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Remote Computer Science Volunteer Jobs in Arizona

Eliassen Group

Senior Applied Data Scientist

Phoenix, AZ · Remote

$80 - $95/hr

... Computer Science, Industrial Engineering, Operations Research) with 2+ years of applied industry ... voluntary benefits including life and disability insurance, 401(k) with match, and sick time if ...

DataAnnotation

Decision Scientist

Phoenix, AZ · On-site +1

$40/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics ...

SynergisticIT

Data Scientist

Tempe, AZ · On-site +1

With remote work and global talent pools, even entry-level roles receive hundreds of applications ... Recent graduates in Computer Science, Engineering, Math, Statistics, or related STEM fields

Relativity

Senior Applied Scientist

Phoenix, AZ · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Master's degree in Computer Science or a quantitative field plus 2 years of relevant industry ...

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Remote Computer Science Volunteer information

What are the key skills and qualifications needed to thrive as a Remote Computer Science Volunteer, and why are they important?

To thrive as a Remote Computer Science Volunteer, you need a solid understanding of programming languages, algorithms, and software development principles, often supported by formal education or relevant coursework. Familiarity with collaboration tools like GitHub, project management platforms, and virtual meeting software is typically required. Strong communication, self-motivation, and teamwork skills help volunteers effectively contribute and coordinate with diverse, remote teams. These skills and qualities are important for delivering impactful technical solutions and maintaining productivity in a virtual environment.

How do Remote Computer Science Volunteers typically collaborate with team members and project stakeholders?

As a Remote Computer Science Volunteer, you’ll often work with a distributed team using online collaboration tools such as Slack, GitHub, and project management platforms like Trello or Asana. Communication is key, as you’ll need to coordinate with fellow volunteers, project managers, and sometimes end users to clarify requirements, share progress, and review code. Regular virtual meetings and asynchronous updates help maintain project momentum. This collaborative environment not only enhances teamwork but also exposes you to a variety of work styles and technical challenges.

What are remote computer science volunteers?

Remote computer science volunteers are individuals who offer their technical skills and knowledge in computer science to assist organizations, nonprofits, or educational programs from a distance, typically via the internet. They may contribute to projects such as coding, software development, website maintenance, technical support, or teaching programming skills. Volunteering remotely allows these individuals to support causes they care about without needing to be physically present, making it accessible for people from different locations. This role often requires strong communication, self-motivation, and a willingness to collaborate online.

What is the difference between Remote Computer Science Volunteer vs Remote Software Developer?

AspectRemote Computer Science VolunteerRemote Software Developer
Required credentialsOften no formal certifications; focus on skills and passionTypically requires a degree or certifications in software development
Work environmentNon-profit projects, open-source, or educational initiativesCommercial or client-based projects, startups, or established companies
Employer and industry usageNon-profit organizations, open-source communities, educational programsTech companies, startups, corporate clients
Common search and comparison intentUnderstanding volunteer opportunities in CSFinding remote software development jobs

Remote Computer Science Volunteers typically work on non-profit or open-source projects without formal certifications, focusing on community impact. In contrast, remote software developers usually work on commercial projects requiring specific technical credentials. Both roles involve remote work but differ in purpose, environment, and employer type.

What are the most commonly searched types of Computer Science Volunteer jobs in Arizona? The most popular types of Computer Science Volunteer jobs in Arizona are:
What are popular job titles related to Remote Computer Science Volunteer jobs in Arizona? For Remote Computer Science Volunteer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science Volunteer jobs in Arizona look for? The top searched job categories for Remote Computer Science Volunteer jobs in Arizona are:
What cities in Arizona are hiring for Remote Computer Science Volunteer jobs? Cities in Arizona with the most Remote Computer Science Volunteer job openings:
Remote Computer Science Volunteer jobs near you
Computational Scientist - AI Trainer

Computational Scientist - AI Trainer

DataAnnotation

Phoenix, AZ • On-site, Remote

$40/hr

Full-time

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

Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, starting at $40+ USD per hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Note: Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #datascience #J-18808-Ljbffr

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