ABOUT THE ROLE We are hiring an Applied AI Scientist to push the frontier of what is possible with LLMs, NLP, and machine learning in real-world environments. This is not a role for someone who wants ...
ABOUT THE ROLE We are hiring an Applied AI Scientist to push the frontier of what is possible with LLMs, NLP, and machine learning in real-world environments. This is not a role for someone who wants ...
AI Scientist / AI Solutions Architect (Applied AI)
Austin, TX · On-site
$100 - $140/hr
AI Scientist / AI Solutions Architect (Applied AI) Sheetak is looking for a hands-on AI Scientist / AI Solutions Architect to build and deploy AI-driven solutions both on the technical and business ...
New
AI Scientist / AI Solutions Architect (Applied AI)
Austin, TX · On-site
$100 - $140/hr
AI Scientist / AI Solutions Architect (Applied AI) Sheetak is looking for a hands-on AI Scientist / AI Solutions Architect to build and deploy AI-driven solutions both on the technical and business ...
New
Applied AI Scientist
Santa Monica, CA · On-site
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Applied AI Scientist
Santa Monica, CA · On-site
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Applied AI Scientist
Saint Paul, MN · On-site
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Applied AI Scientist
Saint Paul, MN · On-site
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Applied AI Scientist
Phoenix, AZ · On-site
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Applied AI Scientist
Phoenix, AZ · On-site
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Applied AI Scientist
Boston, MA · On-site
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Applied AI Scientist
Boston, MA · On-site
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Applied AI Scientist
Tempe, AZ · On-site
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Applied AI Scientist
Tempe, AZ · On-site
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Applied AI Scientist
Tampa, FL · On-site
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Applied AI Scientist
Tampa, FL · On-site
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Applied AI Scientist
Nashville, TN · On-site
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Applied AI Scientist
Nashville, TN · On-site
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Applied AI Scientist
Durham, NC · On-site
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Applied AI Scientist
Durham, NC · On-site
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Applied AI Scientist
Centennial, CO · On-site
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Applied AI Scientist
Centennial, CO · On-site
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Applied AI Scientist
Maynard, MA · On-site
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Applied AI Scientist
Maynard, MA · On-site
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Applied AI Scientist
Denver, CO · On-site
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Applied AI Scientist
Denver, CO · On-site
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Applied AI Scientist
Columbia, SC · On-site
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Applied AI Scientist
Columbia, SC · On-site
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Applied AI Scientist
Boulder, CO · On-site
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Applied AI Scientist
Boulder, CO · On-site
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Applied AI Scientist
Oklahoma City, OK · On-site
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Applied AI Scientist
Oklahoma City, OK · On-site
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Applied AI Scientist
Lehi, UT · On-site
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Applied AI Scientist
Lehi, UT · On-site
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Applied AI Scientist
Mclean, VA · On-site
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Applied AI Scientist
Mclean, VA · On-site
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Applied AI Scientist
Stamford, CT · On-site
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Applied AI Scientist
Stamford, CT · On-site
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Applied Ai Scientist information
See salary details
$37.5K - $52K
2% of jobs
$52K - $66.4K
3% of jobs
$66.4K - $80.9K
6% of jobs
$80.9K - $95.3K
9% of jobs
$100K is the 25th percentile. Wages below this are outliers.
$95.3K - $109.8K
15% of jobs
The median wage is $119.4K / yr.
$109.8K - $124.2K
22% of jobs
$132.2K is the 75th percentile. Wages above this are outliers.
$124.2K - $138.7K
32% of jobs
$138.7K - $153.1K
3% of jobs
$153.1K - $167.6K
4% of jobs
$167.6K - $182K
1% of jobs
$182K - $196.5K
2% of jobs
$37.5K
$122.7K
$196.5K
How much do applied ai scientist jobs pay per year?
As of Sep 4, 2026, the average yearly pay for applied ai scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.
What is the difference between Applied Ai Scientist vs Data Scientist?
| Aspect | Applied Ai Scientist | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or Master's in CS, AI, or related fields; experience with machine learning frameworks | Bachelor's or Master's in CS, Statistics, or related fields; strong analytical skills |
| Work Environment | Develops AI models, implements algorithms, collaborates with engineering teams | Analyzes data, builds statistical models, visualizes insights |
| Industry Usage | Tech companies, AI startups, R&D departments | Finance, healthcare, marketing, tech industries |
Applied Ai Scientists focus on developing and deploying AI models and algorithms, often working closely with engineering teams. Data Scientists analyze and interpret data to generate insights, typically working on statistical modeling and data visualization. While both roles require strong technical skills, Applied Ai Scientists are more specialized in AI and machine learning implementation, whereas Data Scientists focus on data analysis and insights.
How much do applied AI scientists get paid?
Applied AI scientists typically earn between $80,000 and $150,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in machine learning, deep learning, and programming languages like Python or TensorFlow tend to offer higher salaries.
