The role involves designing, building, and deploying intelligent systems, including agentic workflows to automate manufacturing and RAG pipelines for knowledge retrieval. Responsibilities also cover architecting evaluation frameworks, building developer tooling, and integrating LLMs into production systems.
Remote Artificial Intelligence Jobs (9,417)
Search = ai
Job category = Software Development
The role involves implementing automated MLOps pipelines, including CI/CD, data, and training processes, alongside implementing ETL pipelines for data ingestion. Responsibilities also include containerizing and deploying models, continuous monitoring for drift, and managing model and data versioning.
The Solution Architect will act as a trusted advisor, guiding customers on implementation options, leading discovery processes to capture technical requirements, and driving consensus on proposed approaches. This role also involves participating in project-specific development activities and assisting with the validation and optimization of deployed solutions.
Sr. Backend Engineer - Charlotte AI (Remote, EST)
CrowdStrike
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Full Time
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23 Weeks Ago
CrowdStrike
The role involves advancing backend microservices, addressing critical concerns, and employing established tools to build scalable cloud solutions for countering cyber assaults. Responsibilities also include innovating with Large Language Models to enhance Charlotte AI capabilities and constructing data pipelines for LLM training.
The role involves pioneering AI-driven security testing by designing and building autonomous security testing agents using LLMs and advanced AI/ML techniques to identify genuine vulnerabilities in production applications. Responsibilities also include revolutionizing penetration testing at scale by developing services that act like elite attackers, automating testing across thousands of targets, and building systems that continuously evolve attack strategies.
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The engineer will bridge research and production by building AI models and agent systems that ship into real products, focusing on architecting, evaluating, and optimizing autonomous voice and digital agents handling millions of customer interactions monthly. They will build solutions for challenging edge cases like poor connectivity and low literacy, while owning problems end-to-end from discovery through production.
The lead will drive internal AI adoption by building relationships across various departments to identify opportunities and pain points, and will be responsible for developing the AI enablement roadmap and leading small-scale Proof of Concepts (POCs). Key activities include designing and delivering engaging training sessions, managing adoption, establishing light-touch governance, and collaborating closely with the technical team.
The consultant will assist customers in implementing large language models to solve complex and advanced business challenges. Daily tasks may involve deploying end-to-end Machine Learning pipelines to streamline and automate AI offerings for major organizations.
The consultant will help customers implement large language models to solve complex business challenges and deploy end-to-end ML pipelines to automate AI offerings for large organizations. Responsibilities include leveraging bleeding-edge analytical solutions and riding the wave of rapidly evolving AI and ML innovations.
This role is responsible for defining and executing the vision for AI-driven web scraping to acquire external data assets that complement existing datasets and enable new services. The leader will develop processes for data extraction using advanced AI techniques and build an in-house team to ensure scalable data acquisition.
The Head of AI GTM will be responsible for driving revenue by selling proprietary, anonymized user data to the AI industry, owning the entire customer journey from initial awareness through expansion. This role also requires leading cross-functional efforts to align product and engineering development with sales objectives.
The role involves designing and executing comprehensive test plans for backend services, APIs, and microservices, while also developing automated evaluation frameworks for Generative AI features, including LLM/SLM model testing and prompt validation. This engineer will establish quality standards spanning from microservices architecture to AI/ML models and build testing frameworks to ensure product robustness and reliability.
Technical AI Mentor (Independent Contractor) - Business Leader Programs
Udacity
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Full Time
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23 Weeks Ago
Udacity
Mentors will reinforce and expand on concepts in AI business leader programs, guiding learners through projects with structured, actionable advice based on real-world deployment experience. They must clarify complex AI concepts in business-relevant terms and discuss organizational AI decision-making, trade-offs, and value realization.
Investment Specialist – Freelance AI Trainer Project
Invisible Agency
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Full Time
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23 Weeks Ago
Invisible Agency
The specialist will engage advanced language models daily with investment scenarios, analytical questions, and market-based reasoning tasks to verify factual correctness and financial logic. Responsibilities include assessing the validity of investment reasoning, capturing error traces, and providing structured feedback to enhance model prompts and analytical depth.
Financial Institutions Specialist – Freelance AI Trainer Project
Invisible Agency
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Full Time
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23 Weeks Ago
Invisible Agency
The specialist will engage advanced language models with financial institution scenarios, regulatory questions, and analytical exercises, verifying factual correctness and institutional logic. Responsibilities include assessing risk-related reasoning, capturing error traces, and providing structured feedback to enhance model prompts and analytical depth.
Corporate & Markets Specialist – Freelance AI Trainer Project
Invisible Agency
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Full Time
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23 Weeks Ago
Invisible Agency
Engage advanced language models with corporate finance and market-based scenarios, verifying financial accuracy, assessing valuation validity, capturing error traces, and providing structured feedback to enhance model reasoning and analytical precision. Identify instances where models oversimplify complex transactions or misinterpret regulatory or market signals.
