1

Ai Lab Salary Jobs (NOW HIRING)

AI Engagement Manager

$150K - $180K/yr

Own a portfolio of flagship AI lab and model-builder accounts as the primary point of contact ... Compensation Base salary $150K-$180K, plus equity. Final offer depends on experience and level, and ...

Lab Manager

Boston, MA · On-site

$95 - $105/hr

job summary: We're building a Physical AI lab from the ground up in Boston - the kind of place ... Contract salary: $95 - 105 per hour work hours: 8am to 5pm education: Bachelors responsibilities:

New

Research Scientist

San Francisco, CA · On-site

$100 - $300/hr

About Cogent Security Cogent is an Applied AI Lab building the next generation of AI agents for ... salary range for this position is $100,000 - $300,000 annually. Compensation offered will be ...

... the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained ... Salary range(s) for this role $150,000-$250,000 USD Be Your Best at Snorkel Joining Snorkel AI ...

We are an applied AI lab building end-to-end software agents. We're the makers of Devin, the first ... Base Salary: $260,000 - $300,000 + significant early-stage equity * Medical, Dental, Vision: Fully ...

Showing results 21-40

Ai Lab Salary information

See salary details

$9

$25

$45

How much do ai lab salary jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for ai lab salary in the United States is $25.25, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $27.88 per hour, depending on experience, location, and employer.

What is the average salary in an AI lab?

The average salary in an AI lab can vary greatly depending on the role, level of experience, and location. Entry-level research assistants or engineers might earn between $70,000 and $120,000 per year in the United States, while senior researchers and AI scientists can earn upwards of $150,000 to $250,000 or more. Compensation packages often include bonuses, stock options, and other benefits, especially at leading tech companies. Salaries may also differ between academia, industry, and government labs. It's important to consider the specific position and institution when researching AI lab salaries.

What are the key skills and qualifications needed to thrive as an AI lab researcher?

To thrive as an AI Lab Researcher, you need a strong background in computer science, mathematics, and machine learning, typically supported by an advanced degree such as a Master's or Ph.D. in a related field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and experience with data analysis tools are essential. Innovation, critical thinking, and strong collaboration skills help researchers excel in developing novel AI solutions and working within interdisciplinary teams. These skills and qualities enable impactful research, successful project outcomes, and advancement in the rapidly evolving field of artificial intelligence.

What are some common challenges faced by professionals working in an AI lab environment?

Professionals in AI labs often encounter challenges such as balancing research innovation with practical, real-world applications and collaborating across multidisciplinary teams. The fast-paced evolution of AI technologies requires continuous learning and adaptation. Additionally, managing large datasets and ensuring ethical considerations in developing AI solutions can add complexity to daily work. Collaboration is key, as projects often involve data scientists, engineers, and domain experts working closely together.

What is the difference between Ai Lab Salary vs Data Scientist Salary?

AspectAi Lab SalaryData Scientist Salary
Required CredentialsTypically requires a master's or PhD in AI, machine learning, or related fieldsUsually requires a master's or PhD in data science, statistics, or related areas
Work EnvironmentResearch-focused labs, tech companies, or AI startupsCorporate, research institutions, or tech companies
Industry UsagePrimarily in AI research and developmentData analysis, predictive modeling, and business insights

While both roles often require advanced degrees and work in tech environments, Ai Lab salaries are typically associated with research-focused positions in AI labs, whereas Data Scientist salaries are more common in data analysis and business intelligence roles. Salary ranges can vary based on experience, location, and employer.

More about Ai Lab Salary jobs

What cities are hiring for Ai Lab Salary jobs?

Cities with the most Ai Lab Salary job openings:

What states have the most Ai Lab Salary jobs?

States with the most job openings for Ai Lab Salary jobs include:

What job categories do people searching Ai Lab Salary jobs look for?

The top searched job categories for Ai Lab Salary jobs are:

Infographic showing various Ai Lab Salary job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $52,516 per year, or $25.2 per hour.

Software Engineer - Applied AI

Cogent Security

San Francisco, CA • On-site

$100K - $300K/yr

Full-time

Re-posted 9 days ago


Job description

About Cogent
Cogent is an Applied AI Lab building the next generation of AI agents for cybersecurity. AI has fundamentally changed how attacks happen, allowing malicious actors to operate at unprecedented speed and scale. Cogent's "AI Taskforce" assesses petabytes of enterprise data to remediate these issues before critical breaches occur.
To stay at the cutting edge, we blend frontier research with real-world execution. Alongside our core product work, Cogent Research serves as our applied AI lab, providing the research horsepower needed to make truly agentic security workflows a reality.
Since coming out of stealth, Cogent has experienced rapid growth. We partner with Fortune 500 companies to secure some of the most complex production environments in the world.
We're backed by Greylock and we've built a team with the best minds in applied AI. Our team is comprised of people from:
  • Top universities like Stanford, Berkeley, Penn, Duke, Carnegie Mellon, Waterloo
  • Unicorn, high-growth companies like Scale AI, Databricks, Stripe, Tesla, Coinbase
  • World class cybersecurity experts from Wiz, Abnormal AI, Zscaler
  • Preeminent research labs like Deepmind and SAIL

About the Role
As we onboard our first design partners, Cogent is launching the world's first AI cyber taskforce, which is composed of AI agents capable of human-caliber reasoning for cybersecurity tasks. We are looking for talented, ambitious AI/ML Engineers who are excited to build in the Applied AI space.
What You'll Do & Achieve
  • Architect and launch the world's first AI Cyber Taskforce
    • Work closely with our design customers to design and launch our flagship AI agents that are capable of automating tasks in vulnerability management
    • Understand business goals, product and technology strategies, and customer requirements and implement business-critical AI systems to achieve them
    • Identify appropriate datasets and data representations to support system development
    • Decompose existing enterprise security workflows into sub-tasks that can be modeled as an autonomous system
    • Experiment with the latest advancements in long-term reasoning and planning to design systems that allows Cogent to evolve the data flywheel of our AI products from initially highly supervised to eventually autonomous and managed by exception
  • Build and extend Cogent's Gen AI Platform
    • Implement reusable system components for ranking, retrieval and search systems powered by LLMs for agentic automation
    • Put in place frameworks to train, evaluate, and stress-test ML systems, and extend improvements on Cogent's Gen AI platform
    • Stay on top of and when appropriate, propose incorporating cutting edge developments in ML and Gen AI into Cogent's AI systems
  • Help create a robust engineering culture at Cogent
    • Onboard, support and uplevel future team members
    • Mentor and grow future junior team members
    • Actively contribute to Engineering Excellence, Operational Excellence and Recruiting initiatives

What You'll Bring
  • Multiple years of relevant experience in developing and deploying AI-driven systems, with a proven track record of architecting practical, production-grade solutions that solve real-world problems
  • Expertise in machine learning, deep learning, and AI models, with a deep understanding of how to apply these technologies to build scalable, performant systems in production environments
  • Experience with designing and deploying agentic systems and autonomous agents, as well as integrating these AI components into larger applications or products
  • Ability to address and navigate real-world scale and performance challenges, ensuring that AI models and systems are efficient, robust, and performant under production constraints
  • Familiarity with cutting-edge AI technologies, including reinforcement learning, natural language processing, computer vision, and large-scale generative models
  • Proven ability to work iteratively and collaborate with cross-functional teams to evolve AI models and systems that meet evolving product needs and user expectations
  • Passion for staying at the forefront of AI advancements, continuously learning and applying emerging techniques to improve product performance and drive innovation

For California Based Applicants
The standard base salary range for this position is $100,000 - $300,000 annually. Compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
We are committed to building an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.