ZipRecruiter

Log In

2

Remote Easiest Computer Science Jobs in Maryland

Digital Harbor Foundation

Research Scientist

Baltimore, MD · On-site +1

$120K - $150K/yr

... remote sensing and field data. This role specifically is for the internal development of data ... PhD in atmospheric science, geophysics, applied mathematics, computer science, or a closely related ...

next page

Showing results 1-20

People also search for

All JobsRemote Easiest Computer Science JobsRemote Easiest Computer Science Jobs in Maryland

Remote Easiest Computer Science information

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

To thrive as a Remote Computer Science Professional, you need a solid understanding of programming languages, algorithms, and computer systems, often supported by a relevant degree or certifications. Familiarity with version control systems (like Git), cloud platforms, and remote collaboration tools is typically required. Strong problem-solving skills, self-motivation, and effective communication are crucial soft skills for excelling in a remote environment. These skills and qualities ensure productivity, technical proficiency, and seamless teamwork despite physical distance.

What are some common challenges faced when working remotely in entry-level computer science roles, and how can they be managed?

Remote entry-level computer science roles often require strong self-discipline and time management, as it can be easy to get distracted without in-person supervision. Clear communication is also essential, since collaborating with team members and managers happens mainly through digital channels. To manage these challenges, it helps to establish a structured daily routine, proactively seek feedback, and use collaboration tools like Slack or Jira to stay connected with your team. Participating in regular check-ins and asking questions can also support your growth and ensure you remain aligned with project goals.

What are remote easiest computer science jobs?

Remote easiest computer science jobs are positions in the tech field that can be performed from anywhere and typically require less experience or specialized knowledge compared to more advanced roles. Examples include data entry, website testing, technical support, QA testing, or junior web development. These roles often involve basic programming, troubleshooting, or administrative IT tasks, making them accessible to beginners or those looking to enter the tech industry. Flexibility and the ability to work from home make these jobs appealing for many seeking work-life balance.

What is the difference between Remote Easiest Computer Science vs Remote Web Developer?

AspectRemote Easiest Computer ScienceRemote Web Developer
Required CredentialsBasic programming knowledge, certifications optionalHTML, CSS, JavaScript skills, often certifications or courses
Work EnvironmentRemote, flexible hours, individual tasksRemote, collaborative, project-based
Industry UsageBroad tech industry, entry-level rolesWeb development agencies, startups, tech companies
Search & Comparison IntentLooking for easy entry-level tech jobsSeeking web development roles with manageable complexity

Remote Easiest Computer Science typically involves entry-level programming tasks with minimal certifications, suitable for beginners. Remote Web Developer roles focus on building websites using HTML, CSS, and JavaScript, often requiring specific skills but still accessible for newcomers. Both roles are remote and entry-level, but Web Developer positions are more specialized in web technologies, while Computer Science roles may cover broader programming tasks.

What are the most commonly searched types of Easiest Computer Science jobs in Maryland? The most popular types of Easiest Computer Science jobs in Maryland are:
What are popular job titles related to Remote Easiest Computer Science jobs in Maryland? For Remote Easiest Computer Science jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Remote Easiest Computer Science jobs in Maryland look for? The top searched job categories for Remote Easiest Computer Science jobs in Maryland are:
What cities in Maryland are hiring for Remote Easiest Computer Science jobs? Cities in Maryland with the most Remote Easiest Computer Science job openings:
Remote Easiest Computer Science jobs near you
Infographic showing various Remote Easiest Computer Science job openings in Maryland as of May 2026, with employment types broken down into 9% Internship, 73% Full Time, 9% Part Time, and 9% Contract. Highlights an 100% Remote job distribution.
Remote AI Trainer & Quantitative Reasoning Scientist

Remote AI Trainer & Quantitative Reasoning Scientist

DataAnnotation

Annapolis, MD • On-site, Remote

$60/hr

Full-time

Posted 15 days ago

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, up to $60 USD/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

Apply