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Remote Computer Science Opt Jobs in Columbia, SC

DataAnnotation

Data Science Consultant

Columbia, SC · On-site +1

$40/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics ...

DataAnnotation

Data Scientist

Columbia, SC · Remote

$40/hr

Other related fields include, but are not limited to: applied skills in statistics and/or computer science. Benefits This is a full-time or part-time REMOTE position You'll be able to choose which ...

DetaPent

Junior Data Scientist

Columbia, SC · On-site +1

$60K - $90K/yr

Columbia, SC (Remote) Duration: Full Time Responsibilities Collaborate with stakeholders to ... Qualifications Bachelor's or master's degree in computer science, Data Science, Statistics ...

DataAnnotation

Decision Scientist

Columbia, SC · On-site +1

$40/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics ...

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Remote Computer Science Opt information

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$77.2K

$94.8K

$125.4K

How much do remote computer science opt jobs pay per year?

As of May 28, 2026, the average yearly pay for remote computer science opt in Columbia, SC is $94,826.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,300.00 and $106,400.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Computer Science Opt, you need a solid background in computer science fundamentals, programming, and problem-solving, typically supported by a relevant degree or technical certification. Familiarity with version control systems (like Git), remote collaboration tools, and common programming languages such as Python or Java is essential. Strong self-motivation, effective communication, and time management skills help you stand out in a remote environment. These competencies ensure productivity, high-quality technical output, and smooth teamwork despite working from different locations.

How do remote Computer Science professionals typically collaborate with their teams to ensure project success?

Remote Computer Science professionals often use a combination of collaboration tools such as Slack, Zoom, and project management platforms like Jira or Trello to stay connected with their teams. Regular virtual meetings, code reviews, and documentation sharing are standard practices to maintain clear communication and alignment on project goals. Adapting to asynchronous communication and being proactive in providing updates are essential to overcome the challenges of different time zones and remote work dynamics. Building strong relationships with colleagues through regular check-ins and open communication greatly contributes to successful teamwork and project outcomes.

What are Remote Computer Science OPT jobs?

Remote Computer Science OPT jobs are employment opportunities that allow international students in the U.S. on F-1 visas to work remotely in computer science-related fields during their Optional Practical Training (OPT) period. These positions can include software development, data analysis, IT support, and other technology roles that permit employees to work from locations outside of the traditional office. Such jobs help students gain practical experience in their field of study while offering flexibility in work location. It's important that the job is directly related to the student's major and meets all OPT requirements set by U.S. immigration policies.
What are the most commonly searched types of Computer Science Opt jobs in Columbia, SC? The most popular types of Computer Science Opt jobs in Columbia, SC are:
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What job categories do people searching Remote Computer Science Opt jobs in Columbia, SC look for? The top searched job categories for Remote Computer Science Opt jobs in Columbia, SC are:
What cities near Columbia, SC are hiring for Remote Computer Science Opt jobs? Cities near Columbia, SC with the most Remote Computer Science Opt job openings:
Remote Computer Science Opt jobs near you
Infographic showing various Remote Computer Science Opt job openings in Columbia, SC as of May 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 57% In-person, 11% Hybrid, and 32% Remote job distribution, with an average salary of $94,826 per year, or $45.6 per hour.
Computational Scientist - AI Trainer

Computational Scientist - AI Trainer

DataAnnotation

Columbia, SC • On-site, Remote

$60/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, up to $60 USD/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). 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. #J-18808-Ljbffr

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