ZipRecruiter

Log In

2

Remote Master Science Jobs in Oklahoma (NOW HIRING)

DataAnnotation

Economist - AI Trainer

Oklahoma City, OK · On-site +1

$40/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant ...

UMB Bank

AI Data Architect

Oklahoma City, OK · On-site +1

$83.20K - $178.80K/yr

However, the remote location must within the US. How you'll spend your time: * Define and implement ... Master's degree in Data Science, Information Management, or related discipline and at least 10 ...

DataAnnotation

Math Teacher

Oklahoma City, OK · Remote

$40/hr

Applied Mathematics and/or Computer Science. Benefits This is a full-time or part-time REMOTE ... Master's and/or Ph.D. is preferred but not required Notes Payment is made via PayPal. We will never ...

DataAnnotation

R&D Mathematician

Oklahoma City, OK · Remote

$40/hr

Applied Mathematics and/or Computer Science. Benefits This is a full-time or part-time REMOTE ... Master's and/or PhD is preferred but not required Notes Payment is made via PayPal. We will never ...

next page

Showing results 1-20

People also search for

All JobsRemote Master Science JobsRemote Master Science Jobs in Oklahoma

Remote Master Science information

What are the key skills and qualifications needed to thrive as a Remote Master Science Teacher, and why are they important?

To thrive as a Remote Master Science Teacher, you need deep subject matter expertise in science, a teaching credential, and experience in curriculum design or instruction. Familiarity with online learning platforms, virtual classroom tools, and digital assessment systems is typically required. Strong communication, adaptability, and student engagement skills help educators connect with diverse learners in a virtual environment. These skills are essential for delivering effective instruction and fostering student success in remote science education.

What are some common challenges faced by remote Master of Science professionals, and how can they overcome them?

Remote Master of Science professionals often encounter challenges such as maintaining effective communication with their team, managing time zones, and staying motivated without in-person supervision. To overcome these obstacles, it's important to establish clear communication channels, set a structured daily schedule, and use collaboration tools like video conferencing and project management software. Regular check-ins with supervisors and peers can also help foster a sense of connection and accountability, ensuring that projects stay on track and professional development continues remotely.

What is a Remote Master of Science degree?

A Remote Master of Science (MSc) degree is a postgraduate academic program that allows students to complete their studies online or through distance learning, rather than attending classes in person. These programs are designed to provide flexibility for students who may be working professionals or have other commitments. Coursework, assignments, and sometimes exams are conducted online, and students may have access to virtual resources, faculty, and peer collaboration. Remote MSc degrees are offered in a variety of scientific and technical fields and are typically equivalent in rigor and recognition to on-campus programs.

What is the difference between Remote Master Science vs Remote Data Scientist?

AspectRemote Master ScienceRemote Data Scientist
Required CredentialsMaster's degree in Science, related certificationsMaster's degree in Data Science, statistics, or related field
Work EnvironmentRemote, research-focused, analyticalRemote, data analysis, modeling, and visualization
Industry UsageResearch institutions, academia, scientific organizationsTech companies, finance, healthcare, e-commerce
Common Search IntentUnderstanding scientific roles, research projectsData analysis, machine learning, predictive modeling

The Remote Master Science role typically involves scientific research, experiments, and analysis in academic or research settings, requiring advanced scientific credentials. In contrast, a Remote Data Scientist focuses on analyzing data, building models, and deriving insights for business applications. While both roles require strong analytical skills and often similar educational backgrounds, their work environments and industry applications differ significantly.

What are popular job titles related to Remote Master Science jobs in Oklahoma? For Remote Master Science jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Remote Master Science jobs in Oklahoma look for? The top searched job categories for Remote Master Science jobs in Oklahoma are:
What cities in Oklahoma are hiring for Remote Master Science jobs? Cities in Oklahoma with the most Remote Master Science job openings:
Remote Master Science jobs near you
Economist - AI Trainer

Economist - AI Trainer

DataAnnotation

Oklahoma City, OK • 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

Apply