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Ai Phd Jobs (NOW HIRING)

Weekday AI

Mathematics PhD AI Trainer

$70 - $140/hr

... AI-generated proofs and solutions for accuracy, rigor, and logical soundness . * Provide structured feedback to refine and strengthen mathematical reasoning models. Ideal Qualifications * Recent PhD ...

Weekday AI

Economics AI Trainer (PhD)

$70 - $90/hr

... AI model performance in economics domain. You will be evaluating advanced economics tasks and solutions and provide clear, written feedback Requirements Requirements: Education : PhD in Economics ...

Weekday AI

Physics AI Trainer (PhD)

$70 - $85/hr

... AI model performance in Physics domain. You will be evaluating advanced math tasks and solutions and provide clear, written feedback Requirements Requirements: Education : PhD in Physics from a top ...

Weekday AI

Chemistry Expert (PhD) - AI Trainer

$65 - $85/hr

Ensure academic rigor and scientific precision in all chemistry-related content used to train or evaluate AI systems Ideal Qualifications * PhD in Chemistry or a closely related discipline from a top ...

Weekday AI

Biology Expert (PhD) - AI Trainer

$100/hr

... test AI reasoning and analytical capabilities * Support data generation and evaluation processes to improve next-generation large language models Ideal Qualifications * PhD in Biology or a closely ...

Mercor

AI Research Collaborator - PhD

New York, NY · Remote

$80 - $110/hr

Collaborate with domain experts to enhance AI model training and ensure task relevance and accuracy. Qualifications Must-Have * Current or retired professor, or PhD student , in STEM or professional ...

Weekday AI

Maths (Masters or PhD) AI trainer

$110 - $130/hr

... AI model performance in Math domain. You will be evaluating advanced math tasks and solutions and provide clear, written feedback Requirements Requirements: Education : Master or PhD in Maths from a ...

Mercor

Biology PhD - AI Safety Expert

New York, NY · On-site +1

$65 - $70/hr

Biology Expert (PhD) -- AI Safety Type: Contract Compensation: $65-$70/hour Location: Remote Commitment: 15-25 hours/week, with flexibility up to 40 hours/week Role Responsibilities * Write expert ...

Mercor

AI Research Scientist - PhD

San Francisco, CA · Remote

$55 - $80/hr

PhD or advanced degree in Medicine / Healthcare , Statistics and Data Science , AI / ML Research , Computer Science , Game Development , or Mechanical / Aerospace Engineering . * High attention to ...

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How much do ai phd jobs pay per year?

As of Jul 26, 2026, the average yearly pay for ai phd in the United States is $126,499.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,500.00 per year, depending on experience, location, and employer.

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 researcher, AI director, or executive role, often in large tech companies or specialized firms. These roles usually require advanced skills in machine learning, deep learning, and data science, along with extensive experience and leadership responsibilities.

What is the difference between Ai Phd vs Machine Learning Engineer?

AspectAi PhdMachine Learning Engineer
Required CredentialsPhD in AI, Computer Science, or related fieldBachelor's or Master's in CS, Data Science, or related field; some roles prefer PhD
Work EnvironmentResearch labs, academia, R&D departmentsIndustry companies, tech firms, startups
Employer & Industry UsageUniversities, research institutions, R&D divisionsTech companies, finance, healthcare, e-commerce
Common Search & ComparisonYesYes

While both Ai Phd and Machine Learning Engineer roles involve working with AI and machine learning technologies, Ai Phd positions are typically research-focused, often in academia or R&D labs, requiring advanced degrees. Machine Learning Engineers usually work in industry, applying algorithms to real-world problems, often with a bachelor's or master's degree. The choice depends on whether you prefer research or practical application in your career.

Is getting a PhD in AI worth it?

A PhD in AI can lead to advanced research, academic positions, and specialized roles in industry, often requiring strong programming skills and knowledge of machine learning frameworks. It typically takes several years to complete and is valuable for careers focused on innovation and development in artificial intelligence. However, the decision depends on career goals, as industry roles may also be accessible with master's degrees or experience.

What can I do with a PhD in AI?

A PhD in AI prepares individuals for advanced roles in research, development, and innovation within industries such as technology, healthcare, finance, and robotics. Graduates often work as AI researchers, data scientists, machine learning engineers, or AI consultants, utilizing skills in programming, data analysis, and model development. These roles typically require strong technical expertise and familiarity with tools like Python, TensorFlow, or PyTorch.

What is the salary of PhD in AI?

A PhD in AI typically earns between $100,000 and $150,000 annually in industry roles, depending on experience, location, and the specific employer. Senior positions or those in high-demand areas like machine learning and deep learning can offer higher salaries, often exceeding $200,000 with bonuses and stock options.
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Ai Phd jobs near you
Infographic showing various Ai Phd job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $126,499 per year, or $60.8 per hour.
Research Scientist, Generative AI for Physical AI - PhD New College Grad 2026

Research Scientist, Generative AI for Physical AI - PhD New College Grad 2026

NVIDIA

Santa Clara, CA • On-site

Full-time

Posted 16 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 245 rated software companies

Job description

Job Summary:
NVIDIA is a leading technology company known for its innovative work in AI. They are seeking a Research Scientist specializing in Generative AI for Physical AI to develop next-generation algorithms and enhance physical AI applications. The role involves pioneering generative AI algorithms, architecting data processing pipelines, and collaborating with various research teams.
Responsibilities:
• Pioneer revolutionary generative AI algorithms for physical AI applications, with a focus on advanced video generative models and video-language models
• Architect and implement sophisticated data processing pipelines that produce premium-quality training data for Generative AI and Physical AI systems
• Design and develop cutting-edge physics simulation algorithms that enhance Physical AI training
• Scale and optimize large-scale training systems to efficiently harness the power of 20,000+ GPUs for training foundation models
• Author influential research papers to share your groundbreaking discoveries with the global AI community
• Drive innovation through close collaboration with research teams, diverse internal product groups, and external researchers
• Build lasting impact by facilitating technology transfer and contributing to open-source initiatives
Qualifications:
Required:
• PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).
• Deep expertise in PyTorch and related libraries for Generative AI and Physical AI development
• Strong foundation in diffusion, vision language and reasoning models and their applications
• Proven experience with reinforcement learning algorithms and implementations
• Robust knowledge of physics simulation and its integration with AI systems
• Demonstrated proficiency in 3D generative models and their applications
Preferred:
• Publications or contributions to major AI conferences (ICLR, NeurIPS, ICML, CVPR, ECCV, SIGGRAPH, ICCV, etc.)
• Experience with large-scale distributed training systems
• Background in robotics or physical systems
• Open-source contributions to prominent AI projects
• History of successful research-to-product transitions
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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