Remote AI Jobs (No ghost jobs, direct from employers)
- $151K median pay
- 100% remote
AI jobs you can do from home, checked every hour. Every posting shows pay where listed, posting age, company reviews and a ghost-job check, so you apply only where someone is hiring.
134 jobs found
- 1 day agoLow ghost riskKnexus ResearchRemoteUnited States$120K - 160KSenior
- 14 hours agoLow ghost riskSeeq CorporationRemote$100K - 150KMid-level
- 2 days agoLow ghost riskLife360Remote$149K - 272KLead
- 5 days agoLow ghost risknormative.ioRemoteParis, Région Île-de-France$56K - 65KMid-level
- 1 week agoLow ghost riskMachinifyRemote$180K - 240KLead
- 4 days agoLow ghost riskSalesforce.com, Inc.RemoteCA$215K - 288KLead
- 4 days agoLow ghost riskSalesforce.com, Inc.RemoteChicago, IL$215K - 288KLead
- 4 days agoLow ghost riskSalesforce.com, Inc.RemoteNew York, NY$215K - 288KLead
- 1 week agoLow ghost riskGrafana LabsRemote$121K - 146KMid-level
- 1 week agoLow ghost riskGrafana LabsRemote$154K - 185KMid-level
- 4 days agoLow ghost riskJokoRemoteParis, TX$120K - 180KMid-level
- 1 week agoLow ghost riskGorilla Logic LLC.Remote$80K - 120KSenior
- 1 week agoModerate ghost riskWorkwaveRemote$75K - 110KSenior
- 14 hours agoLow ghost riskCapital District Physicians' Health Plan, Inc.RemoteRochester, NY$65K - 118KMid-level
- 14 hours agoLow ghost riskCapital District Physicians' Health Plan, Inc.RemoteBuffalo, NY$65K - 118KMid-level
- 14 hours agoLow ghost riskUnivera HealthcareRemoteDewitt, NY$65K - 118KMid-level
- 14 hours agoLow ghost riskUnivera HealthcareRemoteBinghamton, NY$65K - 118KMid-level
- 14 hours agoLow ghost riskCapital District Physicians' Health Plan, Inc.RemoteUtica, NY$65K - 118KMid-level
- 14 hours agoLow ghost riskUnivera HealthcareRemoteAlbany, NY$65K - 118KMid-level
- 14 hours agoLow ghost riskUnivera HealthcareRemoteRochester, NY$65K - 118KMid-level
Why this job matches
See how well your resume fits this job and what it is missing.
We're looking for an experienced AI Software Engineer with 6-8 years of experience to join our AI applications team. This is a fully remote position for candidates in the continental U.S., with work hours aligned to the Eastern Standard Time (EST) zone. You will be instrumental in the entire software development lifecycle, from initial design to final delivery, creating AI-powered software products that aid military commanders and business leaders in making mission-critical decisions. The ideal candidate will have exceptional algorithmic and problem-solving skills, and a strong background in software engineering, enabling them to make an immediate impact on our projects. We are committed to providing you with the necessary tools and training to produce world-class software.
Responsibilities
- Collaborative Design & Implementation: You will collaboratively design, implement, and test decision support and simulation software. This role involves leveraging cutting-edge technologies, including AI and machine learning components.
- Modular Systems Development: Develop modular systems within a distributed architecture, such as with RESTful containerized microservices.
- Performance Optimization: Review and analyze software runtime performance, making algorithmic and performance improvements.
- Agile Development: Use agile development techniques throughout the project lifecycle.
Qualifications and Experience
- Experience: 6-8 years of experience in software development, including design, coding, testing, and delivery.
- Core Skills: You should have mastery in object-oriented design and programming, as well as knowledge of design patterns and algorithmic analysis.
- Programming Languages: Proficiency in Python is a must, and experience with JavaScript, TypeScript, or C++ is also required.
- Software Tools: Mastery with essential software development tools, including distributed version control like Git, build frameworks such as Gradle, Maven, or CMake, and unit test frameworks like JUnit or Python unittest.
- GenAI: Experience building applications leveraging LLMs as a core component
- Work Environment: Experience working in a small, remote team environment is preferred.
- Government Clearance: You must be a U.S. citizen and eligible for a U.S. government security clearance (Secret Clearance).
Bonus Experience
- AI/ML: Exposure to AI and/or Machine Learning technologies is a plus.
- Google Cloud Platform: Experience using and deploying technologies onto GCP, existing GCP credentials, and familiarity with VertexAI.
- Specialized Knowledge: Experience with discrete event simulation, geospatial and/or temporal databases, and performing scientific evaluations and comparisons is highly valued.
- Technical Familiarity: Familiarity with technologies such as Docker, Node, and FastAPI is a bonus. Experience with database systems, including SQL, NoSQL databases, and ORMs, is also beneficial.
- Engineering Practices: Knowledge of Kanban Workflow, GitFlow, and other related software engineering practices is a plus
About Knexus
At Knexus Research, we are at the forefront of AI development for the government, with a mission to revolutionize how government serves its citizens. As a pioneer in the field, we've spent nearly two decades pushing the boundaries of what is possible with artificial intelligence. Our work has a direct, mission-driven impact, and we believe that our innovative ideas help us stay ahead of the curve. Our partnership with Google Cloud gives our team unparalleled access to the latest tools and expertise.
Company Reviews
Employee reviews4.7
4 Reviews- Small Business with Big Business Flexibility2024-08-26T08:30:22.053
Pros: Work life balance is extremely important at Knexus Competitive benefits and offerings for all positions Extremely good communication between all levels of the company
Cons: Most people are virtual so office culture is very limited
- Amazing small company2024-01-18T03:44:55.703
Pros: For a small company the benefits were great, pay was competitive, totally remote and still are, the office environment is amazing though with plenty of different desk options and the ability to work undisturbed and also rest and do other activities while on break.
Cons: It's a small company so they don't always have the resources that bigger companies offer, but they're always open to trying to make it happen in some capacity
- Research Company Specializing in Artificial Intelligence and Data Privacy2023-04-24T16:00:45.940
Pros: Small company of highly intelligent engineers, scientists and researchers that support the DOD and other government entities through research and innovation of software solutions.
Cons: Small company that has experienced a good bit of turnover and has had to reduce staff several times over the past few years.
Related jobs by role, place and level
Every page lists all openings, with likely ghost jobs flagged. Checked every hour.
Frequently asked questions about remote AI jobs
What is a ghost job?
A ghost job is a posting for a role the company isn't actively hiring for. Some stay up after the company fills the role. Others collect resumes for an opening that may never come.
You spend an evening tailoring an application, and nobody on the other side is looking for you.
What do remote AI jobs pay?
Across the postings here that list pay, the median is about $151,000 a year. About 7 in 10 of these postings list a pay range; the rest show an estimate, marked as one.
How many remote AI jobs are there?
At our last count there were about 130 open postings. The list on this page is live, so the count above it is the current one.
Are these jobs fully remote?
This page lists only postings the employer marked as remote. Many are still tied to a country or a time zone, so check the location on the posting before you apply.
How does Enhancv spot a ghost job?
Every posting goes through five checks: how long it has been up, whether a salary is posted, what employees say about the company, how specific the description is and whether it lists real requirements. Each job shows the checks it passed and the ones it didn't.
How fresh are the job postings?
Enhancv checks postings every hour, and every job shows how long ago it went up. Most hires happen within 30 days of posting. A listing that's been open for two months raises its ghost job risk.











