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Remote Healthcare Machine Learning Jobs in Tulsa, OK

micro1 AI

Engineering AI Evaluator (PhD)

Tulsa, OK · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

micro1 AI

LLM Alignment Specialist - Engineering

Tulsa, OK · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

micro1 AI

Domain Expert - (STEM PhD)

Tulsa, OK · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Talkiatry

Psychiatrist (Remote)

Tulsa, OK · Remote

$325K - $375K/yr

Interest in outpatient, 100% telepsychiatry-based care * Comfort with learning streamlined clinical ... healthcare. Our culture Our clinical community includes 800+ psychiatrists and PMHNPs and 350 ...

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Showing results 21-40

All JobsHealthcare Machine Learning JobsRemote Healthcare Machine Learning JobsRemote Healthcare Machine Learning Jobs in Tulsa, OK

Remote Healthcare Machine Learning information

See Tulsa, OK salary details

$23.3K

$38.9K

$80.4K

How much do remote healthcare machine learning jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote healthcare machine learning in Tulsa, OK is $38,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,700.00 and $42,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Healthcare Machine Learning vs Remote Healthcare Data Analyst?

AspectRemote Healthcare Machine LearningRemote Healthcare Data Analyst
Required CredentialsDegree in Computer Science, Data Science, or related field; knowledge of ML algorithmsDegree in Statistics, Data Analysis, or related field; proficiency in data visualization
Work EnvironmentCollaborates with data scientists and engineers; focuses on developing modelsAnalyzes healthcare data; reports insights to stakeholders
Industry UsageDevelops predictive models for patient outcomes, diagnosticsInterprets healthcare data to inform decisions and improve processes

Remote Healthcare Machine Learning specialists focus on creating algorithms and models to predict health trends, while Remote Healthcare Data Analysts interpret healthcare data to support decision-making. Both roles require strong analytical skills but differ in technical focus and responsibilities.

What is a remote healthcare machine learning professional?

A Remote Healthcare Machine Learning professional is someone who applies machine learning techniques and data analysis to healthcare-related problems while working remotely. They develop algorithms and models to analyze medical data, predict patient outcomes, and improve healthcare delivery. These professionals may work on projects like disease prediction, medical imaging analysis, or personalized treatment recommendations, often as part of a distributed team. Their work helps healthcare organizations leverage data to make informed decisions and improve patient care, all while working from a location outside of a traditional office or hospital setting.

How does a remote healthcare machine learning professional collaborate with clinical teams to implement AI solutions?

Remote Healthcare Machine Learning professionals often work closely with clinicians, data engineers, and IT staff to ensure that AI models address real clinical needs and comply with healthcare regulations. Collaboration usually involves regular virtual meetings, shared project management tools, and iterative feedback cycles where clinicians provide insights on data relevance and model outputs. Effective communication is crucial to bridge the gap between technical and medical expertise, ensuring solutions are both accurate and practical for everyday clinical use.

What are the key skills and qualifications needed to thrive as a remote healthcare machine learning specialist?

To thrive as a Remote Healthcare Machine Learning Specialist, you need a strong background in data science, statistics, machine learning algorithms, and healthcare domain knowledge, typically supported by a relevant degree in computer science, engineering, or biomedical informatics. Proficiency with programming languages (such as Python or R), machine learning frameworks (like TensorFlow or PyTorch), and experience with electronic health record (EHR) systems or health data standards is essential. Strong problem-solving skills, attention to detail, and the ability to communicate complex technical concepts to non-technical stakeholders make someone stand out in this role. These skills are crucial for developing effective, compliant, and impactful healthcare solutions that improve patient outcomes and enable remote care delivery.
What are popular job titles related to Remote Healthcare Machine Learning jobs in Tulsa, OK? For Remote Healthcare Machine Learning jobs in Tulsa, OK, the most frequently searched job titles are:
What job categories do people searching Remote Healthcare Machine Learning jobs in Tulsa, OK look for? The top searched job categories for Remote Healthcare Machine Learning jobs in Tulsa, OK are:
What cities near Tulsa, OK are hiring for Remote Healthcare Machine Learning jobs? Cities near Tulsa, OK with the most Remote Healthcare Machine Learning job openings:
Remote Healthcare Machine Learning jobs near you
Infographic showing various Remote Healthcare Machine Learning job openings in Tulsa, OK as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $38,895 per year, or $18.7 per hour.

Engineering AI Evaluator (PhD)

micro1 AI

Tulsa, OK • Remote

$80 - $90/hr

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Role Title: PhD Engineer (Electrical, Mechanical, Chemical)


Role Type: Contractor


Location: Remote


micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to contribute to a high-impact customer project. 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. Deliver authoritative written responses to complex engineering prompts in your area of expertise
  2. Review and interpret scientific literature to provide contextually accurate and current insights
  3. Design and document realistic experimental scenarios based on advanced engineering principles
  4. Analyze data and interpret results to inform AI training datasets with precision
  5. Apply sophisticated calculus and quantitative methodologies to problem-solving tasks
  6. Ensure clarity, accuracy, and completeness of all submitted materials based on provided guidelines
  7. Collaborate with project coordinators to refine prompt response quality as needed


Preferred Qualifications

  1. PhD in Electrical, Mechanical, or Chemical Engineering
  2. Demonstrated expertise in calculus, data analysis, research methodology, and experimental design
  3. Exceptional written and verbal communication skills with the ability to convey complex concepts clearly
  4. Strong literature review capabilities and familiarity with synthesizing scientific knowledge
  5. Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not required)
  6. Proven ability to produce "golden response" level deliverables with accuracy and completeness
  7. Detail-oriented mindset and commitment to high-quality, impactful contributions

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