29 Remote AI Research Scientist Jobs
Explore top remote ai research scientist jobs and find flexible roles such as llm engineer, nlp engineer, computer vision engineer, ai engineer, machine learning engineer on Kickstart Remote. Work from anywhere and advance your career today!
Chief ML Researcher, Product
Chief ML Researcher leading machine learning initiatives for Nebius, shaping product direction and platform capabilities. Engaging strategic customers and driving forward-looking ML research to innovate AI solutions.
Real Estate Investment Professional – AI Residency, Part-time
Real Estate Investment Professionals in AI Residency at Mentis AI, focusing on how AI impacts investment workflows.
Real Estate Investment Professionals – AI Residency, Part-time
Real Estate Investment Professionals utilizing AI to enhance investment workflows in private equity. Engaging in benchmarking, model testing, and framework design for AI systems.
Private Credit Professional – AI Residency, Part-time
Private Credit Professional working with AI systems in a flexible, remote environment. Developed for experts in private credit and advanced AI applications.
Private Credit Professional – AI Residency, Part-time
Private Credit Professionals working on AI systems for credit workflows in finance. Evaluating and comparing human judgment with AI outputs for middle-market lending.
Wealth Management Professional – AI Residency, Part-time
Wealth Management Professionals utilizing AI in advisory workflows, enhancing portfolio construction and financial planning processes. Engage with leading AI systems in high-net-worth contexts while working remotely.
Venture Capital Professional – AI Residency, Part-time
Venture Capital Professionals in AI Residency at Mentis AI for evaluating AI systems in finance. Engaging in investment strategies and benchmarks with flexible hours.
AI Researcher, Internship
Part-time AI Researcher conducting applied research related to AI model evaluation and validation methodologies for DATAmundi. Collaborating with engineering and academia to support R&D initiatives.
Applied ML Researcher
Applied ML Researcher bridging healthcare data assets and customer needs to enhance AI model applicability. Involves statistical analysis and customer collaboration in the healthcare vertical.
AI Research Intern
AI Research Intern at GE HealthCare developing machine learning algorithms for healthcare applications. Collaborating on innovative projects with access to extensive data and resources.
Senior User Researcher – AI Research Operations
Senior User Researcher leads modern research practices and AI integration at Study.com. Focused on impactful research and insights for product, marketing, and brand strategy.
Principal AI Scientist
Principal AI Scientist at Cerence developing state-of-the-art Generative AI models for automotive voice experiences. Collaborating with teams to innovate and optimize language models for optimal performance.
Principal AI Scientist
Principal AI Scientist designing and implementing Generative AI models at Cerence. Collaborating with teams and enhancing applications in the automotive AI sector.
ML Researcher
ML Researcher leading end-to-end machine learning projects for AI-powered marketing firm. Developing and optimizing models with a focus on business impact and scalability.
Senior AI Scientist
Build and deploy GenAI models for text generation and content automation. Developing AI solutions and frameworks for various tasks and evaluations.
Causal AI Researcher
Causal AI Researcher developing causal AI systems at Dell Technologies, driving innovation and collaboration across teams in Brazil and optimizing operations in emerging computing paradigms.
Assistant Manager – AI Research
Assistant Manager - AI Research at WNS managing AI-driven solutions and deploying GenAI models. Collaborating on state-of-the-art AI technologies to enhance digital processes across industries.
Senior ML Researcher – Code Editing
Senior ML Researcher developing and improving training methodologies for code-related tasks at JetBrains. Focused on creating methods for next-gen ML features in coding.
Remote ai research scientist salary expectations & hiring insights
Looking to build your career in ai research scientist?
According to our job data analysis, the average remote ai research scientist salary is $113,391 per year, based on insights from over 29 job listings.
These roles span across startups (2–10 employees) to established firms (51–200 employees).
The demand for remote ai research scientists continues to grow rapidly, with top companies like Weekday (YC W21) and Upstage offering roles such as LLM Engineer and NLP Engineer.
Salary breakdown by experience
| Experience level | Average salary |
|---|---|
| Junior | $200,000 |
| Mid-level | $70,648 |
| Senior | $82,908 |
| Lead | $222,500 |
Skills hiring teams expect
Hiring managers consistently highlight Python (17.6%) as the must-have skill for remote ai research scientist roles. PyTorch (7.3%) follows closely, showing how teams blend analytical depth with modern tooling. We parsed live job descriptions to surface the most requested capabilities.
17.6%
7.3%
5.9%
5.9%
5.9%
Companies leading remote hiring
Organizations such as Weekday (YC W21) (5), Upstage (3), Articul8 AI (2), Xaira Therapeutics (2), and MindBridge (1) have published the most openings lately, offering a snapshot of the employers investing in distributed ai research scientist talent.
Top regions hiring remotely
🇺🇸 United States accounts for the largest share of distributed ai research scientists openings, capturing 71.4% of the listings we track. 🇨🇦 Canada adds another 14.3%, proving that teams are scaling far beyond a single time zone. Use this regional data to target your outreach and tailor availability windows.
5 listings
1 listings
1 listings
Education trends
Postgraduate Degree remains the most frequently cited credential, appearing in 60.0% of verified postings. Bachelor Degree requirements show up in 35.0% of roles, so highlight comparable experience if your path differs. Mentioning equivalent coursework or certifications helps recruiters validate your background quickly.
60.0% of postings
35.0% of postings
5.0% of postings
Ask our talent partners
FAQs about Ai Research Scientist
Quick answers we share most often with job seekers exploring ai research scientist paths.
Question 1What skills do you need to get a remote AI Research Scientist job?
You need strong programming skills in Python and experience with deep learning frameworks like PyTorch or TensorFlow. Familiarity with cloud platforms such as AWS is also essential for managing computational resources and data pipelines.
Question 2What qualifications do you need to get a remote AI Research Scientist job?
Most positions require a PhD or a Master's degree with significant research experience in computer science, machine learning, or a related field. A strong publication record at top-tier conferences demonstrates your research capabilities.
Question 3What are the responsibilities of someone who does a remote AI Research Scientist job?
Your main tasks include designing novel machine learning models, running experiments on cloud infrastructure, and writing research papers. You also analyze results and collaborate with team members to implement new ideas.
Question 4What are the benefits of a remote AI Research Scientist job?
This role offers great flexibility in your work schedule and location, eliminating the daily commute. You also gain access to a global network of experts and top-tier research projects from your home office.
Question 5What does a typical day look like for a remote AI Research Scientist?
A typical day involves reviewing experiment results from cloud servers, writing code for new models, and attending virtual team meetings. You will also dedicate time to reading recent research papers and documenting your findings.
Question 6What tools do remote AI Research Scientist teams commonly use?
Teams regularly use Python with PyTorch or TensorFlow for model development and cloud services like AWS for computation. Communication happens through platforms like Slack and Zoom, while code is managed with Git.
Question 7How can you grow your career as a remote AI Research Scientist professional?
Publishing your research at leading conferences builds your reputation and connects you with the global community. Continuously learning new techniques and contributing to open-source projects also demonstrates your expertise.
Question 8Why is AI Research Scientist important in remote-first companies?
AI Research Scientists build the core intellectual property and competitive advantages for these companies. Their work on advanced algorithms directly improves products and services for a distributed user base.