The role involves designing, developing, implementing, and maintaining AI platform tools and applications, including generative AI solutions that must be reliable, scalable, and compliant with accessibility standards like WCAG 2.2 AA. This engineer will also collaborate with data scientists and product managers while contributing to cloud infrastructure optimization and CI/CD processes.
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Business and Management Specialist – Freelance AI Trainer Project
Invisible Agency
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Full Time
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23 Weeks Ago
Invisible Agency
Engage advanced language models daily with business scenarios, analytical questions, and strategy exercises to evaluate logical consistency and real-world applicability. Capture reproducible error traces and provide structured feedback to enhance model reasoning, prompt quality, and evaluation frameworks.
Religion Specialist – Freelance AI Trainer Project
Invisible Agency
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Full Time
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23 Weeks Ago
Invisible Agency
Engage advanced language models with religious or historical scenarios, analytical questions, and cultural context tasks, evaluating accuracy, neutrality, and logical consistency. Capture reproducible error traces and provide structured feedback to enhance prompt quality, evaluation frameworks, and model reasoning.
Politics & Government Specialist – Freelance AI Trainer Project
Invisible Agency
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Full Time
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23 Weeks Ago
Invisible Agency
Specialists will engage advanced language models with policy scenarios, verify factual and institutional correctness, assess logical consistency and bias risks, and capture reproducible error traces. They will also provide structured feedback to enhance model prompts, evaluation standards, and analytical depth regarding political and governance topics.
Literature Specialist – Freelance AI Trainer Project
Invisible Agency
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Full Time
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23 Weeks Ago
Invisible Agency
Specialists will engage advanced language models with literary passages, analytical questions, and interpretation tasks, verifying factual accuracy and evaluating the depth and validity of literary analysis provided by the AI.
The AI Architect will be responsible for architecting and maintaining Python-based services using FastAPI for internal and customer-facing AI use cases, including building secure API endpoints that interface with LLMs and vector stores. Key duties involve implementing orchestration logic for agent workflows, optimizing performance, and collaborating across engineering teams to ensure system reliability and observability.
Japanese Language Specialist - Freelance AI Trainer Project
Invisible Agency
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Full Time
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23 Weeks Ago
Invisible Agency
The specialist will converse with advanced language models on language scenarios, verify factual accuracy and logical soundness, and capture reproducible error traces. They will also suggest improvements to prompt engineering and evaluation metrics to harden model reasoning.
Physician Annotator - Clinical AI Development Consulting (Part-Time/Contract) 12 APPLICANTS
Nucs AI
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Full Time
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23 Weeks Ago
Nucs AI
The Physician Annotator will perform reviews of nuclear medicine imaging exams, providing clinical insight and annotations to support AI model training and refinement, while also validating AI outputs for clinical accuracy and safety. Key duties include contributing to annotation protocols, identifying data biases, and providing structured clinical feedback to improve model performance.
The Tech Lead will own the design, building, and delivery of high-quality AI/ML solutions, with a strong emphasis on Generative AI and LLMs. This involves hands-on development, technical leadership, and mentoring AI engineers on best practices across AI engineering and MLOps.
User Research Intern | Silicon Valley AI Startup (H1-26)
Phygtl, Inc.
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Full Time
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23 Weeks Ago
Phygtl, Inc.
The intern will coordinate, run, and support qualitative research sessions, including planning, moderating high-signal conversations, and translating input into usable insights.
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Quality Assurance Engineer -- Junior Product Manager | AI / Trucking 12 APPLICANTS
Spotter
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Full Time
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23 Weeks Ago
Spotter
Responsibilities include developing and executing comprehensive test plans based on trucking industry knowledge, focusing on real-world scenarios for web and mobile applications. The role also requires identifying and documenting defects, collaborating with developers, and continuously improving testing processes.
Responsibilities include developing, training, validating, and optimizing Machine Learning and Deep Learning models, while also integrating Generative AI and LLMs into various solutions. The role also covers developing and maintaining robust data pipelines, extracting and validating large datasets, and interpreting data to uncover business opportunities.
The role involves building and evolving the core AI tutoring system, focusing on prompt architectures, agentic workflows, and real-time adaptive behaviors. Responsibilities also include running rigorous experimentation, designing scalable software integrations, and collaborating cross-functionally to translate pedagogical goals into technical solutions.
CTO possible co-founder role, hands on Rust, Blockchain, AI, startup experience a must have 18 APPLICANTS
Travoom
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Full Time
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23 Weeks Ago
Travoom
The CTO will define and build the core technology strategy and platform architecture, leading development from the front, including the native Rust backend and Solana-based token integration. Responsibilities also include overseeing engineering direction, shaping the roadmap, and building AI/ML backend frameworks.
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