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Ai Resident Jobs (NOW HIRING)

BG Staffing

Part-time Resident Manager

San Francisco, CA · On-site

$28 - $30/hr

Part-Time Resident Manager Location: San Francisco, CA Compensation: $28.00-$30.00 per hour ... BG Staffing uses artificial intelligence (AI) and other automated decision-support tools to assist ...

BG Staffing

Part-time Resident Manager

San Francisco, CA · On-site

$28 - $30/hr

Part-Time Resident Facilities Manager Location: San Francisco, CA Compensation: $29.00-$30.00 per ... BG Staffing uses artificial intelligence (AI) and other automated decision-support tools to assist ...

DaVita, Inc.

Redwoods Resident

Denver, CO · On-site

Strong analytical competencies, and the effective utilization of AI tools * Ability to analyze ... Salary Information Redwoods Resident: $140,000 - $160,000 Note: Starting pay will be commensurate ...

Progress Residential

Text "ProgressJobs" to 25000 to chat with Kate, our AI Recruiting Assistant. She can help you explore open roles, apply, and answer your questions in real time. Position Summary: The Resident ...

Arista Networks

Resident Engineer

Austin, TX

$98K - $125K/yr

... scale AI data centers. * The Arista Account Team: You will work hand-in-hand with our sales and ... What You'll Do As a Resident Engineer, you will serve as the technical contact for Arista ...

Progress Residential

Text "ProgressJobs" to 25000 to chat with Kate, our AI Recruiting Assistant. She can help you explore open roles, apply, and answer your questions in real time. Position Summary: The Resident ...

Trilon Group

Resident Engineer

Monroe, WI · On-site

$34 - $42/hr

Resident Engineer Department: Construction/CEI Employment Type: Full Time Location: Monroe, WI ... We may use AI-powered tools to support administrative aspects of recruiting, including sourcing ...

Arista Networks

Resident Engineer

Austin, TX · On-site

$98K - $125K/yr

... scale AI data centers. * The Arista Account Team: You will work hand-in-hand with our sales and ... What You'll Do As a Resident Engineer, you will serve as the technical contact for Arista ...

Weekday AI

Clinical AI Specialist

$130 - $300/hr

As a Clinical AI Specialist, you will contribute your medical expertise to design realistic ... Resident Physicians: Final year of residency (recent graduates must be board-eligible) * Fellows:

Aegis AI

AI Architect

New York, NY · On-site

$69 - $90.75/hr

Adversaries are using AI to craft customized, high-evasion attacks - and old-school rules-based ... You'll also be Aegis' resident expert model selection, customization and strategy. You should have ...

Thread AI

Applied AI Strategist

New York, NY · On-site

$145K - $200K/yr

Thread AI Thread AI is focused on building an AI-native workflow orchestration engine looking for ... S. lawful, permanent resident. This is a full-time, in-person position based at our New York City ...

Match Point Solutions

Resident Engineer

Pleasanton, CA · On-site

$60 - $65/hr

Resident Engineer Location : Basking Ridge, NJ- 2 days a week onsite Duration : 12 months Rate ... Data Science & AI : Experience or hands-on exposure to data science, machine learning, and ...

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How much do ai resident jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for ai resident in the United States is $18.02, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $19.47 per hour, depending on experience, location, and employer.

What is an AI resident?

AI Residents are early-career researchers or professionals who work at leading tech companies or research institutions to advance artificial intelligence through hands-on projects and collaboration with expert teams. These roles are typically designed as fixed-term positions, often lasting one to two years, and provide opportunities to gain practical experience in areas such as machine learning, deep learning, and computer vision. AI Residents contribute to cutting-edge research, publish papers, and sometimes help bridge the gap between academia and industry. The position is ideal for those seeking to build a strong foundation for a future career in AI research or development.

What types of projects do AI residents typically work on, and how do these projects contribute to their professional development?

AI Residents often engage in cutting-edge research projects, such as developing new machine learning algorithms or applying AI to solve real-world problems in fields like healthcare, robotics, or natural language processing. These projects are usually team-based, allowing residents to collaborate closely with senior researchers, engineers, and product teams. This hands-on experience not only deepens technical expertise but also builds a strong foundation for future roles in research or industry. The exposure to interdisciplinary problems and the mentorship provided throughout the residency are key drivers of professional growth.

What are the key skills and qualifications needed to thrive as an AI resident, and why are they important?

