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Remote Masters Computer Science Jobs in Pennsylvania

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... D. in GIScience, Environmental Science, Geography, Statistics, Computer Science, Public Health ...

The Pennsylvania State University

$201.80K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Computer programming in one or more of the following: Python, R, Java, C++, or Matlab * Highly ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... POSITION SPECIFICS The Department of Computer Science and Engineering at The Pennsylvania State ...

Mondo

Staff Software Engineer

Horsham, PA · Remote

$80 - $90/hr

Staff Software Engineer, location is REMOTE. The start date is ASAP for this contract to hire ... Bachelor's degree in Computer Science, Engineering, or related field * 10 years of professional ...

The Pennsylvania State University

$18/hr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Currently enrolled in a Masters/PhD program in Robotics, Computer Science, Public Policy/Lawor a ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. Work ...

Novacore

Data Scientist

Conshohocken, PA · On-site +1

Bachelor's degree in a quantitative discipline (Statistics, Mathematics, Computer Science, Actuarial Science, or Economics); Masters degree is a plus. * Strong proficiency in Python and/or R for ...

Jj

Manager, Data Science - Oncology

Spring House, PA · On-site +1

Advanced degree (Master's or equivalent) in Computer Science, Engineering, Life Sciences, or other ... Proven record leading improvement initiatives with multi-disciplinary and remote partners.

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Remote Masters Computer Science information

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

To thrive as a Remote Masters in Computer Science graduate, you need advanced knowledge in algorithms, data structures, programming languages, and a relevant master's degree. Familiarity with software development tools, cloud platforms, version control systems, and certifications in areas like AWS or machine learning are highly valued. Strong analytical thinking, problem-solving abilities, and effective remote communication skills set exceptional candidates apart. These competencies are crucial for tackling complex technical challenges and collaborating efficiently in distributed teams.

What are some common challenges faced by students in a remote Master's in Computer Science program, and how can they be overcome?

Students pursuing a remote Master's in Computer Science often face challenges such as staying motivated without in-person interaction, managing time effectively, and collaborating with peers on group projects. To overcome these, it's important to establish a structured daily routine, actively participate in virtual study groups, and utilize online collaboration tools like GitHub or Slack. Many programs also offer virtual office hours and mentoring, so taking advantage of these resources can greatly enhance your learning experience and help you stay connected with both faculty and classmates.

What is a Remote Masters in Computer Science?

A Remote Masters in Computer Science is a graduate-level degree program that is completed entirely online, allowing students to study from anywhere without needing to attend classes on campus. These programs typically cover advanced topics in computer science such as algorithms, artificial intelligence, machine learning, cybersecurity, and software engineering. Students interact with professors and peers through virtual classrooms, discussion forums, and online assignments. Many remote programs offer flexible schedules, making them ideal for working professionals or those with other commitments. Graduates of remote masters programs receive the same degree as their on-campus counterparts and can pursue careers in academia, research, or the tech industry.
What are the most commonly searched types of Masters Computer Science jobs in Pennsylvania? The most popular types of Masters Computer Science jobs in Pennsylvania are:
What are popular job titles related to Remote Masters Computer Science jobs in Pennsylvania? For Remote Masters Computer Science jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Remote Masters Computer Science jobs in Pennsylvania look for? The top searched job categories for Remote Masters Computer Science jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Remote Masters Computer Science jobs? Cities in Pennsylvania with the most Remote Masters Computer Science job openings:
Remote Masters Computer Science jobs near you
Staff Data Scientist - AI Trainer

Staff Data Scientist - AI Trainer

DataAnnotation

Indiana, PA • 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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