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R Programmer Part Time Jobs (NOW HIRING)

ATA Engineering, Inc

Engineering Software Programmer

CA · On-site

$85K - $125K/yr

No contractors or part-time applications will be accepted. * Excellent verbal and written ... F.R. § 120.62. Please note: we prefer electronic copies of all documents, but you may also mail ...

Northeastern University

Temporary Analyst

Boston, MA · On-site

$38/hr

This is a part-time, remote position requiring 20 hours per week. The ideal candidate will be experienced in R programming, have a strong foundation in biostatistics or epidemiology, and demonstrate ...

NorthEastern

Temporary Analyst

Boston, MA · Remote

$38/hr

This is a part-time, remote position requiring 20 hours per week. The ideal candidate will be experienced in R programming, have a strong foundation in biostatistics or epidemiology, and demonstrate ...

G. R. Freeman

HVAC Office Assistant

Evansville, IN · On-site

$10 - $15/hr

G. R. Freeman Heating & Air Conditioning Inc. is currently seeking a meticulous individual to fill ... This part-time position offers a competitive compensation of $10-$15 per hour . This role calls for ...

New York University

Researcher (Part-time)

New York, NY · On-site

$26.37/hr

Description Part time Research Scholar Biomedical Engineering New York University Faculty in the ... Have demonstrated writing and programming skills in MATLAB, Python, or R. * Have training in ...

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How much do r programmer part time jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for r programmer part time in the United States is $39.54, according to ZipRecruiter salary data. Most workers in this role earn between $25.72 and $51.44 per hour, depending on experience, location, and employer.

What is a R Programmer Part Time job?

A part-time R Programmer is responsible for writing and optimizing R code for data analysis, statistical modeling, or visualization while working fewer hours than a full-time position. They may assist in tasks such as data cleaning, creating reports, or developing machine learning models. This role is often found in industries like healthcare, finance, and research, where data-driven decision-making is essential. Part-time R programmers typically work on a contract or freelance basis, providing flexibility in work hours.

What are the key skills and qualifications needed to thrive in the R Programmer Part Time position, and why are they important?

To thrive as an R Programmer Part Time, you should have strong skills in R programming, data analysis, and statistical modeling, often backed by a degree in statistics, computer science, or a related field. Familiarity with R Studio, version control systems like Git, and, in some roles, exposure to database tools such as SQL are beneficial, with certifications in data analysis or programming providing an added edge. Effective time management, problem-solving abilities, and clear communication are valuable soft skills, enabling efficient remote or project-based work. These skills are crucial as they ensure the part-time R Programmer can deliver accurate, reliable results and collaborate seamlessly within data-driven teams on a flexible schedule.

What types of projects or tasks are typically assigned to part-time R Programmers?

Part-time R Programmers often work on a range of data-focused projects, such as cleaning and analyzing datasets, building statistical models, creating data visualizations, and automating data processing tasks. Depending on the organization, you may be tasked with supporting larger analytics teams, developing reports for business stakeholders, or contributing to research studies. The workload usually involves specific assignments or deliverables with clear deadlines, often allowing for flexible working hours. Collaboration commonly takes place through online meetings, code repositories, or project management tools, making strong remote communication skills important for success in the role.
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R Programmer Part Time jobs near you

Senior AI/ML Modeling, Simulation & Analysis Engineer (Part-Time)

TRIAEM, LLC

Sterling, VA

$105.50K - $144.90K/yr

Part-time

Posted 14 hours ago

Job description


Senior AI/ML Modeling, Simulation & Analysis Engineer (Part-Time)

Active TS/SCI Required
Location: Chantilly, Va or Springfield, Va

We are seeking a Senior AI/ML Modeling, Simulation & Analysis (MS&A) Engineer to support NGA mission initiatives focused on AI modernization, model assurance, and verification frameworks. This part-time role provides high-level technical advisory support across AI/ML strategy, verification, validation, and explainability efforts in classified GEOINT environments.

This is a senior-level opportunity for an experienced engineer who understands both the operational mission and the rigor required for trusted AI systems in national security applications.

Key Responsibilities

  • Conduct AI/ML gap analyses assessing impact across intelligence, command and control, targeting, autonomous systems, and training environments.
  • Provide subject matter expertise in AI Assurance, Independent Verification & Validation (IV&V), and Explainable AI (XAI).
  • Support Analysis of Alternatives (AoA), Design of Experiments (DoE), trade studies, and engineering assessments.
  • Advise Government stakeholders on strategic technical planning, performance engineering, and risk management.
  • Develop quantitative and qualitative metrics to ensure confidence and trust in AI models.
  • Contribute to AI Assurance frameworks including V&V-as-a-Service and advanced T&E methodologies.
  • Evaluate system architectures, cloud capabilities, CI/CD pipelines, and automation workflows.
  • Collaborate across NGA, NSG, IC partners, and industry teams to advance enterprise AI strategy.

Required Qualifications

  • Active TS/SCI clearance (required).
  • Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or related STEM field (or equivalent senior-level experience).
  • Demonstrated experience in AI model verification, validation, and evaluation (IV&V / T&E).
  • Experience supporting AI Assurance and/or Explainable AI (XAI) initiatives.
  • Proficiency in programming languages such as Python, C++, MATLAB, R, or Java.
  • Experience developing engineering solutions leveraging AI, automation, and augmentation technologies.

Desired Qualifications

  • Experience supporting NGA or Intelligence Community programs.
  • Familiarity with DevSecOps, CI/CD pipelines, and cloud-based AI environments.
  • SAFe Agile and/or Model-Based Systems Engineering (MBSE).
  • Experience with Atlassian tools (JIRA, Confluence).
  • Experience working with structured and unstructured Big Data.