AI & ML Engineering
Browse roles for engineers building production ML systems, model pipelines, and applied AI products.
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Explore remote roles in prompt engineering, LLM systems, MLOps, machine learning, and applied AI for candidates who want real remote AI jobs.
RemoteAI helps AI professionals find high-quality remote AI jobs, including prompt engineer jobs, prompt engineering roles, and broader positions across the modern AI stack.
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Posted 4 months ago
Applications closedXivio Solutions
Remote
Los Angeles, United States (UTC-8)
Spot instances can be 70-90% cheaper than on-demand compute, but they get terminated with 2 minutes notice when AWS needs the capacity back. For ML tr...
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Posted 4 months ago
Applications closedXolvex Studio
Remote
New York, United States (UTC-5)
Every sports highlight clip needs a caption for social distribution. Right now, our platform's producers write these manually — which at 800 clips per...
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Posted 4 months ago
Applications closedYalvex AI
Remote
Chicago, United States (UTC-6)
A model doesn't deploy in isolation. It depends on feature pipelines, upstream data sources, downstream consumers, and shared infrastructure component...
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Posted 4 months ago
Applications closedYentrix Works
Remote
New York, United States (UTC-5)
Technical documentation should improve based on how developers actually interact with it. When 40 developers have viewed the same API reference page a...
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Posted 4 months ago
Applications closedYovex Intelligence
Hybrid
New York, United States (UTC-5)
Manual red teaming scales poorly. A team of 10 red teamers working full-time can probe a model's guardrails with thousands of adversarial prompts per...
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Posted 4 months ago
Applications closedZaltex Data
Remote
Chicago, United States (UTC-6)
Parking availability is a meaningful driver of where people shop, eat, and run errands. A city neighborhood with unpredictable parking loses foot traf...
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Posted 4 months ago
Applications closedZelux Studio
Remote
London, United Kingdom (UTC+0)
Scope 3 emissions — the indirect emissions in a company's value chain — account for 70% of most companies' carbon footprints. They're also the hardest...
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Posted 4 months ago
Applications closedZenora Labs
Remote
New York, United States (UTC-5)
The same model can score 73% or 81% on the same benchmark depending on whether you use greedy decoding or temperature 0.7 sampling, whether you zero-s...
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Posted 4 months ago
Applications closedTalmion Data
Remote
New York, United States (UTC-5)
Recommendation systems that rely on static user profiles are always serving yesterday's interests. A user who spent the last hour reading about machin...
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Posted 4 months ago
Applications closedTelvion Labs
Remote
New York, United States (UTC-5)
Synthetic data is only useful if it's actually similar enough to real data to train models that generalize to real-world distributions. The field has...
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Explore opportunities built for candidates in LLM systems, machine learning, MLOps, automation, and applied AI delivery.
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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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Prompt engineer jobs
The term prompt engineer jobs usually covers more than prompt writing alone. Many remote teams are hiring people who can shape LLM behavior, improve outputs through evaluation, connect prompts to retrieval systems, and turn AI workflows into reliable product features.
On RemoteAI, these roles often overlap with NLP & Prompt Engineering jobs, but they can also appear inside broader AI & ML Engineering jobs and Automation & AI Workflow jobs when companies need production execution, orchestration, or internal copilots.
Prompt engineer jobs often include prompt design, LLM evaluation, retrieval tuning, guardrail definition, experimentation, and close work with product or engineering teams.
The strongest candidates usually combine language model intuition with structured testing, workflow thinking, API familiarity, and the ability to improve quality over repeated iterations.
If you are targeting prompt engineering jobs remote, start with the dedicated NLP category, then compare adjacent AI roles where prompt systems are part of a larger shipping responsibility.
Candidates looking for prompt engineering jobs remote often want roles in assistants, AI search, RAG systems, internal copilots, content workflows, and agent-style automation. Browse the most relevant category first, then widen your search if you also work across model delivery or workflow operations.
FAQ
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.
Yes. RemoteAI includes prompt engineer jobs, prompt engineering jobs remote, and adjacent LLM roles where companies need evaluation, retrieval, workflow design, and practical AI product execution.
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