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Ai In Jobs (NOW HIRING)

STAFFWORXS

AI ARCHITECT

San Diego, CA · On-site

They are seeking an AI Architect with extensive experience in application architecture and AI integration to lead the design and implementation of AI solutions across product development life cycles.

The Pennsylvania State University

The projects will be studying AI in the context of learning and use, rather than focusing solely on technical model development. The position is grounded in a learning sciences perspective ...

Tata Consultancy Services

GEN AI Developer

Cincinnati, OH · On-site

$49.75 - $64.50/hr

The role involves developing applications using Generative AI and requires strong core development skills in Java, Spring Boot, and cloud technologies. Responsibilities : • GenAI Application ...

Leland

AI Product Development Coach

$117K - $146K/yr

Leland is building the home for ambition in the age of AI. We connect people with the experts, programs, and communities they need to land the job, get into the school, or upskill for a world being ...

Leland

AI for Finance Coach

Leland is building the home for ambition in the age of AI. We connect people with the experts, programs, and communities they need to land the job, get into the school, or upskill for a world being ...

LiteLLM AI Gateway

AI Engineer

San Francisco, CA · On-site

$200K - $250K/yr

Strong work ethic and ability to thrive in small teams * Eagerness to talk to users and help solve ... Help define the future of AI infrastructure and developer tooling. * Competitive salary, equity ...

GXO Logistics

Director, Data Science and AI/ML

NC · Remote

Maintains up-to-date records of AI in warehouse automation. Develops awareness of current AI service delivery models. Identifies future AI use case opportunities for warehouse automation. Partners ...

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How much do ai in jobs pay per year?

As of Aug 17, 2026, the average yearly pay for ai in in the United States is $212,979.00, according to ZipRecruiter salary data. Most workers in this role earn between $185,000.00 and $238,500.00 per year, depending on experience, location, and employer.

What is the difference between Ai In vs Data Analyst?

AspectAi InData Analyst
Required CredentialsTypically a degree in AI, computer science, or related field; certifications in AI or machine learningDegree in statistics, mathematics, or related field; certifications in data analysis or visualization
Work EnvironmentTech companies, AI research labs, startups; focus on developing AI modelsBusiness, finance, healthcare sectors; analyze data to inform decisions
Employer & Industry UsagePrimarily in tech and AI-focused industriesAcross various industries including finance, healthcare, marketing

While both roles involve working with data, Ai In focuses on developing and implementing AI models, whereas Data Analysts interpret data to support business decisions. Ai In roles require specialized knowledge in AI and machine learning, while Data Analysts focus on data visualization and statistical analysis.

What cities are hiring for Ai In jobs?

Cities with the most Ai In job openings:

What states have the most Ai In jobs?

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Ai In jobs near you
Infographic showing various Ai In 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 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $212,979 per year, or $102.4 per hour.

Adjunct Instructor in Generative AI in Clinical Decision Support

Brandeis University

Brandeis, CA

$6.5K/mo

Part-time

Re-posted 9 days ago

Job description

Brandeis University's Online Health Informatics Program is seeking an Adjunct Faculty member for RHIN 175 Generative AI in Clinical Decision Support for the Fall-2 2026 session. This 3-credit asynchronous online course is an 8-week requirement for the Master of Science in Health Informatics.

This course includes an examination of Large Language Models (LLMs) and generative artificial intelligence (AI) for clinical support: pilot design, prompt engineering, validation, safety, monitoring, and regulatory considerations. The course will also teach students how to assess deployment and impacts of AI in clinical workflows.

Core Course Responsibilities Summary

  • Course Logistics and Facilitation: Focuses on the organized and timely rollout of course content, maintaining consistent communication through weekly announcements, and ensuring all instructional activities occur within university-approved digital platforms.

  • Instructor Presence and Engagement: Centers on building an active teaching persona by hosting live introductory sessions, facilitating weekly academic discourse in forums, and maintaining regular availability for student consultation.

  • Individual Feedback and Grading: Emphasizes the professional obligation to provide transparent, rubric-based evaluations and supportive commentary on student work within a standardized weekly timeframe.

  • Professional Conduct and Standards: Requires adherence to university communication protocols, the promotion of respectful online "netiquette," and ensuring the course meets accessibility and technical visibility standards before and during the term.

Qualifications:

  • Required:

    • Advanced degree (Master's or Ph.D.) in Computer Science, Health Informatics, Data Science, Engineering, or a related field

    • Strong knowledge of AI fundamentals and its application to healthcare in addition to a strong grasp of the ethical implications of its usage

    • Minimum of 3 years of professional experience in developing and deploying real-world AI solutions

    • Proficiency in a programming language (e.g. Python, R)

    • At least 1 year of teaching or training experience (preferably online/asynchronous)

    • Experience with online instruction

    • Excellent communication and teaching skills in an online learning environment.

  • Preferred:

    • Prior online teaching experience at the graduate level

    • Knowledge of global learner personas and culturally responsive pedagogy

    • Familiarity with Moodle LMS and digital authoring tools (e.g., H5P)

Interested candidates should submit:

A cover letter highlighting relevant qualifications and teaching experience.

A current CV or resume.

Contact information for three professional references.

Application review begins June 1, 2026 though we will continue to accept submissions on an ongoing basis.

This appointment is to a position that is in a collective bargaining unit represented by SEIU Local 509.

Compensation for this positon is: $6573.15

Pay Range Disclosure

The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.

Equal Opportunity Statement

Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").

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