AI & ML Engineering
Browse roles for engineers building production ML systems, model pipelines, and applied AI products.
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Posted 4 months ago
Applications closedJaltrix Data
Remote
New York, United States (UTC-5)
Data annotation quality determines model quality — but you can't manually review every annotation in a batch of 100,000 labeled examples. Statistical...
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Posted 4 months ago
Applications closedJarvik Solutions
Remote
New York, United States (UTC-5)
Net Revenue Retention is the metric that determines whether a SaaS business grows from its existing customer base or shrinks despite acquiring new cus...
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Posted 4 months ago
Applications closedJoltura Labs
Remote
Chicago, United States (UTC-6)
End-to-end tests are valuable and expensive to write. The expensive part isn't the assertion — it's figuring out the precise sequence of UI interactio...
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Posted 4 months ago
Applications closedJorvex Studio
Remote
New York, United States (UTC-5)
A brand's visual identity is one of its most valuable assets. When an AI-generated marketing asset uses a font that's 2pt wrong, a blue that's 3 hex c...
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Posted 4 months ago
Applications closedKelvix Systems
Remote
London, United Kingdom (UTC+0)
Glacial melt is one of the most directly measurable consequences of climate change and one of the most important inputs to sea level rise projections....
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Posted 4 months ago
Applications closedKlavio Works
Remote
London, United Kingdom (UTC+0)
Idioms are where language learners get humbled. 'Break a leg,' 'bite the bullet,' 'it's raining cats and dogs' — a learner who translates these litera...
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Posted 4 months ago
Applications closedKolvex Cloud
Remote
Amsterdam, Netherlands (UTC+1)
Cloud workloads have a carbon footprint that varies significantly based on which region they run in, what time of day they run, and which cloud provid...
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Posted 4 months ago
Applications closedKrato AI
Remote
New York, United States (UTC-5)
SaaS companies iterate their homepage headline 3 times per year. The companies growing fastest iterate it 3 times per week, testing different value pr...
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Posted 4 months ago
Applications closedLamion Solutions
Hybrid
New York, United States (UTC-5)
Hospital discharge summaries are the handoff document between inpatient and outpatient care. A well-written discharge summary gives the patient's PCP...
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Posted 4 months ago
Applications closedLontex Tech
Remote
Timezone not specified
Context windows are getting longer. 128K, 200K, 1M tokens. The naive conclusion is that chunking becomes less important — just put everything in conte...
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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.
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Browse JobsFind practical roles focused on orchestration, copilots, internal tooling, and AI-powered process design.
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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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