1

Per Diem Applied Ai Jobs (NOW HIRING)

Applied AI Engineer

San Francisco, CA · On-site

$165K - $220K/yr

Reporting to the Director, Applied AI, you will work on practical, high-impact problems such as ... This is a full-time hybrid opportunity based in San Francisco, California, with four days per week ...

Applied AI Researcher

Jersey City, NJ · On-site

$104K - $182K/yr

Applied AI Researcher GenAI / NLP / Agentic AI / Applied Machine Learning Bridge advanced AI ... The starting pay range for this role is $104,904 - $182,125 per year. Actual compensation will ...

Applied AI Researcher

Jersey City, NJ · On-site

$104K - $182K/yr

Applied AI Researcher GenAI / NLP / Agentic AI / Applied Machine Learning Bridge advanced AI ... The starting pay range for this role is $104,904 - $182,125 per year. Actual compensation will ...

Applied AI Lead

New York, NY · Remote

$200K - $225K/yr

Powering campaigns for over 30,000 small and medium businesses per day, Madhive is driving the evolution of local media. Applied AI Lead Reporting to the Chief Innovation Officer, the Applied AI Lead ...

Tech Lead, Applied AI

San Francisco, CA · On-site

$230K - $290K/yr

This is a full-time hybrid role based in San Francisco, with four days per week in person. What You'll Do * Own the technical strategy and roadmap for a major Applied AI domain. * Translate ambiguous ...

Applied AI Lead

New York, NY · On-site

$200K - $225K/yr

Powering campaigns for over 30,000 small and medium businesses per day, Madhive is driving the evolution of local media. Applied AI Lead Reporting to the Chief Innovation Officer, the Applied AI Lead ...

$170 - $230/hr

We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.IN THIS ROLE, YOU WILL:- Lead, mentor, and grow a team of Applied AI Engineers supporting ...

The Executive Director, Applied AI Lead Novartis is making a significant long-term investment in ... per year. The final salary offered is determined based on factors like, but not limited to ...

The Executive Director, Applied AI Lead Novartis is making a significant long-term investment in ... per year. The final salary offered is determined based on factors like, but not limited to ...

next page

Showing results 1-20

Per Diem Applied Ai information

See salary details

$10

$26

$35

How much do per diem applied ai jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for per diem applied ai in the United States is $26.37, according to ZipRecruiter salary data. Most workers in this role earn between $22.60 and $30.53 per hour, depending on experience, location, and employer.

What is a per diem applied AI?

Per Diem Applied AI jobs are positions in which artificial intelligence professionals work on a temporary, as-needed basis rather than as full-time employees. These roles often involve applying AI techniques to solve specific business problems, such as data analysis, machine learning model development, or process automation. The 'per diem' aspect means that professionals are paid by the day or project, offering flexibility for both the worker and employer. These roles are common in consulting, healthcare, tech startups, and organizations that require specialized AI skills for limited projects.

What skills and qualifications are needed to thrive as a per diem applied AI?

To thrive as a Per Diem Applied AI specialist, you need a strong background in computer science, machine learning, and data analysis, often supported by a relevant degree or equivalent experience. Familiarity with programming languages such as Python or R, machine learning frameworks like TensorFlow or PyTorch, and tools for data manipulation is typically expected. Strong problem-solving skills, adaptability, and effective communication help you quickly integrate into teams and deliver solutions on a flexible, project-based schedule. These capabilities ensure you can rapidly contribute valuable AI-driven insights and adapt to diverse project needs in dynamic environments.

How does the schedule and workload typically vary for a per diem applied AI, and what challenges might arise?

Per Diem Applied AI professionals often work on a flexible, as-needed basis, which means their schedule and workload can fluctuate significantly depending on project demands. This arrangement offers the advantage of autonomy and variety, but it can also present challenges such as inconsistent hours and the need to quickly adapt to new teams or domains. Successful Per Diem AI specialists are typically comfortable with ambiguity, able to manage their time efficiently, and skilled at quickly integrating into existing workflows. They often collaborate with project managers, data scientists, and engineers to deliver targeted AI solutions within tight timelines.

