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Top Ai Jobs (NOW HIRING)

Azumo

AI Software Engineer - Remote

We specialize in delivering Top AI Development services , helping organizations build intelligent applications powered by Generative AI, large language models ( LLMs ), and advanced automation. As ...

Vast.ai Inc

AI Agent Researcher

San Francisco, CA · On-site

$160K - $320K/yr

Published research at top AI conferences Key Responsibilities * Lead cutting-edge research in AI agents, focusing on memory, reliability, and reasoning * Prototype and evaluate novel state-of-the-art ...

Cisco

Senior AI Researcher

San Francisco, CA

Our researchers publish at top AI conferences, contribute to open-source projects, collaborate with leading academic institutions, and build production systems that solve challenging enterprise-scale ...

Cisco

Senior AI Researcher

San Francisco, CA · On-site

Our researchers publish at top AI conferences, contribute to open-source projects, collaborate with leading academic institutions, and build production systems that solve challenging enterprise-scale ...

Samaya AI

ML Research Intern

Mountain View, CA

Conduct original research in the broad areas of LLM training and evaluation, RAG, RL and AI agents, leading to publications in top ML/NLP conferences * Develop and experiment with new models ...

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What are some common challenges faced by AI specialists working on cutting-edge projects?

AI specialists working on advanced projects often encounter challenges such as managing large, complex datasets, ensuring model accuracy, and addressing ethical considerations like bias and transparency. Collaboration with cross-functional teams—including data engineers, product managers, and domain experts—is essential for aligning technical solutions with business goals. Additionally, staying current with rapid advancements in AI research and tools is crucial for success in this dynamic field.

What are Top AI professionals?

Top AI professionals are experts in the field of artificial intelligence who demonstrate advanced knowledge and skills in developing, implementing, and optimizing AI systems. They often lead research, design algorithms, and work on machine learning, deep learning, and data analysis projects across various industries. These individuals typically have strong backgrounds in computer science, mathematics, and statistics, and are recognized for their contributions through publications, leadership roles, or innovative AI solutions.

Which AI job is most in demand?

Data scientist and machine learning engineer roles are among the most in demand in AI, as they develop and implement algorithms for various applications. These positions typically require strong programming skills in Python or R, knowledge of deep learning frameworks, and experience with large datasets. The demand is driven by industries seeking automation, predictive analytics, and AI-driven solutions.

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

To thrive as an AI Specialist, you need strong programming skills (such as Python or R), a solid foundation in mathematics and statistics, and typically a degree in computer science, data science, or a related field. Experience with machine learning frameworks (like TensorFlow or PyTorch), cloud platforms, and relevant certifications (such as AWS Certified Machine Learning) is highly valuable. Analytical thinking, problem-solving ability, and effective communication set top performers apart in this role. These skills are crucial for developing, deploying, and explaining AI solutions that drive innovation and business value.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI executive, often requiring advanced skills in data science, programming, and deep learning. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms with competitive compensation packages.

What professions make 200,000 a year without a degree?

In the AI and tech fields, roles such as AI specialists, data scientists, and machine learning engineers can reach or exceed $200,000 annually through experience, advanced skills, and certifications. Additionally, certain sales, software development, and cybersecurity positions may achieve high earnings without a traditional degree, often requiring strong technical expertise and industry experience.

What is the highest-paying AI job?

The highest-paying AI jobs are typically senior roles such as AI research directors, machine learning engineers, and AI solutions architects, often earning six-figure salaries. These positions require advanced skills in deep learning, natural language processing, and experience with tools like TensorFlow or PyTorch, along with strong educational backgrounds in computer science or related fields.
More about Top Ai jobs
What cities are hiring for Top Ai jobs? Cities with the most Top Ai job openings:
What states have the most Top Ai jobs? States with the most job openings for Top Ai jobs include:
What job categories do people searching Top Ai jobs look for? The top searched job categories for Top Ai jobs are:
Top Ai jobs near you
Infographic showing various Top Ai job openings in the United States as of July 2026, with employment types broken down into 67% Full Time, 22% Part Time, and 11% Contract. Highlights an 59% Physical, 3% Hybrid, and 38% Remote job distribution.

