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Remote Design Researcher Jobs in Springfield, IL

Quora

AI Automation Engineer -Remote

Springfield, IL · On-site +1

$202.38K - $234.20K/yr

... not just research or prototypes. You'll lay the groundwork for how we approach internal AI ... For Toronto and Vancouver based applicants, the salary range is $202,383 - $234,201 CAD + equity ...

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Remote Design Researcher information

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$29.7K

$112.1K

$163K

How much do remote design researcher jobs pay per year?

As of May 28, 2026, the average yearly pay for remote design researcher in Springfield, IL is $112,096.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,400.00 and $152,600.00 per year, depending on experience, location, and employer.

What is a Remote Design Researcher job?

A Remote Design Researcher is responsible for studying user needs, behaviors, and experiences to inform design decisions, all while working remotely. They conduct user interviews, usability testing, and data analysis to improve digital products and services. This role requires strong analytical skills, empathy, and expertise in research methodologies. By working remotely, they collaborate with designers, product managers, and stakeholders using digital tools. The goal is to ensure that design solutions align with user expectations and business objectives.

What are the key skills and qualifications needed to thrive in the Remote Design Researcher position, and why are they important?

To thrive as a Remote Design Researcher, you need a solid background in user research methods, human-centered design principles, and data analysis, typically backed by a degree in design, psychology, or a related field. Familiarity with tools such as Figma, Miro, Dovetail, and survey platforms, along with UX research certifications, is often expected. Outstanding communication skills, self-motivation, and the ability to collaborate effectively across distributed teams are highly valued soft skills. These competencies are essential for gathering actionable insights, driving design decisions, and ensuring remote research processes are effective and impactful.

What are some common challenges faced by Remote Design Researchers, and how do they overcome them?

Remote Design Researchers often face challenges such as coordinating research sessions across different time zones, building rapport with participants virtually, and collaborating effectively with design and product teams from a distance. To overcome these, they typically rely on clear communication channels, organized project management tools, and video conferencing software to facilitate real-time feedback and engagement. They also develop strong documentation and reporting practices to ensure research findings are accessible and actionable for team members. Adapting research techniques to the remote context, such as remote usability testing and asynchronous interviews, helps them gather quality insights despite the physical distance.
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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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