Latest remote AI jobs
14 resultsIT Specialist Artificial Intelligence (AI)
This position is located within the Chief Technology Officer Product Delivery Service. The Department of Veterans Affairs seeks to significantly expand the responsible use of Artificial Intelligence (AI), including the u
Information Technology Specialist (Command's Chief Data and Artificial Intelligence Officer)
About the Position: This position is located at SHAPE, Belgium. SHAPE is the Supreme Headquarters of Allied Powers in Europe.The surrounding area is rural with other cities within 30 minutes drive. The base is in central
Lead Artificial Intelligence (AI) Specialist
This position is located in the Department of Health & Human Services (HHS), Centers for Medicare & Medicaid Services (CMS), Center for Program Integrity(CPI), Data Analytics & Systems Group (DASG), Division of Investiga
DATA AND AI ENGINEER/SCIENTIST
This is a Direct Hire Authority (DHA) solicitation utilizing a DHA to recruit and appoint qualified candidates to positions in the competitive service. About the Position: Serves as a Senior Data Engineer for the US Afri
Librarian (Computer Science and Artificial Intelligence)
The Library of Congress shares its vast collections of books, manuscripts, photographs, maps, audiovisual materials, and priceless artifacts to cultivate curiosity and spark imagination. We engage, inspire, and inform Co
Senior AI Engineer Architect
Are you a talented Senior AI Engineer/Architect looking for a remote job that lets you show your skills and get decent compensation? Look no further than Lemon.io â the marketplace that connects you with hand-picked st
Senior AI Engineer
Are you a talented Senior AI Engineer looking for a remote job that lets you show your skills and get decent compensation? Look no further than Lemon.io — the marketplace that connects you with hand-picked startups in th
Lead Data Scientist (Artificial Intelligence/Machine Learning)
WHAT IS INFORMATION TECHNOLOGY ? A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions Position(s) are to be filled in following area(s): IT - Taxpayer Services and On
Senior Independent AI Engineer / Architect
Senior Independent AI Engineer / Architect Remote | Americas, Europe, or Israel Most AI engineers can find work. Finding work worth doing is harder. A.Team is an invite-only network of senior AI engineers, ML engineers,
ML Engineer
At Trunk Tools, weâre the leading AI company revolutionizing construction, the second-largest industry on earth. We recently raised a $40M Series B led by Insight Partners, bringing our total funding to $70M from top-t
Staff Machine Learning Engineer
About Fullscript Weâre an industry-leading health technology company on a mission to help people get better. We started in 2011 with one simple idea. Make it easier for practitioners to access the products they trust s
Senior Staff Data Engineer
Who We Are: SmithRx is a rapidly growing, venture-backed Health-Tech company. Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug acquisitio
Principal Machine Learning Engineer
Attentive® is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. We're the only marketing platform that combines powerful technology with human expertise to build authentic c
BPM LLP AI ML Engineer
About the role: We are seeking an AI/ML Engineer to join BPM's Enterprise Technology Solutions team. This role is for a builder â someone who doesn't just experiment with AI but makes it work inside the firm at scale.
The AI, machine learning & data science job market
The field breaks into a handful of distinct roles. Machine learning engineers build and ship models in production and lean heavily on Python, PyTorch or TensorFlow, and distributed training. AI/LLM engineers work a layer up, turning foundation models into products with prompting, retrieval-augmented generation, fine-tuning, agents, and eval suites. Data scientists own experimentation, statistics, and ML-driven decisions (SQL, Python, causal inference, A/B testing). MLOps and ML platform engineers build the pipelines, serving, and observability that keep models running, usually on Kubernetes and a major cloud. Computer vision and NLP engineers specialize in perception and language, while research scientists (often with a PhD) prototype and publish new methods. Data engineers build the pipelines everything else depends on.
Hiring comes from several employer categories. Frontier labs like OpenAI, Anthropic, Google DeepMind, and Mistral pay the top of the market. Big tech and consumer-scale companies (Meta, Netflix, Tesla, NVIDIA, Airbnb) run large ML and personalization teams. AI infrastructure and data companies such as Databricks, Scale AI, Hugging Face, and Stripe hire across platform and applied roles. Beyond those, a growing wave of startups, enterprises adding AI to existing products, consultancies, and the U.S. federal government (via USAJobs) are all hiring. Much of this work is remote or remote-friendly, though San Francisco, New York, Seattle, and Austin remain dense hubs.
US pay is high and spread wide. Applied and mid-level roles commonly land in the $140k-$260k total-comp range; senior ML and data science roles at strong companies run roughly $250k-$400k; and research scientists or senior engineers at frontier labs and top tech firms can exceed $450k-$500k with equity. In-demand skills right now: solid Python, PyTorch, and the transformer/LLM stack (RAG, fine-tuning, evals, vector databases); classical ML and statistics for data science roles; and cloud, Kubernetes, and pipeline tooling (Spark, Airflow, MLflow) for platform and MLOps work. Depth in one area plus the ability to ship to production is what separates offers from rejections.
Frequently asked questions
How much do AI and machine learning jobs pay in the US?
It varies a lot by level and employer. Applied and mid-level roles typically fall in the $140k-$260k total-comp range, senior ML engineers and data scientists at strong companies run about $250k-$400k, and research scientists or senior engineers at frontier labs can top $450k-$500k with equity. Federal AI/ML roles pay on the government GS scale, which is lower in base but comes with stability and benefits.
Are these roles remote?
Many are. AI/ML has stayed more remote-friendly than most fields, and a large share of the listings here are remote (US) or remote (global). That said, some teams still want you in a hub like San Francisco, New York, Seattle, or Austin, so we tag location on every listing and let you filter by it.
What skills and background do I actually need?
For most engineering roles: strong Python, a deep-learning framework (usually PyTorch), and real production experience. LLM/GenAI roles want the modern stack (RAG, fine-tuning, evals, agents); data science roles want statistics, SQL, and experimentation; MLOps roles want cloud, Kubernetes, and pipeline tooling. A relevant degree helps, and research scientist roles often expect a PhD or equivalent publications, but shipped projects and a strong portfolio increasingly matter as much as credentials.
Do I need a certification to get hired in AI/ML?
Generally no. Employers in this field weigh demonstrated ability (projects, contributions, past production work) far more than certificates. Cloud certs (AWS, GCP) can help slightly for MLOps and platform roles, but no cert substitutes for being able to build and ship. Time is usually better spent on a solid portfolio than on collecting certifications.
How often are new jobs added, and where do they come from?
The board refreshes on a daily cycle. Listings are aggregated live from real employers' public feeds (Remotive and RemoteOK for remote roles, USAJobs for federal AI/ML positions), filtered strictly to genuine AI/ML titles. Older posts age off automatically, and every listing links to the employer's own application page. Nothing here is fabricated.