Eloquent AI Fellowship Program

Eloquent AI

San Francisco, CA • On-site

Full-time

Posted 11 days ago

Job description

Meet Eloquent AI
At Eloquent AI, we're building the next generation of AI Operators-multimodal, autonomous systems that execute complex workflows across fragmented tools with human-level precision. Our technology goes far beyond chat: it sees, reads, clicks, types, and makes decisions-transforming how work gets done in regulated, high-stakes environments.
We're already powering some of the world's leading financial institutions and insurers, fundamentally changing how millions of people manage their finances every day. From automating compliance reviews to handling customer operations, our Operators are quietly replacing repetitive, manual tasks with intelligent, end-to-end execution.
Headquartered in San Francisco with a global footprint, Eloquent AI is a fast-growing company backed by top-tier investors. Join us to work alongside world-class talent in AI, engineering, and product as we redefine the future of financial services.
Accelerate Your AI Career at Eloquent AI
The Eloquent AI Fellowship is a high-impact, hands-on program designed for STEM PhDs, post-docs, and early-career AI researchers looking to transition into the world of applied AI. If you're eager to develop, deploy, and optimize AI agents while gaining real-world experience in enterprise AI applications, this program is for you.
Through a structured, immersive experience, you'll work alongside AI engineers, product managers, and researchers, gaining exposure to AI model development, MLOps, and conversational AI systems. You'll leave the program ready to take on leadership roles in AI product development, engineering, or research.
You'll also have the opportunity to collaborate with Prof. Aldo Lipani, Eloquent AI co-founder, whose pioneering research has advanced fine-tuning, evaluation methods, and simulators for LLMs. You'll work on research projects involving AI evaluation, model robustness, and scalable testing frameworks-scientifically measuring, reproducing, and optimizing AI performance.
Program Structure
The Eloquent AI Fellowship is a 12-week rotational program providing in-depth exposure to AI engineering, applied ML, and AI-driven product management.
AI Engineering (6 weeks): Work on training, fine-tuning, and deploying AI agents that power enterprise-grade conversations. Gain hands-on experience in LLMs, RAG pipelines, prompt engineering, and inference optimization.
AI Product Development (4 weeks): Collaborate with AI product teams to design, iterate, and integrate AI solutions into enterprise applications. Learn how to bridge the gap between cutting-edge AI research and real-world impact.
Industry Applications & Capstone (2 weeks): Apply what you've learned in a real-world AI project, working with Eloquent AI's product, engineering, and research teams to solve enterprise challenges.
You'll be mentored by top AI practitioners and receive exclusive access to industry-leading resources, including AI speaker series, hands-on workshops, and networking with enterprise AI leaders.
You will:
  • Develop and deploy AI-powered agents, working with LLMs, RAG, and enterprise automation workflows.
  • Gain hands-on experience in AI infrastructure, including LLMOps, MLOps, cloud deployment, and model optimization.
  • Work on full-stack AI applications, collaborating with engineers and PMs to build scalable AI-driven products.
  • Translate AI research into practical applications, integrating the latest advances in language models, embeddings, and retrieval techniques.
  • Work directly with Eloquent AI's leadership, learning from top AI engineers and product innovators.
Requirements
This program is open to postdocs, current or recently graduated PhDs, and MSc students in STEM fields with a strong interest in AI applications.
  • Current or completed PhD or MSc degree in Computer Science, Engineering, Mathematics, Physics, or a related field.
  • Strong mathematical foundation, particularly in statistics, linear algebra, and optimization techniques.
  • Programming experience, ideally in Python, with familiarity in ML frameworks like PyTorch and TensorFlow.
  • Interest in AI product development, data science, or machine learning engineering.
  • Ability to work in a fast-paced, collaborative AI-driven environment.

Bonus Points If...
  • You have experience with LLMs, NLP, or Retrieval-Augmented Generation (RAG).
  • You've contributed to open-source AI projects or published research in AI/ML conferences (NeurIPS, ICML, ICLR, NLP, SIGIR, etc.).
  • You have hands-on experience with LLMOps, MLOps, cloud-based AI infrastructure, or AI deployment at scale.
  • You have experience in AI strategy, product management, or business applications of AI.

Apply