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Data Science Co Op Remote Jobs in Sumter, SC (NOW HIRING)

TSMG

AI/ML Data Contributor

Columbia, SC · Remote

Participate in remote assignments or attend on-site sessions when required * Follow project ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

TSMG

AI/ML Data Contributor

Columbia, SC · Remote

Participate in remote assignments or attend on-site sessions when required * Follow project ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

W&M Environmental Group

Air Modeler

Columbia, SC · Remote

$80K - $119K/yr

Experience evaluating meteorological data, surface characteristics, terrain, background ... remote Compensation Range: $80,000.00 - $119,000.00 As an EEO/Affirmative Action Employer, all ...

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All JobsData Science Co Op JobsData Science Co Op Remote JobsData Science Co Op Remote Jobs in Sumter, SC

Data Science Co Op Remote information

See Sumter, SC salary details

$33.4K

$109.3K

$175K

How much do data science co op remote jobs pay per year?

As of Jul 30, 2026, the average yearly pay for data science co op remote in Sumter, SC is $109,307.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,700.00 and $121,100.00 per year, depending on experience, location, and employer.

What is the difference between Data Science Co Op Remote vs Data Analyst Intern Remote?

AspectData Science Co Op RemoteData Analyst Intern Remote
Required CredentialsEnrolled in or recent graduate of a data-related program, some programming skillsEnrolled in or recent graduate of a data, statistics, or related program, basic analytical skills
Work EnvironmentRemote, collaborative team projects, mentorship opportunitiesRemote, focused on data analysis tasks, supervised by analysts or managers
Employer & Industry UsageTech, finance, healthcare companies offering structured co-op programsVarious industries, often as part of internship programs for entry-level experience

The main difference is that Data Science Co Op Remote roles focus on developing data science skills, including programming and modeling, while Data Analyst Intern Remote positions emphasize data analysis and reporting. Both are remote, entry-level roles that provide valuable industry experience, but they target different skill sets within the data field.

What types of projects can a Data Science Co-Op expect to work on in a remote setting?

As a remote Data Science Co-Op, you will typically contribute to projects involving data cleaning, exploratory data analysis, and building predictive models under the guidance of senior team members. You may also assist in developing dashboards, automating data pipelines, or researching new data sources depending on the team's current priorities. Collaboration is often facilitated through virtual meetings, code reviews, and shared documentation platforms, allowing you to work closely with data scientists, engineers, and business analysts despite the remote environment.

What is a Data Science Co-Op Remote position?

A Data Science Co-Op Remote position is a temporary, paid internship where students or early-career professionals work remotely to gain hands-on experience in data science. Co-ops typically last several months and allow participants to work on real-world projects involving data analysis, machine learning, and data visualization. These roles help individuals build practical skills, expand their professional network, and often fulfill academic program requirements. Remote positions allow for flexible work arrangements, enabling participants to collaborate virtually with teams from anywhere.

What are the key skills and qualifications needed to thrive as a Data Science Co-Op (Remote), and why are they important?

To thrive as a Data Science Co-Op (Remote), you need a strong foundation in statistics, programming (Python or R), and data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like Jupyter Notebook, SQL, version control (Git), and cloud platforms, as well as exposure to machine learning frameworks, is highly valuable. Strong communication, problem-solving abilities, and self-motivation are essential soft skills for collaborating effectively in a remote and often cross-functional environment. These skills and qualities enable you to contribute meaningful insights, adapt to remote workflows, and drive impactful data-driven solutions.
What are popular job titles related to Data Science Co Op Remote jobs in Sumter, SC? For Data Science Co Op Remote jobs in Sumter, SC, the most frequently searched job titles are:
Data Science Co Op Remote jobs near you

AI/ML Data Contributor

TSMG

Columbia, SC • Remote

Part-time

Re-posted 4 days ago

Job description

Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.

Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.

Responsibilities
  • Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
  • Participate in remote assignments or attend on-site sessions when required
  • Follow project guidelines and ensure high-quality task completion
  • Provide feedback and input during testing activities
  • Complete tasks within given timelines
Requirements
  • Must be based in the United States
  • Strong attention to detail and ability to follow instructions
  • Basic computer skills and familiarity with digital tools
  • Reliable internet connection and access to a computer or smartphone
  • Availability to participate in task-based work (schedule may vary)
Nice to Have
  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies
What We Offer
  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.