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Ai 500K Jobs (NOW HIRING)

AI Engineer

New York, NY · On-site

$350K - $500K/yr

... 500K • Competitive equity • Direct ownership of a core consumer AI product surface • Visa transfers, including OPT or H-1B transfers, may be considered case by case • Hybrid in New York City ...

Join the team revolutionizing AI computing at Tenstorrent. In this role you will lead development ... Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable ...

Account Executive

Nashville, TN · On-site

$500K - $750K/yr

... ai traditional television, digital, and programmatic offerings. This role requires strong ... The position carries an annual revenue quota of $500k-$750k . Essential Functions * Manage multiple ...

Account Executive

Omaha, NE · On-site

$500K - $750K/yr

... ai traditional television, digital, and programmatic offerings. This role requires strong ... The position carries an annual revenue quota of $500k-$750k . Essential Functions * Manage multiple ...

Account Executive

Charlotte, NC · On-site

$500K - $750K/yr

... ai traditional television, digital, and programmatic offerings. This role requires strong ... The position carries an annual revenue quota of $500k-$750k . Essential Functions * Manage multiple ...

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Ai 500K information

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$62.5K

$99.2K

$136.5K

How much do ai 500k jobs pay per year?

As of Sep 5, 2026, the average yearly pay for ai 500k in the United States is $99,190.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,500.00 and $116,000.00 per year, depending on experience, location, and employer.

What is an AI 500K professional?

An AI 500K professional typically refers to an expert or specialist in the field of artificial intelligence (AI) with significant experience and a high level of compensation, often around $500,000 annually. These professionals usually have advanced degrees in AI, computer science, or related fields, and possess deep expertise in areas such as machine learning, natural language processing, or computer vision. They are often employed by leading technology companies, research institutions, or startups to lead AI initiatives, design advanced algorithms, and drive innovation.

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

To thrive as an AI Engineer, you need strong programming skills (often in Python), a solid foundation in mathematics and statistics, and typically a degree in computer science, engineering, or a related field. Experience with machine learning frameworks like TensorFlow or PyTorch, and familiarity with data processing tools and cloud platforms, are commonly required; certifications in AI or ML can be beneficial. Critical thinking, problem-solving abilities, and effective communication set exceptional AI Engineers apart. These skills and qualities are crucial for developing innovative AI solutions that solve complex problems and drive business value.

What are some common challenges faced by AI product managers when launching new AI-driven features?

AI Product Managers often encounter challenges such as aligning cross-functional teams (data scientists, engineers, designers, and stakeholders) on project goals, managing expectations around AI capabilities, and ensuring high-quality data for model training. Balancing rapid innovation with ethical and regulatory considerations can also pose difficulties. Frequent communication and iteration are vital to address these hurdles and deliver impactful AI solutions.

What is the difference between Ai 500K vs Data Analyst?

AspectAi 500KData Analyst
Required CredentialsTypically requires AI/machine learning certifications, advanced degrees in computer science or related fieldsBachelor's degree in statistics, mathematics, or related field; certifications like CAP or Microsoft Data Analyst
Work EnvironmentTech companies, AI development firms, research labsBusiness, finance, healthcare, and other industries across various organizations
Employer & Industry UsagePrimarily in AI-focused roles within tech and research sectorsAcross industries for data interpretation, reporting, and decision-making

The Ai 500K and Data Analyst roles share some overlap in data handling skills but differ significantly in specialization. Ai 500K typically involves advanced AI and machine learning expertise, often requiring specialized certifications and working in tech-focused environments. Data Analysts focus on interpreting data to inform business decisions across various industries, with a broader range of entry-level credentials.

What are the highest paid AI jobs?

High-paying AI jobs include roles such as AI Research Scientist, Machine Learning Engineer, and Data Scientist, often requiring advanced degrees and expertise in deep learning, neural networks, and programming languages like Python. Salaries for these positions can exceed $150,000 annually, especially with experience, specialized skills, and working in tech hubs or large organizations.
More about Ai 500K jobs

What cities are hiring for Ai 500K jobs?

Cities with the most Ai 500K job openings:

What states have the most Ai 500K jobs?

States with the most job openings for Ai 500K jobs include:

Infographic showing various Ai 500K job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $99,190 per year, or $47.7 per hour.

$500K Salary, No Call, Bonus by 2pm

Clinical Strategy Partners

Las Vegas, NV • On-site

Other

PTO

Re-posted 5 days ago


Job description

Most radiology jobs pay well. Few are built to be sustainable over the long term.
  • Outpatient-only imaging center - no overnight call
  • Hybrid / remote flexibility built into the schedule
  • $500K–$600K base + production bonus + partner income
  • Partners start bonusing by 2pm - proven earnings range from $800K - $1.1M
  • 8–10 weeks PTO
  • 28-partner, physician-owned group with no buy-in
  • AI-enabled workflow + full internal support (no admin drag)
  • Structured workload with internal point system (not chaos volume)
  • Up to 75% specialty focus available (breast, neuro, pediatric, oncology PET/CT, MSK)

No hospital interruptions. No unnecessary friction. Just efficient reads and control over your day.