The AI Developer will design, develop, and integrate artificial intelligence models and applications to support mission-driven objectives within a federal IT environment. Responsibilities include managing large datasets, optimizing AI performance, and collaborating with cross-functional teams to deploy scalable solutions.
Remote Artificial Intelligence Jobs (9,419)
Search = ai
Job category = Software Development
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.
Shape the Future of AI - Greek Talent Hub 11 APPLICANTS
Welo Data
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Full Time
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15 Weeks Ago
Welo Data
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 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.
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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.
Shape the Future of AI - Bosnian Talent Hub 39 APPLICANTS
Welo Data
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Full Time
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15 Weeks Ago
Welo Data
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.
Shape the Future of AI - Albanian Talent Hub 36 APPLICANTS
Welo Data
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Full Time
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15 Weeks Ago
Welo Data
Contributors will annotate and label various data types 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 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 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.
Shape the Future of AI - Azerbaijani Talent Hub 23 APPLICANTS
Welo Data
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Full Time
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15 Weeks Ago
Welo Data
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 or label data to train AI systems and evaluate the quality of search results or chatbot responses. They will also create and test prompts to improve large language models while ensuring cultural and linguistic accuracy.
Shape the Future of AI - Amharic Talent Hub 17 APPLICANTS
Welo Data
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Full Time
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15 Weeks Ago
Welo Data
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 accuracy and inclusivity of large language models.
![Smart Working Solutions is hiring for remote Applied AI Engineer (Remote, Full-Time), PK [AS221]](/assets/08150176-369d-44db-a4a7-778571334971.png){kind=small}
Applied AI Engineer (Remote, Full-Time), PK [AS221]
Smart Working Solutions
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Full Time
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15 Weeks Ago
Smart Working Solutions
Design and implement end-to-end AI solutions for automated document understanding and technical report generation. Integrate these AI outputs into existing business workflows while collaborating with cross-functional teams.
AI Developer II (Senior AI Engineer) 26 APPLICANTS
VSI Technologies
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Full Time
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15 Weeks Ago
VSI Technologies
Design, build, and deploy production-grade AI systems, including LLM applications and intelligent automation solutions. Mentor junior developers while managing data pipelines and ensuring robust MLOps practices.
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.
New "ai" jobs delivered to your inbox
We'll notify you when new positions matching this search are posted
Shape the Future of AI — Urdu Talent Hub 39 APPLICANTS
Welo Data
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Full Time
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15 Weeks Ago
Welo Data
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.
You will lead end-to-end AI adoption for enterprise clients by deploying production-ready AI solutions. The role involves translating complex AI capabilities into measurable business outcomes and productivity improvements.
The AI Transformation Lead will own and mature AI delivery capabilities by embedding AI-driven practices into internal operations and client-facing programs. They will partner with sales and leadership to shape AI offerings and ensure successful, production-ready delivery of AI initiatives.
You will build and maintain backend services for AI and LLM-driven products while managing infrastructure and service integrations. You will own features end-to-end, ensuring high availability, performance, and reliability for production-grade healthcare and pharma software.
You will build and scale robust AI infrastructure, including CI/CD pipelines, model registries, and observability tools to support LLMs and agentic systems. You will also partner with data science and engineering teams to deploy and maintain high-performance AI models in production environments.
Design and own a production-grade evaluation system to improve model accuracy and latency while leading experimentation and fine-tuning efforts. Advance the orchestration of AI/ML systems to ensure scalable, resilient, and high-impact deployments.
Design and prototype enterprise-grade AI-driven customer experience solutions while leading technical discovery sessions. Translate complex enterprise workflows into structured AI architectures and own the end-to-end technical delivery of proofs of concept.
You will identify and validate high-potential commercial opportunities for physical AI, specifically in robotics and autonomous driving. This involves managing the full partnership lifecycle, from outreach and proposal development to contract negotiation and scaling deployments.
The Product Safety Manager will lead safety assessments and threat modeling for new products while partnering with engineering to implement effective mitigations. They will serve as the primary safety point of contact, ensuring that safety reviews are integrated into the development process for novel AI technologies.
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You will own the inference and orchestration layer that powers AI interactions, ensuring high reliability and performance. This involves building production systems, designing inference pipelines, and managing monitoring and incident response.
Design and build end-to-end AI-native product features and agent workflows that handle planning, tool use, and failure recovery. Collaborate with cross-functional teams to integrate LLMs and memory systems into reliable, production-grade applications.
You will own the end-to-end AI product strategy, balancing technical feasibility with user needs to deliver reliable, high-value features. You will work closely with engineering teams to define success metrics, iterate on model performance, and manage complex technical trade-offs.
Engineer, Enterprise AI
Navitus Health Solutions, LLC
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Full Time
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16 Weeks Ago
Navitus Health Solutions, LLC
The Engineer, Enterprise AI designs, builds, and operationalizes scalable AI capabilities, including generative and agentic AI workflows. They collaborate with cross-functional teams to implement enterprise architecture standards, MLOps practices, and AI governance frameworks.
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