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Remote Ibm Computer Science Jobs in Illinois (NOW HIRING)

DataAnnotation

Decision Scientist

Springfield, IL · 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 ...

The Hartford

Director of Data Science

Chicago, IL · On-site +1

$153.20K - $229.80K/yr

... Data Science, Computer Science, or a similar analytical field, or a relevant professional ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

Yantran LLC

Data Engineering Architect

Oak Brook, IL · Remote

$64.50 - $82.75/hr

In the alternative, employer will accept a Master's degree in Computer Science, Engineering ... Informatica, Talend, IBM DataStage, Azure Data Factory, or AWS Glue; At least one of the following ...

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 ...

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

AspectRemote Ibm Computer ScienceRemote Software Developer
Required CredentialsBachelor's in Computer Science, IBM certificationsBachelor's in Computer Science or related field, coding bootcamps
Work EnvironmentRemote, often corporate IBM platformsRemote, various tech companies or startups
Employer & Industry UsageIBM, enterprise IT, consultingTech companies, startups, freelance projects
Common Search & ComparisonYesYes

Remote Ibm Computer Science roles focus on IBM-specific technologies and certifications within enterprise environments, while Remote Software Developer positions are broader, covering various programming languages and companies. Both roles are remote-friendly but differ in industry focus and required credentials.

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Decision Scientist

Decision Scientist

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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