributors will annotate text, images, and audio to train AI systems and evaluate chatbot responses for quality. They will also create and test prompts to improve large language models and ensure cultural accuracy.
Build the infrastructure, tools, and guardrails to enable engineers to integrate AI agents into their software development lifecycle. Focus on ensuring AI-generated code is reliable through automated quality checks and systematic engineering processes.
Design and deploy custom AI chatbots, agents, and automated reports to eliminate administrative tasks for leadership. Architect and maintain a unified knowledge base to ensure accurate AI outputs and support business decision-making.
Lead the strategy and execution of agentic AI experiences for customers, clients, and colleagues. Manage a team of product managers to build, ship, and continuously improve AI agents using data-driven experimentation.
Lead the design and implementation of a production-grade agentic layer to enable AI agents to offer and fulfill refund solutions. This includes building RAG pipelines, MCP servers, and ensuring compliant AI outputs through guardrails and evaluation frameworks.
Own and drive the quality, reliability, and evolution of production AI systems, including the delivery of major AI features. Design and orchestrate agentic, tool-using AI workflows and manage prompt engineering and experimentation pipelines.
The role involves building and shipping end-to-end AI features, turning raw model outputs into reliable product behaviors. Responsibilities include designing agent workflows, optimizing for latency and cost, and developing evaluation frameworks.
The role involves building and shipping end-to-end AI features, from designing prompts and agent workflows to ensuring production reliability. You will be responsible for turning raw model outputs into structured behaviors and optimizing for latency and cost.
The role involves building and shipping end-to-end AI features, from designing prompts and agent workflows to ensuring production reliability. You will be responsible for turning raw model outputs into structured behaviors and optimizing for latency and cost.
The role involves building and shipping end-to-end AI features by turning model capabilities into reliable product behaviors. Responsibilities include designing agent workflows, optimizing for latency and cost, and debugging the full stack from model to UX.
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The role involves building and shipping end-to-end AI features, turning raw model outputs into reliable product behaviors. You will design prompts, tools, and agent workflows while optimizing for latency, cost, and production reliability.
The role involves building and shipping end-to-end AI features, transforming raw model outputs into reliable product behaviors. You will design agent workflows, optimize for latency and cost, and develop evaluation frameworks to measure real-world performance.
Own the inference and orchestration layer to build production systems that power AI interactions. Focus on designing stable APIs, optimizing latency, and managing production concerns like monitoring and incident response.
Design and operate the inference and orchestration layer to power AI interactions across mobile and desktop clients. Focus on optimizing latency, throughput, and reliability for production AI-powered features.
Own the inference and orchestration layer to build production systems that turn AI model capabilities into stable APIs. Focus on optimizing latency, throughput, and reliability for AI-powered features across mobile and desktop clients.
Own the inference and orchestration layer to build production systems that turn AI model capabilities into stable APIs. Focus on optimizing latency, throughput, and reliability for AI-powered features across mobile and desktop clients.
Build the product layer for AI-native workflows, focusing on agent design, tool integration, and system reliability. Develop end-to-end features across the frontend and backend to create proactive, goal-driven AI assistants.
Design and operate the inference and orchestration layer that powers AI interactions, focusing on latency, reliability, and cost. Build production systems to turn model capabilities into stable APIs for mobile and desktop clients.
Build and deploy production-grade AI-native product features and agent workflows that handle multi-step reasoning and tool use. Focus on improving system reliability, reducing latency, and creating proactive, goal-driven user experiences.
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Build the product layer for AI-native workflows, focusing on agent design, failure recovery, and real-time interactions. Collaborate with ML and backend teams to ship end-to-end features that move beyond simple chat into goal-driven workflows.
Build the product layer for AI-native workflows, focusing on agent design, tool integration, and system reliability. Develop end-to-end features across the frontend and backend to create proactive, goal-driven AI assistants.
Build and deploy production-grade AI-native product features and agent workflows that handle multi-step reasoning and tool use. Focus on improving system reliability, reducing latency, and creating proactive AI interactions for everyday users.
Build the product layer for AI-native workflows, focusing on agent design, tool integration, and system reliability. Develop end-to-end features across the frontend and backend to create proactive, goal-driven AI assistants.
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