What does an applied AI scientist do?
An applied AI scientist develops and implements artificial intelligence models and algorithms to solve real-world problems. They work with large datasets, use programming languages like Python or R, and often collaborate with cross-functional teams to deploy AI solutions in practical applications such as automation, data analysis, or product development.
More about Applied Ai Scientist jobs
What cities are hiring for Applied Ai Scientist jobs?
Cities with the most Applied Ai Scientist job openings:
What states have the most Applied Ai Scientist jobs?
States with the most job openings for Applied Ai Scientist jobs include:
What job categories do people searching Applied Ai Scientist jobs look for?
The top searched job categories for Applied Ai Scientist jobs are:
Full-time
Posted 24 days ago
Job description
ABOUT OUTMARKET
Outmarket is the AI platform for insurance, trusted by more than 250 brokerages to run the work their business depends on. Commercial insurance still runs on dense documents and slow, manual workflows, and that is exactly what we automate: quote comparisons, coverage gap and tower analysis, policy review, and proposal generation, all grounded in our customers' own data and source-cited so teams can trust the output.
The impact is concrete. Teams save 12 to 15 hours per person every week, cut errors by roughly 65 percent, and win more business, all on infrastructure that is SOC 2 Type II certified, single-tenant, and never used to train AI models. We are an AI-first company in both what we build and how we work, shipping quickly and in close partnership with the agencies that rely on us.
WHAT YOU'LL GET
We are hiring an Applied AI Scientist to push the frontier of what is possible with LLMs, NLP, and machine learning in real-world environments. This is not a role for someone who wants to optimize benchmarks in isolation and hand work off to someone else. It is a role for someone who wants to see advanced research become customer-facing product quickly.
You will work closely with founders, product leaders, and engineers to turn advanced AI techniques into systems that operate under real production constraints.
WHY THIS ROLE
Outmarket is the AI platform for insurance, trusted by more than 250 brokerages to run the work their business depends on. Commercial insurance still runs on dense documents and slow, manual workflows, and that is exactly what we automate: quote comparisons, coverage gap and tower analysis, policy review, and proposal generation, all grounded in our customers' own data and source-cited so teams can trust the output.
The impact is concrete. Teams save 12 to 15 hours per person every week, cut errors by roughly 65 percent, and win more business, all on infrastructure that is SOC 2 Type II certified, single-tenant, and never used to train AI models. We are an AI-first company in both what we build and how we work, shipping quickly and in close partnership with the agencies that rely on us.
WHAT YOU'LL GET
- A high-impact role with ownership from day one.
- Competitive compensation and meaningful equity.
- Direct collaboration with founders and real users.
- Remote-first flexibility.
- The opportunity to help build an AI-native product from the ground up.
We are hiring an Applied AI Scientist to push the frontier of what is possible with LLMs, NLP, and machine learning in real-world environments. This is not a role for someone who wants to optimize benchmarks in isolation and hand work off to someone else. It is a role for someone who wants to see advanced research become customer-facing product quickly.
You will work closely with founders, product leaders, and engineers to turn advanced AI techniques into systems that operate under real production constraints.
WHY THIS ROLE
- Apply cutting-edge AI research to live customer workflows and production systems.
- Work directly with founders and a highly experienced technical team.
- Build solutions for document intelligence, quote comparison, workflow optimization, and other high-value use cases.
- See your work move from research to deployment in weeks, not quarters.
- Help define how applied AI creates advantage in a large, underserved market.
- Research and develop LLM-based solutions for NLP, document intelligence, semantic search, and data extraction.
- Design and improve prompt strategies, retrieval-augmented generation systems, and fine-tuned models.
- Partner with product and engineering teams to bring AI capabilities into customer-facing workflows.
- Build evaluation pipelines and benchmarks for accuracy, performance, and robustness.
- Stay current on new research and rapidly test promising techniques in practical settings.
- Operate as both a scientist and builder, with direct responsibility for whether ideas survive contact with real data.
- PhD in Computer Science, Machine Learning, NLP, or a related field.
- Strong research background with publications in top-tier AI venues such as NeurIPS, ACL, ICML, or EMNLP.
- Hands-on experience with LLMs, transformers, embeddings, or neural information retrieval.
- Proficiency in Python and ML tooling such as PyTorch, Hugging Face, and LangChain.
- Track record of applying research in practical, production-oriented systems.
- Strong technical judgment about what is novel, what is useful, and what is actually ready to ship.
- Experience with unstructured data such as PDFs, forms, contracts, or portals.
- Background in enterprise or B2B AI applications.
- Familiarity with insurance, legal, or document-heavy industries.
- A high-impact role on a team that moves quickly and builds with purpose.
- Competitive compensation and meaningful equity.
- Remote-first flexibility.
- Access to real data, real users, and fast feedback cycles.
- The opportunity to bring advanced research to life in a major industry.