To thrive as an AI Resident, you typically need a strong background in computer science, mathematics, and machine learning, often supported by a master's or PhD in a related field. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), programming languages like Python, and experience with large-scale data systems are commonly required. Strong problem-solving abilities, collaboration skills, and effective communication help you stand out in multidisciplinary research environments. These skills and qualities are crucial for driving innovative AI research, effectively sharing findings, and contributing to impactful projects.
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Ai Resident jobs near you
Infographic showing various Ai Resident 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 $37,477 per year, or $18 per hour.

Internal Medicine AI Evaluation Specialist

Weekday AI

Remote

$130 - $180/hr

Part-time

Re-posted 10 days ago

Job description

This role is for one of our clients
Compensation: $130-$180 per hour
Join a leading AI research initiative focused on advancing healthcare-focused artificial intelligence. We are seeking experienced Internal Medicine physicians to contribute their clinical expertise toward training and evaluating next-generation AI models capable of sophisticated medical reasoning.
In this role, you will develop realistic clinical scenarios, evaluate AI-generated responses against evidence-based standards, and help improve how AI systems reason about diagnosis, treatment planning, and patient management within Internal Medicine.
We welcome Internal Medicine attending physicians, hospitalists, fellows, final-year residents, and other qualified Internal Medicine professionals who are passionate about applying their expertise to the future of healthcare AI.
Requirements
Key Responsibilities
Design Clinical Scenarios
  • Create realistic Internal Medicine case studies based on everyday clinical practice.
  • Develop prompts covering:
    • Diagnostic reasoning
    • Differential diagnosis
    • Treatment planning
    • Risk stratification
    • Evidence-based guideline adherence
    • Long-term patient management
Create Reference-Quality Responses
  • Produce attending physician-level reference solutions that reflect current clinical best practices.
  • Ensure recommendations align with established evidence-based guidelines.
Evaluate AI Performance
  • Review and assess AI-generated clinical responses using structured evaluation frameworks.
  • Identify reasoning gaps, inaccuracies, omissions, and opportunities for improvement.
  • Provide detailed written feedback to improve AI model performance and clinical reliability.
Collaborate with Clinical Teams
  • Participate in onboarding sessions and specialty calibration meetings.
  • Work with multidisciplinary teams to ensure consistency, accuracy, and quality across medical evaluations.

Required Qualifications
Applicants should meet one of the following criteria:
Attending Physicians
  • Board-certified in Internal Medicine.
  • Current, active, and unrestricted medical license.
Resident Physicians
  • Final-year Internal Medicine resident.
  • Recent residency graduates must be board-eligible.
Fellows
  • Board-certified or board-eligible in Internal Medicine or a related subspecialty.
  • Current, active, and unrestricted medical license.

Professionals with expertise in Internal Medicine subspecialties are encouraged to apply, including:
  • Cardiology
  • Hematology & Oncology
  • Endocrinology
  • Nephrology
  • Gastroenterology
  • Pulmonology
  • Other Internal Medicine subspecialties

Preferred Qualifications
  • Strong knowledge of evidence-based medicine and clinical practice guidelines.
  • Experience in clinical teaching, medical research, or quality improvement initiatives.
  • Excellent written communication and analytical skills.
  • Interest in artificial intelligence, clinical decision support, or healthcare technology.

Engagement Details
  • Fully remote with 100% asynchronous work.
  • Standard commitment of approximately 20 hours per week, with opportunities for additional hours based on project demand.
  • Flexible working schedule.
  • Weekly payments.
  • Rolling onboarding with ongoing engagement opportunities.
  • Compensation is determined by clinical experience, expertise, and seniority.

Why Join
  • Help shape the future of AI-powered clinical decision-making.
  • Apply your Internal Medicine expertise to improve advanced healthcare AI systems.
  • Collaborate with leading AI researchers and experienced clinicians.
  • Contribute to high-impact projects that advance safe, accurate, and evidence-based medical AI.

Equal Opportunity Statement
All qualified applicants will be considered without regard to legally protected characteristics. Reasonable accommodations are available upon request.
Contract Information
  • Independent contractor engagement.
  • Fully remote work completed on your own schedule.
  • Projects may be extended, modified, or concluded based on business needs and individual performance.
  • Work does not involve access to confidential or proprietary information from any employer, client, or institution.
  • Weekly payments are processed through supported payment platforms based on approved work completed.
  • Please note that visa sponsorship is not available for this opportunity.

Apply