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Machine Learning Contract Remote Jobs in Apex, NC

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 ...

Principal Data Scientist

Raleigh, NC · On-site +1

$147K - $243K/yr

Use machine learning, data mining, and statistical methods to distill meaningful insights from ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Contract Management Professional

Raleigh, NC · On-site +1

$86K - $115K/yr

Legal, Compliance & Audit Job Schedule: Full time Remote: No The Opportunity At Hitachi Energy, we ... Employee Resource Groups (depending on location), tuition reimbursement program, on-demand learning ...

Data Science Tutor

Raleigh, NC · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Data Science Tutor

Chapel Hill, NC · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Data Science Tutor

Durham, NC · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Showing results 21-40

Machine Learning Contract Remote information

See Apex, NC salary details

$19.4K

$32.4K

$67.1K

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

As of Sep 8, 2026, the average yearly pay for machine learning contract remote in Apex, NC is $32,447.00, according to ZipRecruiter salary data. Most workers in this role earn between $24,800.00 and $35,000.00 per year, depending on experience, location, and employer.

What is a machine learning contract remote job?

Machine learning contract remote jobs are temporary work opportunities where professionals use machine learning techniques to solve problems for organizations, but do so remotely, often from home or another location. These roles typically involve building, training, and deploying models, analyzing data, and collaborating with teams virtually. Contracts can vary in length and scope, allowing flexibility for both the employer and the worker. These positions are ideal for individuals seeking project-based work or more flexible schedules, and require strong technical skills and the ability to communicate effectively online.

What skills and qualifications are needed to thrive as a machine learning contractor in a remote role?

To thrive as a Machine Learning Contractor working remotely, you need strong proficiency in mathematics, programming (typically Python), and a solid understanding of machine learning algorithms, usually supported by a relevant degree or equivalent experience. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and cloud platforms such as AWS or Azure is essential, as well as experience with version control systems like Git. Excellent self-motivation, time management, and communication skills help you effectively collaborate with distributed teams and manage multiple projects independently. These competencies are crucial for delivering high-quality, scalable solutions and meeting client expectations in a flexible, remote work environment.

What are common challenges faced by remote machine learning contractors, and how can they be addressed?

Remote machine learning contractors often face challenges such as managing communication across time zones, accessing necessary data securely, and staying aligned with the client's project expectations. To address these, it’s important to establish clear communication channels, use secure data transfer protocols, and schedule regular check-ins with project stakeholders. Building strong documentation habits and leveraging collaborative tools like version control or shared notebooks can also help ensure smooth workflow and project transparency.

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

AspectMachine Learning Contract RemoteData Scientist Contract Remote
Required CredentialsDegree in Computer Science, Data Science, or related field; experience with ML frameworksDegree in Statistics, Data Science, or related; proficiency in data analysis tools
Work EnvironmentRemote, project-based, often collaborative with ML engineersRemote, analytical, often cross-functional teams
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting
Common Search & ComparisonYesYes

Machine Learning Contract Remote roles focus on developing and deploying ML models, requiring specialized skills in algorithms and frameworks. Data Scientist Contract Remote positions emphasize data analysis, statistical modeling, and insights generation. While both roles often work remotely and share similar credentials, their core responsibilities differ, making this comparison useful for job seekers exploring related opportunities.

What are popular job titles related to Machine Learning Contract Remote jobs in Apex, NC?

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

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

The top searched job categories for Machine Learning Contract Remote jobs in Apex, NC are:

What cities near Apex, NC are hiring for Machine Learning Contract Remote jobs?

Cities near Apex, NC with the most Machine Learning Contract Remote job openings:

Infographic showing various Machine Learning Contract Remote job openings in Apex, NC as of August 2026, with employment types broken down into 1% As Needed, 65% Full Time, 33% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $32,447 per year, or $15.6 per hour.

Senior AI Systems Engineer

Berriehill Research

Raleigh, NC • On-site, Remote

$92K - $126K/yr

Full-time

Re-posted 7 days ago


Job description

Essential Functions:

  • Lead the deployment, integration, and operational support of AI platforms, tools, and services, ensuring compatibility with existing systems and enterprise processes.
  • Design, implement, monitor, and optimize AI infrastructure, working with server, cloud, and platform engineering teams.
  • Operationalize machine learning workflows and support AI-enabled applications from development through production deployment and sustainment.
  • Build and maintain CI/CD and MLOps pipelines for model packaging, testing, deployment, rollback, and lifecycle management.
  • Implement infrastructure automation using scripting, Infrastructure as Code, and configuration management practices.
  • Provide ongoing technical support, troubleshooting, root cause analysis, and documentation for AI platforms and user-facing AI services.
  • Maintain observability across AI systems through logging, metrics, performance monitoring, alerting, and incident response practices.
  • Ensure security, compliance, and governance requirements are met, including participation in audits, vulnerability management, and secure architecture reviews.
  • Assess and implement system enhancements to improve performance, scalability, reliability, and cost efficiency.
  • Collaborate across divisions to support diverse AI initiatives and align technical implementations with mission and business objectives.
  • Evaluate emerging AI tools, frameworks, and infrastructure approaches for operational fit, supportability, and long-term value.
  • Develop and maintain technical documentation, runbooks, architecture diagrams, and operational procedures.

Experience and Skills Required:

  • Bachelor’s degree in computer science, Engineering, Information Technology, or a related STEM field with 8-10 years of engineering experience. 
  • 2+ years of experience supporting AI/ML platforms, MLOps workflows, model deployment, or AI-enabled infrastructure.
  • Strong coding and automation skills in Python, Bash, or similar scripting languages.
  • Experience with AI/ML frameworks and tooling such as PyTorch, Hugging Face, or similar ecosystems.
  • Proficiency with DevOps and MLOps practices, including CI/CD pipelines, Git-based workflows, containerization, and Kubernetes.
  • Experience deploying AI/ML models or AI services into operational environments, including containerized, cloud, or high-performance computing environments.
  • Familiarity with security frameworks and compliance standards such as NIST and CMMC.
  • Familiarity with AI security functionality in enterprise environments including OAuth
  • Strong communication skills and the ability to collaborate effectively across technical and non-technical teams.

Preferred:

  • Advanced degree or certifications related to AI or machine learning.
  • Experience integrating AI models into scientific workflows.
  • Familiarity with large language model (LLM) APIs and orchestration frameworks such as OpenAI, Hugging Face, LangGraph, or LangChain.
  • Experience with model serving, inference optimization, or AI platform tools such as MLflow, Kubeflow, vLLM, or similar.
  • Experience with simulations for scientific or engineering projects, particularly physical systems simulations.
  • Experience with GPU-based systems or running AI models in HPC environments.
  • Experience writing and deploying MCP Servers on Kubernetes
  • DoD experience
  • Secret Security Clearance – Active or Inactive

Education:

  • Bachelor’s degree in CS, Software Engineering or other IT-related field or equivalent experience

REMOTE WORK NOTICE: This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be given to candidates located onsite in the Albuquerque, NM and Raleigh, NC area.