25 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!
Web Researcher – AI Benchmarking
Web Researcher designing difficult, evidence-traced benchmarks for frontier AI browsing agents. Building reproducible open-web investigations and validation documentation.
Web Researcher – AI Benchmarking
Web Researcher designing difficult open-web problems for frontier AI browsing agents. Building evidence trails and reproducible benchmarks from verifiable facts.
Applied AI Research Intern
Applied AI Research Intern evaluating AI tools across Vulcury’s consulting practice and ventures. Delivering evidence-based adoption, build, partnership, and competitive recommendations to the CEO.
Senior AI Research Scientist, Model-based RL
Senior AI Research Scientist developing model-based reinforcement learning for Phaidra’s AI-powered industrial automation systems. Designing safe agents, world models, and planning controllers for real-world deployment.
Staff Machine Learning Researcher
Staff Machine Learning Researcher advancing deep-learning advertising technology at RTB House. Designing production models, researching bidding solutions, analyzing A/B tests, and mentoring ML researchers.
Applied AI Scientist
Applied AI Scientist building production AI systems for Vantor’s spatial intelligence platform. Transforming geospatial data, imagery, and multimodal models into actionable Earth intelligence.
AI Research Engineer 6 – TL, Algo Core – AI for Member Systems
AI Research Engineer leading Netflix’s reward modeling and multi-objective optimization systems. Shaping promotional decisions across recommendation, personalization, and member experiences.
Senior Data Scientist – AI Research
Sr. Data Scientist advancing AI/ML initiatives for Lyra Health’s evidence-based mental healthcare platform. Building predictive and generative models, data pipelines, and evaluation frameworks for patients, providers, and employers.
US Lawyer – AI Legal Research, Evaluation
US-qualified Lawyer needed for legal research in tech project focusing on AI. Conducting analysis and drafting legal content for various US law topics in a remote capacity.
Senior Threat Researcher – AI, Autonomous Cybercrime
Senior Threat Researcher examining AI misuse in cybercrime for a cybersecurity SaaS firm. Engaging in proactive threat intelligence and producing original research.
Senior Speech AI Researcher
Senior Speech AI Researcher transforming unique data streams into the gold standard for AI training. Bridging mobile users and AI labs, defining research agenda and leading evaluation pipelines.
Head of Market Research – AI-Native Research
Head of Market Research at Maze, defining AI-native methods and building a research organization.
Advanced Specialist, AI Scientist
AI Scientist developing and supporting Pearson’s machine learning assessments and automated scoring solutions. Collaborating with teams to ensure high-quality delivery and innovation in educational technologies.
Senior AI Threat Researcher
Senior researcher focusing on AI and cybersecurity within Sophos, analyzing threat actors' use of AI and driving operational efficiencies. Collaborating across teams to synthesize findings into actionable intelligence strategies.
Principal AI/ML Researcher – Reasoning, Planning, and Decision-making Systems
Principal AI/ML Researcher developing cognitive AI systems for practical decision-making at Airbnb. Leading research and innovation in reasoning and planning frameworks.
AI Research Engineer, Kernel & Inference Optimization
AI Research Engineer driving innovation in model serving and inference architectures for advanced AI systems at Tether. Focusing on optimizing models for responsive, efficient, and scalable AI performance.
AI Research Engineer – Kernel, Inference Optimization
AI Research Engineer at Tether focusing on optimizing model serving and inference architectures for advanced AI systems. Designing scalable performance solutions affecting real-world applications.
AI Research Engineer – Kernel & Inference Optimization
AI Research Engineer at Tether focusing on optimizing model serving and inference architectures. Collaborate globally to develop cutting-edge fintech solutions.
AI Research Engineer – Kernel & Inference Optimization
AI Research Engineer focusing on model serving and inference architectures at Tether. Join the fintech revolution with cutting-edge AI systems and optimizations.
AI Research Engineer – Kernel & Inference Optimization
AI Research Engineer responsible for optimizing model serving and inference architectures. Join Tether to innovate in the fintech space remotely from India.
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.