What is the difference between Per Diem Applied Ai vs Per Diem Nurse?

AspectPer Diem Applied AiPer Diem Nurse
CredentialsTypically no specific healthcare credentials requiredLicensed Registered Nurse (RN) or Licensed Practical Nurse (LPN)
Work EnvironmentTechnology-focused, remote or office-basedHospitals, clinics, healthcare facilities
Employer & IndustryTech companies, healthcare tech firmsHospitals, healthcare providers
Common Search & UsageAI, healthcare technology, data analysisPatient care, clinical settings

Per Diem Applied Ai roles focus on healthcare technology and data analysis, often requiring minimal healthcare credentials. In contrast, Per Diem Nurse positions involve direct patient care in clinical environments and require nursing licenses. Both roles are per diem, but they serve different functions within the healthcare industry.

More about Per Diem Applied Ai jobs

What cities are hiring for Per Diem Applied Ai jobs?

Cities with the most Per Diem Applied Ai job openings:

What are the most commonly searched types of Applied Ai jobs?

The most popular types of Applied Ai jobs are:

What states have the most Per Diem Applied Ai jobs?

States with the most job openings for Per Diem Applied Ai jobs include:

Infographic showing various Per Diem Applied Ai 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 $54,852 per year, or $26.4 per hour.

Applied AI Engineer

Abby Care

San Francisco, CA • On-site

$165K - $220K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago


Job description

About Abby Care: Powering the future of care at home for all of America.
Abby Care is building the leading AI-native platform for family-led care. America is facing a growing care crisis. Millions more people need care at home than ever. Over 50 million family caregivers support loved ones without the tools, training, or recognition they deserve.
We believe families are the largest untapped caregiving workforce in America, and that technology can help them deliver better care while driving stronger outcomes and greater transparency across the healthcare system.
Abby Care combines clinical oversight with an AI-powered platform to train, enable, and support family caregivers in delivering high-quality care at home. Our platform helps health plans and government partners better understand, verify, and improve care in the home. We expand access to care, reduce reliance on higher-cost settings, and help ensure public dollars are spent effectively.
We are proud to partner with leading health plans, providers, and community organizations and are backed by top VCs. We envision a future where family-led care is a core part of the healthcare system. Abby Care is building that future.
Join us in solving one of the most important challenges of our time.
The Opportunity
Abby Care is building an AI-native operating system for home care-one that manages the full lifecycle from caregiver and patient intake through care delivery, billing, and compliance.
As we expand our capacity to support more family caregivers at scale, we're looking for an Applied AI Engineer to build AI-powered products and workflow automation that help caregivers, clinicians, and operational teams deliver better care.
Reporting to the Director, Applied AI, you will work on practical, high-impact problems such as collecting and interpreting clinical documents, automating intake and prior authorization work, assisting caregivers and nurses, detecting operational or billing risks, and routing exceptions to the right person.
You will contribute across the development lifecycle: understanding the underlying workflow, prototyping solutions, preparing datasets, building evaluations, implementing production systems, and learning from real-world usage.
Curious and highly resourceful, you are excited by both emerging AI capabilities and rigorous software engineering. You want to move beyond demos and build systems that are reliable, observable, and useful in consequential workflows. If you are excited to grow as an Applied AI engineer while helping transform how care is delivered in the home, we'd love to hear from you!
This is a full-time hybrid opportunity based in San Francisco, California, with four days per week in person.
What you'll work on:
Build AI-powered products and automation: Develop agents, copilots, and intelligent workflows that help caregivers, clinicians, and operational teams deliver better care at scale.
Develop production systems: Build the backend services, APIs, data pipelines, integrations, and reusable AI components required to move solutions from prototype to reliable production use.
Work with complex healthcare information: Create systems that extract, retrieve, and reason over clinical documents, conversations, operational records, and other structured and unstructured data.
Evaluate and improve system quality: Build representative datasets, measure performance, analyze failures, and improve models, prompts, retrieval, tools, and workflow logic based on evidence.
