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Remote Technical Science Jobs in Kansas (NOW HIRING)

DataAnnotation

Data Science Consultant

Topeka, KS · On-site +1

$40/hr

... solving technical problems, and providing feedback that directly shapes how these systems reason ... Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ...

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Clinical Trial Liaison

Lawrence, KS · Remote

Ability to discuss and apply technical/scientific/clinical knowledge * Strong communication and ... MN1 #LI- Remote Employment with ICON is contingent upon having the legal right to work in the ...

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What are the key skills and qualifications needed to thrive as a Remote Technical Scientist, and why are they important?

To thrive as a Remote Technical Scientist, you need a solid background in scientific research or engineering, analytical problem-solving, and typically a relevant bachelor's or advanced degree. Familiarity with laboratory information management systems (LIMS), data analysis software like Python or R, and remote collaboration tools is highly valuable. Excellent communication, self-motivation, and adaptability are key soft skills for remote teamwork and independent research. These skills and qualities are essential for ensuring accurate scientific outcomes, effective virtual collaboration, and productivity outside traditional lab environments.

What are some common challenges faced by professionals working in remote technical science roles, and how can they be addressed?

Remote technical science professionals often encounter challenges such as maintaining effective communication with colleagues, accessing specialized equipment, and staying engaged with ongoing research. To address these, it's important to utilize collaborative tools like video conferencing and shared digital workspaces, proactively schedule regular meetings, and coordinate closely with on-site teams to ensure timely access to necessary resources. Additionally, setting clear goals and maintaining transparent documentation can help bridge the gap between remote and in-person work, fostering a productive and connected team environment.

What is a Remote Technical Science job?

A Remote Technical Science job involves applying scientific principles and technical skills to solve problems, conduct research, or develop products, all while working from a location outside of a traditional office or laboratory. These professionals often use digital tools to collaborate with teams, analyze data, write reports, and communicate findings. Common roles include data analysts, research scientists, or technical consultants specializing in fields such as biology, chemistry, engineering, or environmental science. Remote Technical Science positions allow for flexibility and can be found in academia, private industry, or government organizations.
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Data Science Consultant

Data Science Consultant

DataAnnotation

Topeka, KS • 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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