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.
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Posted 4 months ago
Applications closedUlara AI
Remote
Los Angeles, United States (UTC-8)
Speaker verification — confirming that a voice belongs to a specific enrolled speaker — is a widely deployed biometric authentication mechanism. The a...
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Posted 4 months ago
Applications closedUlvex Systems
Remote
Chicago, United States (UTC-6)
On-call engineers are woken up at 2am to respond to alerts. If those alerts are noisy — firing on transient issues, firing on things that resolve them...
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Posted 4 months ago
Applications closedUnvix Works
Remote
New York, United States (UTC-5)
A data platform team running 200 production pipelines often has no idea which pipelines are responsible for 80% of compute costs. Data pipeline cost a...
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Posted 4 months ago
Applications closedValtrix Solutions
Remote
New York, United States (UTC-5)
Flood risk is one of the fastest-growing unpriced risks in residential real estate. FEMA flood maps are notoriously outdated — many were last revised...
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Posted 4 months ago
Applications closedVelmox Data
Remote
Chicago, United States (UTC-6)
Online feature stores serve model inference in real time. When a feature goes stale — when the last successful update is 4 hours ago for a feature exp...
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Posted 4 months ago
Applications closedVelvix Labs
Hybrid
Timezone not specified
LLMs hallucinate. The research community knows this. What is not yet solved is how to measure it rigorously and at scale: which kinds of questions tri...
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Posted 4 months ago
Applications closedVordex Tech
Remote
London, United Kingdom (UTC+0)
Dyslexia affects 10-20% of the population and is the most common reading disability. Content formatted for typical readers — dense paragraphs, complex...
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Posted 4 months ago
Applications closedWavion Intelligence
Hybrid
New York, United States (UTC-5)
Semantic role labeling — determining who did what to whom, when, where, and how in a sentence — is the NLP task that connects surface syntax to event...
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Posted 4 months ago
Applications closedWolvex Cloud
Remote
Amsterdam, Netherlands (UTC+1)
Data retention policies specify how long different categories of data should be kept before deletion or archival. Under GDPR, CCPA, HIPAA, and various...
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Posted 4 months ago
Applications closedXalto Tech
Remote
New York, United States (UTC-5)
Win-loss analysis is one of the highest-value activities in B2B sales and product strategy — and one of the least rigorously done. Most companies cond...
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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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