AI & ML Engineering
Browse roles for engineers building production ML systems, model pipelines, and applied AI products.
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Browse language-first AI roles covering LLM apps, RAG systems, prompt design, evaluation, and agent workflows.
NLP and prompt engineering jobs are a strong fit for candidates who want to work on LLM products, retrieval systems, assistants, and language-driven user experiences.
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Our chatbot platform serves 340 enterprise clients, and every client needs training data that reflects their specific domain, tone, and use cases. A h...
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A Fortune 500 company's legal team manages 4,000 active contracts simultaneously. Buried in those contracts are thousands of obligations: reporting de...
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We generate docstrings for 300,000 Python functions per month for software companies that want their codebases documented automatically. The generatio...
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Adversarial prompt attacks against LLMs are not a research curiosity — they're an active threat to every customer-facing AI deployment. Our red team e...
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Our clients' support teams are buried. The median company on our platform receives 3,400 support tickets per month, of which 38% are questions already...
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Every voice assistant starts with a wake word. 'Hey Aria', 'OK Nova', 'Wake up' — the decision to activate or stay silent runs on a model deployed dir...
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Understanding that two sentences are semantically related is table stakes. Understanding that one sentence is the thesis statement of a paragraph, ano...
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Translation is the easy part. Cultural adaptation is what most localization platforms get wrong. A direct translation of 'Free trial — no credit card...
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Insurance claims processing runs on forms: ACORD forms, CMS-1500s, UB-04s, custom state-specific variants. Our clients process 40,000 form submissions...
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Search is only as good as your ability to measure it. Our search platform serves 14 million queries per day, and every algorithm change we ship gets v...
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Explore opportunities built for candidates in LLM systems, machine learning, MLOps, automation, and applied AI delivery.
Review remote-friendly roles across freelance, contract, part-time, and full-time hiring models.
Spend less time on generic boards and more time reviewing openings tied to real AI work and practical shipping needs.
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Start with the specialty that matches your strengths, then review roles designed for practical AI work, stronger fit, and faster decision-making.
Browse roles for engineers building production ML systems, model pipelines, and applied AI products.
Browse JobsFind jobs in LLM products, retrieval systems, prompt design, and language-first AI workflows.
Browse JobsExplore opportunities in deployment, monitoring, orchestration, and scalable AI infrastructure.
Browse JobsReview roles for PMs and strategists connecting AI initiatives to roadmap, adoption, and business value.
Browse JobsFind practical roles focused on orchestration, copilots, internal tooling, and AI-powered process design.
Browse JobsBrowse opportunities in analytics, forecasting, experimentation, and decision support for AI teams.
Browse JobsExplore by specialty
Some candidates start with AI & ML Engineering jobs for product and model delivery, while others focus on NLP & Prompt Engineering jobs for LLM products, MLOps & AI Infrastructure jobs for production reliability, or AI Product & Strategy jobs for roadmap and adoption work.
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You can explore remote AI jobs across machine learning, prompt engineering, MLOps, data science, automation, and AI product roles.
Many opportunities are remote-friendly and designed for distributed talent, including freelance, contract, part-time, and full-time roles.
Start with the category that best matches your strengths, then filter by experience level and job type so you spend more time reviewing relevant opportunities.
RemoteAI is focused on AI-specific roles, which makes it easier to find openings tied to LLM systems, machine learning, prompt engineering, MLOps, automation, and applied AI work.
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