Shape the Future of AI — Finnish Talent Hub 42 applicants
Contributors will annotate, label, and evaluate data to train and improve AI systems. They will also create and test prompts to enhance the accuracy and inclusivity of large language models.
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Contributors will annotate, label, and evaluate data to train and improve AI systems. They will also create and test prompts to enhance the accuracy and inclusivity of large language models.
Contributors will annotate and label data to train AI systems and evaluate the quality of search results and chatbot responses. They will also create and test prompts to improve the performance of large language models.
Contributors will annotate, label, and evaluate data to help train and improve AI systems. They will also create and test prompts to enhance the accuracy and inclusivity of large language models.
Contributors will annotate and label text, images, or audio to train AI systems. They will also evaluate search results and chatbot responses while creating prompts to improve large language models.
Contributors will annotate or label data to train AI systems and evaluate the quality of search results and chatbot responses. They will also create and test prompts to improve the performance of large language models.
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Contributors will annotate and label data to train AI systems and evaluate the quality of search results and chatbot responses. They will also create and test prompts to improve large language models while ensuring cultural and linguistic accuracy.
Contributors will annotate, label, and evaluate data to train and improve AI systems. They will also create and test prompts to ensure AI responses are accurate, inclusive, and human-centered.
Contributors will annotate and label data to train AI systems and evaluate the quality of search results and chatbot responses. They will also create and test prompts to improve the performance of large language models.
Contributors will annotate and label text, images, or audio to train AI systems. They will also evaluate search results and chatbot responses while creating prompts to improve large language models.
Contributors will annotate and label text, images, or audio to train AI systems. They will also evaluate search results and chatbot responses while creating prompts to improve large language models.
Contributors will annotate and label data to train AI systems and evaluate the quality of search results and chatbot responses. They will also create and test prompts to improve the performance of large language models.
Contributors will annotate, label, and evaluate data to train and improve AI systems. They will also create and test prompts to enhance the accuracy and inclusivity of large language models.
Contributors will perform data annotation, labeling, and evaluation tasks to train and improve AI systems. They will also create and test prompts to enhance the accuracy and inclusivity of large language models.
Contributors will annotate and label data to train AI systems and evaluate the quality of search results and chatbot responses. They will also create and test prompts to improve the performance of large language models.
Contributors will annotate and label text, images, or audio to train AI systems. They will also evaluate search results and chatbot responses while creating prompts to improve large language models.
Contributors will annotate or label text, images, and audio to train AI systems. They will also evaluate search results and chatbot responses while creating prompts to improve large language models.
Contributors will annotate, label, and evaluate data to improve the accuracy and quality of AI systems. They will also create and test prompts to enhance the performance of large language models.
We watch for new "ai" jobs and email you the matches. Free. Unsubscribe in one click.
Contributors will annotate, label, and evaluate data to train and improve AI systems. They will also create and test prompts to ensure AI responses are accurate, inclusive, and human-centered.
Contributors will annotate, label, and evaluate data to train and improve AI systems. They will also create and test prompts to ensure content accuracy and relevance for large language models.
Contributors will annotate and label data to train AI systems and evaluate the quality of search results and chatbot responses. They will also create and test prompts to improve the performance of large language models.
Contributors will annotate, label, and evaluate data to train and improve AI systems. Responsibilities include creating prompts for large language models and ensuring content accuracy across various projects.
Design and build internal AI productivity tools, including coding assistants and knowledge retrieval systems, to improve engineering efficiency. Integrate AI capabilities across the software development lifecycle and experiment with emerging technologies like LLMs and AI agents.
You will build AI-powered internal tools, including coding assistants and workflow automation systems, to improve developer productivity. You will also collaborate with engineering teams to identify technical pain points and implement LLM-driven solutions.
You will build and maintain the AI Planner platform, managing the full-stack lifecycle from frontend and backend to database and AI integrations. Additionally, you will focus on improving platform scalability, security, and CI/CD deployment processes.
Lead AI strategy discovery engagements to identify business pain points and define actionable roadmaps for clients. Partner with executive leadership to translate strategic recommendations into buildable opportunities while advising on governance and technical architecture.
You will build and improve agentic systems for complex tendering workflows and own the end-to-end delivery of AI features from model to front-end. Additionally, you will iterate on ranking, retrieval, and price prediction models while collaborating with cross-functional teams to drive metrics-led improvements.
We watch for new "ai" jobs and email you the matches. Free. Unsubscribe in one click.
Architect, build, and deploy AI-driven systems using LLMs, computer vision, and predictive pipelines. Collaborate with cross-functional teams to integrate AI features into production while ensuring scalability and adherence to responsible AI principles.
You will converse with AI models to verify factual accuracy, logical soundness, and linguistic quality. You will also document failure modes and suggest improvements to prompt engineering and evaluation metrics.
You will converse with AI models to test linguistic accuracy, document failure modes, and suggest improvements to prompt engineering. Your work involves verifying factual soundness and capturing error traces to harden model reasoning.
You will converse with advanced language models to verify factual accuracy, logical soundness, and linguistic precision. Additionally, you will document failure modes and suggest improvements for prompt engineering and evaluation metrics.
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