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Ai Associate Jobs in Georgia (NOW HIRING)

KPMG

Senior Associate, AI Engineer

Atlanta, GA · On-site

$53.25 - $68.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

KPMG is currently seeking a Senior Associate, AI Engineer to join our Advisory Services practice. Responsibilities: * Develop GenAI / LLM applications and integrations using foundational models under ...

Deloitte

AI Datacenter Associate VP

Atlanta, GA · Hybrid

AI Datacenter & Infrastructure Associate VP Join our AI & Engineering team and help transform technology platforms, drive innovation, and make a significant impact on our clients' success. You'll ...

Deloitte

AI Datacenter Associate VP

Atlanta, GA · On-site

AI Datacenter & Infrastructure Associate VP Join our AI & Engineering team and help transform technology platforms, drive innovation, and make a significant impact on our clients' success. You'll ...

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Showing results 21-40

All JobsAi Associate JobsAi Associate Jobs in Georgia

Ai Associate information

See Georgia salary details

$38.8K

$91.3K

$145.7K

How much do ai associate jobs pay per year?

As of Aug 17, 2026, the average yearly pay for ai associate in Georgia is $91,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,600.00 and $109,800.00 per year, depending on experience, location, and employer.

What is an AI associate?

AI Associates are professionals who support the development, implementation, and optimization of artificial intelligence systems within organizations. Their responsibilities can include data analysis, model training, quality assurance, and assisting in the integration of AI solutions into business processes. AI Associates often work closely with data scientists, engineers, and business teams to ensure that AI projects meet organizational needs and deliver value. This role typically requires a foundational understanding of machine learning concepts, programming skills, and the ability to interpret and communicate technical findings to non-technical stakeholders.

What does an AI associate do?

As an AI Associate, your daily tasks often include data preparation, model training, and conducting preliminary analyses to support larger AI initiatives. You will collaborate closely with data scientists, engineers, and project managers, frequently participating in team meetings to discuss progress and troubleshoot challenges. AI Associates play a vital role in ensuring data quality and supporting the deployment of machine learning models, which directly impacts the success of the team's projects. The position offers a dynamic environment where you learn best practices and gain hands-on experience with modern AI tools, setting a strong foundation for career advancement in the field.

What are the key skills and qualifications needed to thrive as an AI associate?

To excel as an AI Associate, you typically need a strong background in computer science, mathematics, and data analysis, often supported by a relevant degree or coursework. Familiarity with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and experience with data visualization tools are highly valued. Strong problem-solving abilities, communication skills, and a collaborative mindset help AI Associates work effectively in multidisciplinary teams. These capabilities ensure the development of robust AI solutions and foster innovation in rapidly evolving environments.

What is the difference between Ai Associate vs Data Analyst?

AspectAi AssociateData Analyst
Required CredentialsBachelor's in Computer Science, Data Science, or related fields; familiarity with AI toolsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis software
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsageAI development teams, tech firmsBusiness intelligence, data-driven decision making
Common Search & Comparison IntentUnderstanding roles in AI developmentAnalyzing data to inform business strategies

While both roles involve working with data, an Ai Associate primarily focuses on developing and implementing AI models and algorithms, often requiring knowledge of machine learning and programming. A Data Analyst concentrates on interpreting data, creating reports, and providing insights to support business decisions. The roles overlap in data handling but differ in technical focus and application areas.

What are the most commonly searched types of Ai jobs in Georgia?

The most popular types of Ai jobs in Georgia are:

What are popular job titles related to Ai Associate jobs in Georgia?

For Ai Associate jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Ai Associate jobs in Georgia look for?

The top searched job categories for Ai Associate jobs in Georgia are:

What cities in Georgia are hiring for Ai Associate jobs?

Cities in Georgia with the most Ai Associate job openings:

Ai Associate jobs near you
Infographic showing various Ai Associate job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 63% Full Time, 26% Part Time, 1% Temporary, 6% Contract, and 3% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $91,328 per year, or $43.9 per hour.

Principal Physics Consultant - AI Training

micro1 AI

Augusta, GA • Remote

$80 - $160/hr

Part-time

Posted 15 days ago

Job description

Role Title: Physics Expert (Professor / Principal Investigator)


Role Type: Contractor.


Location: Remote


micro1 is engaging Physics Experts—established Professors or Principal Investigators—to provide high-level domain guidance as part of an impactful project for a customer. 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.


Scope of Work

  1. Adjudicate and render expert judgment on contested or competing physics arguments, solutions, or interpretations within your subfield.
  2. Compare alternative approaches to the same problem, detailing which is superior, under what assumptions, and in which regimes.
  3. Identify and articulate meta-level criteria for evaluating the robustness and validity of competing physics work, such as key assumptions and breaking points of approximations.
  4. Exercise calibrated confidence by providing authoritative assessments while transparently acknowledging genuine uncertainty or open questions in the field.
  5. Draft defensible written evaluations suitable for review by fellow senior physicists, ensuring clarity and rigor.
  6. Leverage technical tools such as LaTeX, SymPy, Python, and Jupyter to verify or contrast technical claims as needed.
  7. Clearly communicate when a question is unresolved within the field and delineate the pertinent considerations.


Preferred Qualifications

  1. PhD in physics with demonstrated expertise and scholarly impact in your specified subfield.
  2. Current or former Associate Professor, Full Professor, Chair Professor, or Principal Investigator/Group Leader with a track record of independent research leadership.
  3. Ongoing research activity in one or more of these areas: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation, Cosmology, Astrophysics, Quantum Information, or Optical Properties of Materials.
  4. 3–5 recent representative publications in your target subfield, with arXiv or DOI references.
  5. Prior experience supervising PhD students or postdocs, or equivalent leadership in industry research settings.
  6. Proficiency with LaTeX, SymPy, Python, and Jupyter (please indicate any gaps in experience with these tools).
  7. Exceptional written communication skills, with the ability to articulate nuanced and well-reasoned judgments.

Apply