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Remote Applied Computer Science Jobs in Missouri

Invisible Agency

$8 - $65/hr

As a contractor, you'll supply a secure computer and high-speed internet; company-sponsored ... Remote Seniority level: Mid - Senior Level

Daikin Applied

National Accounts Manager

Louisiana, MO · Remote

$100.80K - $166.70K/yr

... Applied, where innovation and excellence drive our every endeavor! Location: Remote. Travel 25 ... Bachelor's Degree (Technical, Scientific, or Engineering) 5+ Years of related experience in HVAC ...

Daikin Applied

National Accounts Manager

Kansas City, MO · Remote

$100.80K - $166.70K/yr

... Applied, where innovation and excellence drive our every endeavor! Location: Remote. Travel 25 ... Bachelor's Degree (Technical, Scientific, or Engineering) 5+ Years of related experience in HVAC ...

Premier Tech Inc

Senior Appian Administrator

Kansas City, MO · Remote

$83.90K - $113.70K/yr

Bachelor's degree in Computer Science, Engineering, or related field Nice to have * Appian ... Fully remote * 4-month contract * Schedule: 8:305 CT, MondayFriday * Target start: May 6, 2026

Koantek

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$113.30K - $136.10K/yr

United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data ... Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent ...

Invisible Agency

$65/hr

Largescale language models are evolving from clever chatbots into powerful engines of scientific ... Remote Seniority level: MidSenior Level

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Remote Applied Computer Science information

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

AspectRemote Applied Computer ScienceRemote Software Developer
Required CredentialsBachelor's in Computer Science or related field; certifications varyBachelor's in Computer Science or related field; certifications optional
Work EnvironmentResearch, data analysis, algorithm development, often in tech or academiaDesign, coding, testing, and maintaining software applications
Employer & Industry UsageTech companies, research institutions, academiaTech firms, startups, software development agencies
Common Search & ComparisonYesYes

Remote Applied Computer Science focuses on research, algorithms, and data analysis, often in academic or research settings. Remote Software Developers primarily design and build software applications. While both roles require a computer science background, their daily tasks and industry applications differ significantly.

What are popular job titles related to Remote Applied Computer Science jobs in Missouri? For Remote Applied Computer Science jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Applied Computer Science jobs in Missouri look for? The top searched job categories for Remote Applied Computer Science jobs in Missouri are:
What cities in Missouri are hiring for Remote Applied Computer Science jobs? Cities in Missouri with the most Remote Applied Computer Science job openings:
Remote Applied Computer Science jobs near you
Infographic showing various Remote Applied Computer Science job openings in Missouri as of May 2026, with employment types broken down into 2% As Needed, 59% Full Time, 29% Part Time, and 10% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.
Marketing Data Scientist - AI Trainer

Marketing Data Scientist - AI Trainer

DataAnnotation

California, MO • 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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