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Ai In Usa Jobs (NOW HIRING)

Prointegrate LLC

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AI Engineer - Remote Anywhere in USA

OR · Remote

$60 - $120/hr

Comfortable working independently in a remote environment Nice to Have * Experience with large-scale or distributed systems * AI/ML experience or familiarity with modern AI systems * Experience with ...

New

Prointegrate LLC

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AI Engineer - Remote Anywhere in USA

OR · Remote

$60 - $120/hr

Comfortable working independently in a remote environment Nice to Have * Experience with large-scale or distributed systems * AI/ML experience or familiarity with modern AI systems * Experience with ...

New

Prointegrate LLC

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AI Engineer - Remote Anywhere in USA

OR · Remote

$60 - $120/hr

Comfortable working independently in a remote environment Nice to Have * Experience with large-scale or distributed systems * AI/ML experience or familiarity with modern AI systems * Experience with ...

New

Prointegrate LLC

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Transactional Attorney (Remote - Anywhere in USA)

OR · Remote

$90 - $130/hr

Transactional Attorney (Remote - Anywhere in USA) Job Type: Contractor Location: Remote Application ... This opportunity is for elite lawyers who want to help shape how advanced AI is trained, evaluated ...

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Prointegrate LLC

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Transactional Attorney (Remote - Anywhere in USA)

OR · Remote

$90 - $130/hr

Transactional Attorney (Remote - Anywhere in USA) Job Type: Contractor Location: Remote Application ... This opportunity is for elite lawyers who want to help shape how advanced AI is trained, evaluated ...

New

Prointegrate LLC

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Transactional Attorney (Remote - Anywhere in USA)

OR · Remote

$90 - $130/hr

Transactional Attorney (Remote - Anywhere in USA) Job Type: Contractor Location: Remote Application ... This opportunity is for elite lawyers who want to help shape how advanced AI is trained, evaluated ...

New

Prointegrate LLC

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MCP Expert (Remote Anywhere in USA)

OR · Remote

$60 - $120/hr

Job Title: MCP Expert (Remote Anywhere in USA) Job Type: Contractor (~15 hrs a week) Location ... No prior experience in AI is required -- your domain knowledge is what matters. As an expert you ...

New

Prointegrate LLC

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MCP Expert (Remote Anywhere in USA)

OR · Remote

$60 - $120/hr

Job Title: MCP Expert (Remote Anywhere in USA) Job Type: Contractor (~15 hrs a week) Location ... No prior experience in AI is required -- your domain knowledge is what matters. As an expert you ...

New

Prointegrate LLC

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MCP Expert (Remote Anywhere in USA)

OR · Remote

$60 - $120/hr

Job Title: MCP Expert (Remote Anywhere in USA) Job Type: Contractor (~15 hrs a week) Location ... No prior experience in AI is required -- your domain knowledge is what matters. As an expert you ...

New

ITbility

Data Engineer - AI

Sunnyvale, CA · On-site

$136K - $163K/yr

* Data Engineer - AI * Sunnyvale, California * Contract - 6 + Months We are looking for a hands-on ... working rights in USA. Only shortlisted candidates will be contacted for this role. To apply ...

STAFFWORXS

AI ARCHITECT

San Diego, CA · On-site

They are seeking an AI Architect with extensive experience in application architecture and AI ... Founded in 2019, the company is headquartered in Edison, USA, with a team of 51-200 employees. The ...

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How much do ai in usa jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for ai 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 difference between Ai In Usa vs Data Scientist in USA?

AspectAi In UsaData Scientist in USA
Required CredentialsBachelor's or higher in CS, AI, or related fields; certifications like TensorFlow or AWSBachelor's or higher in CS, Statistics, or related fields; certifications like SAS or Python
Work EnvironmentTech companies, startups, research labs; focus on AI model developmentVarious industries including finance, healthcare, tech; focus on data analysis and insights
Employer & Industry UsagePrimarily in AI-focused roles across tech and research sectorsAcross multiple industries, emphasizing data analysis and predictive modeling

While both roles require strong technical skills and similar educational backgrounds, Ai In Usa focuses specifically on developing artificial intelligence systems, whereas Data Scientist in USA emphasizes analyzing data to derive insights. Ai In Usa roles are more specialized in AI technologies, while Data Scientists work across diverse industries applying statistical and analytical methods.

Are AI jobs in demand?

AI jobs are in high demand due to rapid advancements in machine learning, data analysis, and automation technologies. Employers seek professionals with skills in programming, neural networks, and AI frameworks, leading to strong job growth in this field across various industries.

How to get an AI job?

To get an AI job, develop strong skills in programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and data analysis. Obtain relevant education or certifications, build a portfolio of projects, and gain experience through internships or research to improve your chances of securing an AI role.
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What cities are hiring for Ai In Usa jobs?

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What states have the most Ai In Usa jobs?

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What job categories do people searching Ai In Usa jobs look for?

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Ai In Usa jobs near you
Infographic showing various Ai In Usa job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $52,687 per year, or $25.3 per hour.

AI Engineer (Remote - Anywhere in USA)

Pro Integrate

New York, NY • On-site

Contractor

Posted 3 days ago

New

Job description

Job Description

Job Title: AI Engineer (Remote - Any where in USA)

Job Type: Contractor (~15 hrs a week)

Location: Remote

Schedule: Flexible, you pick the hours and days (including weekends if desired)

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

As an expert you will be creating Reinforcement Learning Environments which test an AI model’s ability to solve complex software engineering problems using Model Context Protocol (MCP) tools. Tasks may involve fixing bugs, implementing features, refactoring code, or optimizing performance while requiring agents to discover and reason over information from real MCP servers. You will design reproducible environments, deterministic verification, and golden reference solutions that accurately measure both MCP tool use and software engineering ability.

Required Skills and Qualifications:

  1. Proficiency in C++, Python, JAVA, GoLang, Typescript, or Rust.
  2. Deep understanding of algorithms, data structures, and performance tuning.
  3. Demonstrated experience in debugging complex software issues and delivering maintainable solutions.
  4. Strong background in feature development and codebase refactoring.
  5. Proven ability to optimize software for performance and scalability.
  6. Exceptional written and verbal communication skills, with a keen attention to detail.
  7. Track record of success in collaborative, cross-functional teams, ideally in remote settings.

Preferred Qualifications:

  1. Previous experience working on large-scale, distributed codebases.
  2. Familiarity with modern AI or machine learning systems is a plus, though not required.
  3. Background in participating in rigorous code reviews and contributing to the development of software best practices.

Process:

  1. Apply to the role, filling out the screening questions
  2. Complete AI Interview (approx. 30 minutes)
  3. Technical Assessment (Tentative)
  4. Hiring Manager review

Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.

Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.