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Remote Machine Learning Qa Jobs in Raleigh, NC (NOW HIRING)

Senior Software Engineer

Raleigh, NC · Remote

$119K - $157K/yr

Partner with Product, QA, and Operations teams to refine requirements, estimate work, and deliver ... machine learning and Generative AI solutions in production environments, preferably within ...

Quality Perform Spec Clinical

Raleigh, NC · On-site +1

$31.25 - $41.75/hr

Remote based position with a strong preference for a North Carolina resident. Will support the North Carolina plan. RN required Responsibilities: As part of the Quality Management team, the Quality ...

Our proprietary platform, enhanced by machine learning and robotic process automation, gives ... Establish effective working relationships with the NAV, QA, Compliance Departments within HedgeServ.

Manager Data Science

Raleigh, NC · On-site +1

$115K - $192K/yr

The ideal candidate will have a deep understanding of machine learning algorithms, experience working with large datasets, and a track record of delivering high-quality results. You will work closely ...

Familiarity with SAS, machine learning, and natural language processing is desirable but not ... Knowledge of Good Clinical Practice (GCP), quality assurance principles, and regulatory ...

Manager Data Science

Raleigh, NC · On-site +1

$115K - $192K/yr

The ideal candidate will have a deep understanding of machine learning algorithms, experience working with large datasets, and a track record of delivering high-quality results. You will work closely ...

Familiarity with SAS, machine learning, and natural language processing is desirable but not ... Knowledge of Good Clinical Practice (GCP), quality assurance principles, and regulatory ...

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 ...

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 ...

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 ...

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Remote Machine Learning Qa information

See Raleigh, NC salary details

$85.5K

$123.8K

$134.6K

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

As of Jul 14, 2026, the average yearly pay for remote machine learning qa in Raleigh, NC is $123,781.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,400.00 and $125,400.00 per year, depending on experience, location, and employer.
What are popular job titles related to Remote Machine Learning Qa jobs in Raleigh, NC? For Remote Machine Learning Qa jobs in Raleigh, NC, the most frequently searched job titles are:
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AI/ML Engineers - Gen AI - Remote / Telecommute

AI/ML Engineers - Gen AI - Remote / Telecommute

CYNET SYSTEMS

Cary, NC • Remote

$45 - $50/hr

Contractor

Re-posted 5 days ago


Job description

Job Overview:

Requirement/Must Have:

  • 1+ years of experience with machine learning frameworks and libraries (such as TensorFlow, PyTorch, or similar).
  • Deep expertise in cloud technologies, focusing strongly on Microsoft Azure, including expertise in Azure Data and AI platforms (such as Databricks, Fabric, and AI Foundry).
  • Experience in developing and deploying AI agents and machine learning models.

Responsibilities:

  • Build secure, scalable AI agents and integrate into applications and workflows for robust, cross-platform deployment and enhanced user experience.
  • Advance AI agent capabilities through research and performance evaluation, focusing on improved conversation, decision-making, adaptability, and the implementation of safety and guardrail mechanisms.
  • Continuously optimize agent performance through feedback mechanisms, reinforcement learning, and user interaction analysis.
  • Collaborate across the stack, supporting backend services, model pipelines, and frontend interfaces for agentic systems.
  • Prototype rapidly, iterate on ideas, and contribute to incubation efforts in a startup-style environment.
  • Work closely with senior engineers and researchers, learning best practices and contributing to production-grade AI systems.

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.

Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

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