Learn directly from users and operations: Partner with Product, Design, Clinical, and Operations to understand real workflows, identify edge cases, and rapidly iterate based on production feedback.
Contribute to strong engineering foundations: Write maintainable, well-tested code and help build shared capabilities for orchestration, tool use, structured outputs, monitoring, tracing, and evaluation.
What success looks like:
  • You consistently ship AI-powered capabilities that solve real problems for caregivers, clinicians, and operational teams.
  • Your work progresses from prototype to reliable production functionality rather than stopping at demonstration-stage experiments.
  • The systems you build are supported by clear evaluations, monitoring, and documented limitations.
  • You use production feedback and error analysis to improve system quality over time.
  • You collaborate effectively with product engineers, domain experts, and operational users.
  • You develop reusable components that accelerate future Applied AI work.
  • You grow your ability to independently own increasingly complex projects and technical decisions.
  • You build a strong understanding of when to use AI, deterministic software, or human review to produce the best outcome.
What you'll have:
  • 2+ years of professional software engineering, machine learning, or Applied AI experience, or equivalent demonstrated ability.
  • Strong programming skills and software engineering fundamentals.
  • Experience building applications using language models, machine-learning models, or modern AI APIs.
  • Familiarity with backend development, APIs, data processing, testing, and production software systems.
  • Ability to structure ambiguous problems, test assumptions, and iterate based on evidence.
  • Interest in building evaluations and understanding why AI systems succeed or fail.
  • Strong ownership, curiosity, and willingness to engage directly with users and operational workflows.
  • Clear written and verbal communication skills.
  • Must reside in or be willing to permanently relocate to the San Francisco Bay Area.
  • Experience with Python, agent architectures, retrieval-augmented generation, document intelligence, multimodal models, structured generation, model evaluation, monitoring, or prompt optimization is preferred but not required.
  • Experience in healthcare, fintech, insurance, another regulated environment, a startup, or an operations-intensive business is preferred but not required.
Benefits:
  • Competitive compensation packages that reflect the value you bring. We reward our team for the impact of their work.
  • Comprehensive health coverage that works for you. Choose from high-quality medical dental and vision options, including a $0 deductible PPO and a company-funded HSA, alongside employer-paid life and disability insurance.
  • Generous paid time off. We provide policies that allow you to recharge along with 10 paid company holidays.
  • Financial savings benefits to support your future. We support your financial well-being with HSA contributions, optional FSA and commuter benefits, and full coverage of all 401(k) account fees (employer match not currently offered).
  • Paid parental leave to support your growing family. We provide paid leave, so you can focus on bonding and adjusting to life as your family grows.

Our Values
  1. Families FirstRedefining healthcare starts with how we treat the parents and children we serve. We go above and beyond for every family, building strong, lasting relationships. We continually ask ourselves, "Would we want this for our own families?"
  2. Urgency with PrecisionMillions of families are waiting for care, and they cannot wait, therefore this is not your typical 9 to 5 job. We match their urgency with our own, delivering exceptional care without compromise. Here, speed and excellence go hand in hand.
  3. Relentlessly ResourcefulAs an ambitious startup, we adapt quickly and make the most of limited time and resources. We solve challenges with creativity to deliver results without unnecessary complexity.
  4. Purpose with PositivityWe take our mission seriously while never losing sight of the people behind the work. Respect, kindness, memes, and coffee make us stronger as a team and better for the families we serve.
  5. Driven to Redefine What's PossibleWe are here to make healthcare better, which means asking hard questions, challenging outdated systems, and finding smarter, more compassionate ways to deliver care.

Automated Decision Tools
Abby Care may use automated decision tools to help match and rank candidate work experience, education and skills found in online profiles, resumes and job applications against job requirements. We believe that these tools help ensure objective, data-based decisions during the hiring process, however, all Abby Care hiring decisions involve final human review and input. If you have questions or would like to request an alternative process, contact talent@abbycare.org.