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$24.5K

$48.4K

$79K

How much do ai for science jobs pay per year?

As of Jul 9, 2026, the average yearly pay for ai for science in the United States is $48,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,500.00 and $52,000.00 per year, depending on experience, location, and employer.

How does collaboration typically work between AI for Science professionals and domain experts in research teams?

AI for Science professionals frequently work closely with experts in fields such as biology, chemistry, or physics to identify scientific problems that can benefit from machine learning techniques. Collaboration usually involves regular meetings to translate complex scientific challenges into data-driven models, sharing domain knowledge, and iteratively refining solutions. Effective communication and a willingness to bridge gaps between computational and scientific perspectives are essential. This interdisciplinary teamwork not only enhances the impact of AI solutions but also fosters ongoing learning and innovation.

Which 3 jobs will survive AI?

For roles related to AI for science, jobs such as research scientists, data analysts, and laboratory technicians are likely to persist as they require specialized knowledge, critical thinking, and hands-on experimentation that AI cannot fully replicate. These positions often involve complex problem-solving, interpretation of experimental data, and domain-specific expertise. Continuous learning and proficiency with AI tools can enhance job security in these fields.

What is AI for Science?

AI for Science refers to the application of artificial intelligence and machine learning techniques to accelerate scientific discovery and research. By leveraging large datasets, complex models, and advanced computational methods, AI helps scientists analyze data, identify patterns, simulate experiments, and make predictions across various scientific fields such as biology, chemistry, physics, and climate science. This approach can significantly speed up research, uncover new insights, and solve problems that were previously too complex or time-consuming for traditional methods.

What AI can I use for science?

AI for science involves using machine learning models, data analysis tools, and neural networks to analyze scientific data, make predictions, and automate research tasks. Common tools include TensorFlow, PyTorch, and specialized platforms like DeepMind or IBM Watson, often requiring programming skills in Python and knowledge of data science. These AI applications support fields such as biology, chemistry, physics, and environmental science.

Can AI take over science jobs?

AI for science roles involves automating data analysis, modeling, and research tasks, which can enhance productivity but are unlikely to fully replace scientists. Human expertise is essential for designing experiments, interpreting results, and making complex decisions. AI tools are typically used to support scientists rather than replace them entirely.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI executive, often requiring advanced skills, extensive experience, and leadership responsibilities. These roles may involve overseeing AI projects, developing innovative algorithms, and working with cutting-edge tools, and they usually offer compensation in the upper echelons of the industry. Such salaries are more common in large tech companies or specialized AI firms.

What are the key skills and qualifications needed to thrive as an AI for Science Specialist, and why are they important?

To thrive as an AI for Science Specialist, you need a strong background in computer science, mathematics, and scientific domains, often supported by advanced degrees (e.g., PhD or MSc) in relevant fields. Proficiency with machine learning frameworks (such as TensorFlow or PyTorch), scientific computing tools, and familiarity with high-performance computing environments are typically required. Critical thinking, interdisciplinary collaboration, and effective communication are crucial soft skills for translating scientific problems into AI solutions. These skills are vital for developing innovative models, ensuring research rigor, and enabling impactful scientific discoveries.

What is the difference between Ai For Science vs Data Scientist?

AspectAi For ScienceData Scientist
Required CredentialsDegree in Science, Computer Science, or related fields; knowledge of AI and machine learningDegree in Statistics, Computer Science, or related fields; strong programming skills
Work EnvironmentResearch labs, scientific institutions, tech companies focused on scientific applicationsCorporate, tech firms, finance, healthcare, and other industries analyzing data
Industry UsageApplied to scientific research, simulations, and experimental data analysisUsed for data analysis, predictive modeling, and business insights

Ai For Science focuses on applying AI techniques to scientific research and experiments, often requiring a background in science and specialized knowledge of AI. Data Scientists analyze large datasets across various industries to extract insights and build models. While both roles involve AI and data analysis, Ai For Science is more research-oriented within scientific contexts, whereas Data Scientists work across diverse sectors on data-driven decision making.

More about Ai For Science jobs
What cities are hiring for Ai For Science jobs? Cities with the most Ai For Science job openings:
What states have the most Ai For Science jobs? States with the most job openings for Ai For Science jobs include:
What job categories do people searching Ai For Science jobs look for? The top searched job categories for Ai For Science jobs are:
Ai For Science jobs near you
Infographic showing various Ai For Science job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $48,391 per year, or $23.3 per hour.
Argonne AI for Science Teacher Institute

Argonne AI for Science Teacher Institute

Argonne National Laboratory

Lemont, IL • On-site

$48K - $62K/yr

Part-time

Posted 28 days ago

Job description

Internship Description
The AI for Science Teacher Institute is an immersive weeklong educational experience for high school science teachers held at Argonne National Laboratory. Participants will have the opportunity to explore artificial intelligence and generative AI, their role in scientific discovery, and how they can be thoughtfully and effectively integrated into high school science classrooms. No prior experience with AI is necessary.
As part of the institute, participants will gain hands-on experience with generative AI models, learn how AI is transforming cutting-edge research at Argonne National Laboratory, and collaborate with scientists and fellow educators to develop innovative classroom resources. Following the weeklong August session, participants will continue their learning and professional growth as members of an ongoing virtual learning community, with monthly sessions scheduled throughout the 2026-2027 school year.
These sessions are intended to create space for teachers to share their successes and failures with a supportive community engaged in developing effective AI practices for science education.
This program is specifically designed for practicing, high school science teachers with an interest in understanding and integrating AI into their science classrooms.
Education and Experience Requirements
  • Must be a practicing science teacher for the 2026-27 school year.

Internship Family
Education Programs Funded
Internship Category
PSI Teacher Institute

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