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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Contract management is 80% mechanical and 20% judgment. The mechanical parts — clause extraction, obligation tracking, renewal date alerting, counterp...
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A thorough prior art search for a software patent application takes a patent attorney 6-15 hours and costs clients $3,000-$8,000. Our platform reduces...
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Legal research has a well-known efficiency problem: junior associates at law firms spend 40-60% of their billable hours finding and summarizing cases....
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We publish internally and encourage conference submissions. The person in this role will be expected to stay current with TTS research, implement find...
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We build AI tutoring tools for university students. Our platform generates practice problems, provides step-by-step explanations, adapts difficulty ba...
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Court reporters transcribe legal proceedings at 225 words per minute with 98.5% accuracy. Our AI does it at infinite words per minute with 95% accurac...
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Contract review takes lawyers hours per document. Our AI does the first pass in seconds — highlighting unusual clauses, flagging missing standard term...
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Our clients — PR agencies and brand managers — need to know what people are saying about their brands, and whether the tone is positive, negative, or...
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Compliance officers at banks spend 60% of their time on document review — reading through transaction reports, client disclosures, and regulatory fili...
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Automated speaking assessment is one of the hardest problems in language learning technology. A learner records a sentence. You need to evaluate pronu...
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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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