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Ai Salary In Usa Jobs (NOW HIRING)

In this fully remote role, you will be the named technical resource for a portfolio of mid-market ... salaries for the position across all US locations. Within the range, individual pay is based on ...

Senior Data Engineer

Los Angeles, CA ยท On-site

$109K - $243K/yr

Los Angeles, CA, USA Onsite or Remote Flexible Hybrid Work Schedule Monday-Friday, 8:00 am - 5:00 ... in the country. Join us and help shape the future of healthcare data, analytics, and AI. Salary ...

Must be authorized to work in USA. Job Summary: The AI Platform Engineer II supports the design, development, and delivery of AI solutions, focusing on either AI infrastructure (LLM platform, backend ...

AI / ML exposure (20-30%) * Ex-Apple preferred Core Skills * Snowflake, SQL, Tableau, DBT, AWS ... working rights in USA. Only shortlisted candidates will be contacted for this role. To apply ...

Software Engineer

Oak Brook, IL ยท On-site

$90K - $120K/yr

Jorie AI, occupies a uniquely interconnected position at the center of the healthcare industry. An ... Remote in USA Only. We cannot consider candidates from New York, California, or Washington state ...

Jorie AI, occupies a uniquely interconnected position at the center of the healthcare industry. An ... Remote in USA Only. We cannot consider candidates from New York, California, or Washington state ...

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How much do ai salary in usa jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for ai salary in usa in the United States is $25.33, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $31.97 per hour, depending on experience, location, and employer.

What is the average salary for AI professionals in the USA?

The average salary for AI professionals in the USA varies depending on experience, education, and job role. Entry-level positions such as AI engineers or data scientists typically earn between $90,000 and $120,000 per year, while more experienced professionals or those in senior roles can make $150,000 to $200,000 or more. Salaries can also vary by industry and location, with tech hubs like San Francisco and New York offering higher compensation. Specialized roles in machine learning, deep learning, or AI research may command even higher salaries.

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 (particularly in Python or Java), a solid background in mathematics and statistics, and typically at least a bachelor's degree in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), experience with data management tools, and relevant certifications such as TensorFlow Developer Certificate are highly valuable. Strong problem-solving skills, creativity, and effective communication help you design innovative solutions and collaborate with cross-functional teams. These capabilities are crucial for developing scalable AI systems that deliver measurable business value.

What are some common challenges AI professionals face when working in cross-functional teams in the USA?

AI professionals in the USA often collaborate with diverse teams, including product managers, data engineers, and business stakeholders. One common challenge is effectively communicating complex technical concepts to non-technical team members, ensuring everyone is aligned on project goals and expectations. Additionally, integrating AI models into existing business processes and navigating varying priorities can require strong problem-solving and interpersonal skills. Proactive communication and a willingness to educate others can help overcome these challenges and lead to successful project outcomes.

Which AI salary in USA is high paying?

High-paying AI roles in the USA typically include AI Research Scientist, Machine Learning Engineer, and Data Scientist, with salaries often exceeding $120,000 annually and reaching over $200,000 for senior or specialized positions. Factors such as advanced skills in deep learning, natural language processing, and experience with tools like TensorFlow or PyTorch contribute to higher compensation.
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Infographic showing various Ai Salary In Usa 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 $52,687 per year, or $25.3 per hour.

Software Engineer, Data Infrastructure & Acquisition - Bloomington, IN, USA

Speechify

Bloomington, IN โ€ข On-site

$105K - $127K/yr

Full-time

Re-posted 16 days ago


Job description

The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.
What You'll Do
  • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
  • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
  • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
  • Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.

An Ideal Candidate Should Have
  • BS/MS/PhD in Computer Science or a related field.
  • 5+ years of industry experience in software development.
  • Proficiency with bash/Python scripting in Linux environments
  • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
  • Experience with web crawlers, large-scale data processing workflows is a plus
  • Ability to handle multiple tasks and adapt to changing priorities.
  • Strong communication skills, both written and verbal.

What we offer
  • A fast-growing environment where you can help shape the company and product.
  • An entrepreneurial-minded team that supports risk, intuition, and hustle.
  • A hands-off management approach so you can focus and do your best work.
  • An opportunity to make a big impact in a transformative industry.
  • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
  • Opportunity to work on a life-changing product that millions of people use.
  • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
  • Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience
Think you're a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don't forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.