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Remote H1B Computer Science Jobs in Illinois (NOW HIRING)

Relativity

Senior Applied Scientist

Chicago, IL · 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 ...

Ocient Inc.

Software Engineer II

Chicago, IL · On-site +1

$125K - $160K/yr

Remote (US Based Only) We cannot sponsor or transfer any visas, of any kind now or in the future ... Ideal Qualifications: • BS, MS, or PhD in computer science, computer engineering, or related ...

HNI Corporation

Sr. Data Scientist

Chicago, IL · On-site +1

Due to the remote nature of this role and associated employment requirements, the company is unable ... Master's degree or PhD in Computer Science, Statistics, Applied Mathematics, Engineering, or a ...

Integral Ad Science

Senior DevOps Engineer

Chicago, IL · Remote

$133.90K - $172K/yr

... Computer Science/related degree or equivalent experience * Strong coding background with either ... Self-motivated and able to work independently as part of a remote-first team What puts you over the ...

HNI Corporation

Sr. Data Scientist

Chicago, IL · On-site +1

Due to the remote nature of this role and associated employment requirements, the company is unable ... Master's degree or PhD in Computer Science, Statistics, Applied Mathematics, Engineering, or a ...

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What are the key skills and qualifications needed to thrive as a Remote H1B Computer Science professional, and why are they important?

To thrive as a Remote H1B Computer Science professional, you need a strong background in computer science fundamentals, programming languages (such as Python, Java, or C++), and often a relevant degree or equivalent experience. Familiarity with tools like Git, cloud platforms (AWS, Azure, or GCP), and development frameworks, along with knowledge of remote collaboration tools (e.g., Slack, Jira), is typically required. Excellent communication, time management, and problem-solving skills are vital for effectively collaborating across time zones and cultural backgrounds. These skills and qualities are crucial for delivering high-quality solutions, maintaining productivity, and integrating seamlessly with distributed teams.

What are some common challenges faced by Computer Science professionals working remotely on an H1B visa, and how can they be overcome?

Remote H1B Computer Science professionals often encounter challenges such as navigating time zone differences, maintaining effective communication with distributed teams, and ensuring compliance with visa-related work location requirements. To overcome these, it's crucial to establish clear communication channels, set regular check-ins with your team, and stay informed about any updates to H1B regulations regarding remote work. Utilizing collaboration tools and proactively engaging with managers can also help foster a sense of belonging and ensure that work is aligned with organizational goals.

What is a Remote H1B Computer Science job?

A Remote H1B Computer Science job refers to a position in the field of computer science where the employee works remotely (often from home or another location outside the employer’s office) while being sponsored by a U.S. employer under the H1B visa program. The H1B visa allows U.S. companies to employ foreign workers in specialty occupations that require theoretical or technical expertise. In recent years, remote work has become more common for H1B holders, as long as the employer complies with Department of Labor and USCIS regulations, including updating the Labor Condition Application (LCA) if the work location changes. Remote H1B roles can include positions like software engineer, data analyst, or IT consultant.
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Remote H1B Computer Science jobs near you
Atmospheric Scientist - AI Trainer

Atmospheric Scientist - AI Trainer

DataAnnotation

Springfield, IL • 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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