ZipRecruiter

Log In

2

Remote Computer Science Research Jobs in Tennessee

DataAnnotation

Data Science Consultant

Nashville, TN · On-site +1

$40/hr

... research, or any other quantitative field, if you think rigorously about data and models, your ... Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ...

Dataannotation

Data Science Consultant

Nashville, TN · On-site +1

$40/hr

... research, or any other quantitative field, if you think rigorously about data and models, your ... Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ...

Phenom People

Revenue Science Advisor

Collierville, TN · On-site +1

Minimum Qualifications Master's degree in business, mathematics, economics, computer science or other quantitative field such as engineering/operations research. Three (3) years work experience ...

Dataannotation

Decision Scientist

Nashville, TN · On-site +1

$40/hr

... remote work and setting your own schedule. We are looking for experienced quantitative ... data science, astrophysics, economics, biostatistics, operations research, or any other ...

next page

Showing results 1-20

People also search for

All JobsRemote Computer Science Research JobsRemote Computer Science Research Jobs in Tennessee

Remote Computer Science Research information

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

To excel as a Remote Computer Science Researcher, you need advanced knowledge in algorithms, data structures, and research methodologies, often supported by a master's or doctoral degree in computer science or a related field. Familiarity with programming languages (such as Python or C++), version control systems, and collaborative research platforms is typically required. Strong analytical thinking, self-motivation, and effective written communication are vital soft skills for independent work and sharing findings with the research community. These abilities are crucial for producing impactful research, collaborating remotely, and advancing knowledge in the field.

How do remote computer science researchers typically collaborate with teams and manage project progress?

Remote computer science researchers often collaborate using digital communication platforms such as Slack, Zoom, and collaborative coding tools like GitHub. Regular virtual meetings, shared documentation, and version control systems are essential for synchronizing efforts and tracking project milestones. While working remotely can offer flexibility, it also requires strong self-management and proactive communication to ensure research goals are met and team members stay aligned. Building rapport and maintaining open channels for feedback help address challenges and foster a productive, supportive research environment.

What is remote computer science research?

Remote computer science research involves conducting studies, experiments, or theoretical work in computer science from a location outside of a traditional lab or office setting, typically from home or any place with internet access. Researchers use online collaboration tools, cloud computing resources, and virtual meetings to communicate with team members, access data, and share results. This setup allows for greater flexibility and can broaden participation in research projects across different geographic locations. The work may include areas such as artificial intelligence, cybersecurity, software engineering, or data science, and often requires strong self-motivation and excellent communication skills.

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

AspectRemote Computer Science ResearchRemote Software Developer
Required CredentialsAdvanced degrees (Master's/PhD), research experienceBachelor's or higher in CS, coding skills
Work EnvironmentAcademic or research institutions, labsTech companies, startups, freelance projects
Employer & Industry UsageUniversities, research labs, government agenciesSoftware firms, tech industry, consulting
Common Search & Comparison IntentResearch focus, academic rolesDevelopment projects, coding jobs

Remote Computer Science Research typically involves academic or research roles requiring advanced degrees and a focus on theoretical or experimental work. Remote Software Developers focus on building and maintaining software applications, often with coding skills and industry experience. While both roles involve computer science, their work environments, credentials, and industry applications differ significantly.

What are the most commonly searched types of Computer Science Research jobs in Tennessee? The most popular types of Computer Science Research jobs in Tennessee are:
What are popular job titles related to Remote Computer Science Research jobs in Tennessee? For Remote Computer Science Research jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science Research jobs in Tennessee look for? The top searched job categories for Remote Computer Science Research jobs in Tennessee are:
What cities in Tennessee are hiring for Remote Computer Science Research jobs? Cities in Tennessee with the most Remote Computer Science Research job openings:
Remote Computer Science Research jobs near you
Infographic showing various Remote Computer Science Research job openings in Tennessee as of May 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 3% Contract, and 2% Nights. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution.
Computational Scientist - AI Trainer

Computational Scientist - AI Trainer

DataAnnotation

Nashville, TN • On-site, Remote

$40/hr

Full-time

Posted 15 days ago

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