ZipRecruiter

Log In

2

Hourly Remote Machine Learning Jobs in Raleigh, NC

micro1 AI

AI Data Science Evaluator

Raleigh, NC · Remote

$245 - $280/hr

Remote About the Role micro1 is partnering with a leading AI lab to hire data scientists and ... You'll bring rigor to how AI models handle statistics, machine learning, experimentation, and ...

Berriehill Research

Senior AI Systems Engineer

Raleigh, NC · On-site +1

$92K - $126K/yr

Operationalize machine learning workflows and support AI-enabled applications from development ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

DataAnnotation

Software Developer - AI Trainer

Durham, NC · On-site +1

$50 - $100/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Projects are paid hourly starting at $50-$100+/hr, with higher rates available for certain projects ...

DataAnnotation

Programmer - AI Trainer

Durham, NC · On-site +1

$50 - $100/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Projects are paid hourly starting at $50-$100+/hr, with higher rates available for certain projects ...

previous pagenext page

Showing results 21-40

All JobsHourly Machine Learning JobsHourly Remote Machine Learning JobsHourly Remote Machine Learning Jobs in Raleigh, NC

Hourly Remote Machine Learning information

See Raleigh, NC salary details

$24.8K

$41.4K

$85.5K

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

As of Sep 15, 2026, the average yearly pay for hourly remote machine learning in Raleigh, NC is $41,395.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,700.00 per year, depending on experience, location, and employer.

What is the difference between Hourly Remote Machine Learning vs Hourly Remote Data Scientist?

AspectHourly Remote Machine LearningHourly Remote Data Scientist
Required CredentialsTypically requires a degree in computer science, data science, or related fields; certifications in machine learning or AI are commonRequires a degree in statistics, data science, or related fields; certifications in data analysis or statistical modeling are beneficial
Work EnvironmentRemote, project-based, often involves developing algorithms and modelsRemote, analytical focus, involves data analysis, visualization, and insights generation
Employer & Industry UsageTech companies, AI startups, research institutionsBusiness, finance, healthcare, tech firms

Hourly Remote Machine Learning professionals focus on developing algorithms and models, often requiring specialized AI knowledge, while Hourly Remote Data Scientists analyze data to generate insights. Both roles are remote, but their core tasks and industry applications differ slightly.

What are popular job titles related to Hourly Remote Machine Learning jobs in Raleigh, NC?

For Hourly Remote Machine Learning jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Hourly Remote Machine Learning jobs in Raleigh, NC look for?

The top searched job categories for Hourly Remote Machine Learning jobs in Raleigh, NC are:

Manager, AI Science & Solutions,US Based Remote

Durham, NC • On-site, Remote

IQVIA
Health Care and Social Assistance • 10K+ employees
Learn more about IQVIAexternal

$894/wk

Full-time

Posted 12 days ago

IQVIA rating

8.1

Company rating: 8.1 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

Job description

Manager, AI Science & Solutions | IQVIA

Are you looking to work at the forefront of Machine Learning and Artificial Intelligence? Would you be excited to apply cutting-edge Generative AI technologies to solve complex, real-world problems with meaningful impact in life sciences and healthcare?

The AI Scientist Group at IQVIA is a strategic, customer-facing team helping pharmaceutical and life sciences organizations design, build, and scale advanced AI/ML solutions. Our team of AI scientists, consultants, and engineers works closely with customers to unlock transformational business value through applied AI innovation.

About the Role

As an AI Scientist Manager, you will work hands-on to design and deliver bespoke AI solutions for pharmaceutical and life sciences customers. You will collaborate with cross-functional teams and clients to take ideas from use case discovery and proof of concept through scalable production deployment.

This role combines technical expertise, innovative problem-solving, and consultative delivery in a highly collaborative environment.

Key Responsibilities
  • Deliver proofs of concept (PoCs) that demonstrate the potential and value of Generative AI solutions.
  • Stay current with the latest advancements in Generative AI and Machine Learning and apply them to real-world business challenges.
  • Provide technical leadership and mentorship to team members.
  • Present and clearly explain AI solutions to non-technical stakeholders in customer-facing engagements.
  • Apply consulting principles to deliver tailored AI solutions aligned with customer needs.
  • Collaborate with internal teams and directly with pharmaceutical and life sciences clients to address business challenges using Generative AI.
  • Serve as the primary point of contact for client stakeholders on assigned engagements.
  • Lead multidisciplinary teams to build, deploy, and scale AI/ML solutions in production environments.
Required Qualifications & Skills
  • Extensive domain experience in Life Sciences. An advanced degree in Computer Science, Engineering, Life Sciences, or a closely related field is preferred.
  • Strong experience managing complex client projects, preferably in Life Sciences R&D.
  • Strong understanding of AI/ML concepts and modern AI architectures, including Generative AI, foundation models, and agentic AI. Experience with Python and LangChain/LangGraph is preferred.
  • Understanding and hands-on experience in the following areas is a plus:
    • Supervised Fine-Tuning (SFT)
    • Direct Preference Optimization (DPO)
    • Proximal Policy Optimization (PPO)
    • Reward Modeling
  • Experience deploying machine learning models at scale on cloud platforms (e.g., Azure, AWS) is preferred.
  • Excellent analytical and problem-solving skills, with the ability to think creatively and critically.
  • Strong communication and collaboration skills, with the ability to explain complex technical concepts to non-technical audiences.
  • Ability to manage multiple projects and priorities in a fast-paced, client-focused environment.
  • A strong desire to work in a collaborative, team-oriented culture.
Why IQVIA

At IQVIA, you'll have the opportunity to apply advanced AI technologies to some of the most impactful challenges in global healthcare and life sciences, working with world-class talent, industry-leading data, and innovative platforms to drive real outcomes.

Key Improvements
  • Standardized capitalization (Generative AI, Machine Learning, Life Sciences).
  • Removed HTML tags (
    ) and replaced with proper section formatting.
  • Improved punctuation and grammar consistency.
  • Standardized terminology such as "proofs of concept," "point of contact," and "problem-solving."
  • Enhanced readability while preserving the original content and meaning.

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more athttps://jobs.iqvia.com

IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

The potential base pay range for this role, when annualized, is $89,400.00 - $278,500.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.

What IQVIA employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

IQVIA logo

About IQVIA

Sourced by ZipRecruiter

At IQVIA, we are passionate about helping customers and partners improve results and patient outcomes. Everything we do contributes to this vision for creating a healthier world. In today’s healthcare environment, it’s not only about how much data, information, and technology you have at your fingertips – it’s what you do with it. IQVIA is focused on making intelligent connections for customers across the entire healthcare ecosystem to help you drive healthcare forward. Whether that means partnering with novel technology companies to boost patient engagement, leveraging AI & machine learning to accelerate results, or using decentralized trials to reach the right patients wherever they are – we are always looking for smarter ways to move you forward.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Durham, NC, US

View All IQVIA Jobs

Apply