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Internship Remote Data Labelling Jobs in Virginia

... for remote work to be determined by the program manager and customer. Essential Functions ... Data Scientist with 4 years of experience including experience in applied NLP, data labeling ...

Scientific Data Analyst

Vienna, VA · On-site +1

$85K - $115K/yr

This role will be 100% remote for the foreseeable future. In this role, you will manage and analyze ... Identify errors/omissions of variable formats or labels. * Document problems and proposed ...

Experience analyzing real world data through coursework, thesis research, internships, or work ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

Experience analyzing real world data through coursework, thesis research, internships, or work ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

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Internship Remote Data Labelling information

What are the key skills and qualifications needed to thrive as an Internship Remote Data Labelling professional, and why are they important?

To excel as an Internship Remote Data Labelling professional, you need strong attention to detail, basic computer literacy, and familiarity with data annotation processes, often requiring at least a high school diploma or equivalent. Experience with data labelling platforms such as Labelbox or Supervisely, and understanding file formats like CSV or JSON, are commonly expected. Reliability, time management, and effective communication are important soft skills for remote collaboration and meeting deadlines. These competencies ensure high-quality, consistent data labelling that supports accurate machine learning model development.

What is the difference between Internship Remote Data Labelling vs Data Annotation Specialist?

AspectInternship Remote Data LabellingData Annotation Specialist
CredentialsTypically students or entry-level with basic computer skillsOften requires experience or training in data annotation tools
Work EnvironmentRemote, flexible hours, internship settingRemote or on-site, professional setting
Employer & IndustryTech companies, AI startups, research projectsAI, machine learning, data services companies
Search & Comparison IntentLearning opportunity, entry-level roleProfessional data labeling work, career development

Internship Remote Data Labelling typically involves entry-level, temporary roles focused on training and learning, often suitable for students. Data Annotation Specialists are more experienced professionals performing detailed labeling tasks for ongoing projects. While both roles involve data labeling, the internship emphasizes skill development, whereas the specialist role centers on professional expertise.

What are some typical challenges faced by remote data labelling interns, and how can they be addressed?

Remote data labelling interns often encounter challenges such as managing repetitive tasks, maintaining high accuracy, and communicating effectively with team members across different time zones. To address these, it's helpful to establish a structured daily routine, regularly review quality guidelines, and use collaboration tools like Slack or Teams to stay connected. Seeking timely feedback from supervisors and participating in virtual team check-ins can also improve both efficiency and data consistency.

What is an Internship Remote Data Labelling job?

An Internship Remote Data Labelling job involves reviewing and tagging data—such as images, text, or audio—from a remote location to help train machine learning algorithms. Interns in this role classify, annotate, or categorize raw data according to specific guidelines provided by the employer or project. This work is crucial for improving the accuracy of AI models, as properly labeled data enables better learning outcomes. Remote data labelling internships are ideal for students or recent graduates looking to gain experience in AI, data science, or related fields while working from anywhere.
What are the most commonly searched types of Remote Data Labelling jobs in Virginia? The most popular types of Remote Data Labelling jobs in Virginia are:
What cities in Virginia are hiring for Internship Remote Data Labelling jobs? Cities in Virginia with the most Internship Remote Data Labelling job openings:

Data & AI Finance Strategy Intern - Fall 2026 Internship Remote

Sentara Healthcare

Virginia Beach, VA • On-site, Remote

$16.75 - $22/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Sentara Health rating

6.9

Company rating: 6.9 out of 10

Based on 395 frontline employees who took The Breakroom Quiz

453rd of 887 rated healthcare providers


Job description

City/State
Virginia Beach, VA
Work Shift
First (Days)
Overview:
Location: Remote - See remote requirements below before applying
Hours per week: 30-40
Duration: 8-10 weeks
For positions that are available as remote work, Sentara Health employs associates residing ONLY in the following states:
Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.
Sentara Health has several Fall 2026 Internship opportunities. Before applying, please review the job description to ensure the role aligns with your academic program or area of interest. We encourage you to apply if your coursework or experiences connect to the work described below.
During this internship you will turn data into meaningful insights that drive better healthcare decisions. You'll work alongside data engineering professionals to build and validate data pipelines, analyze healthcare and business data, create dashboards and reports, and explore modern technologies like Databricks and Lakehouse platforms. Throughout the internship, you'll contribute to real-world projects and complete a capstone project showcasing your impact on data quality, automation, or analytics. Ideal for students interested in data analytics, data engineering, business intelligence, computer science, or healthcare technology.
Responsibilities:
    • Assist with budget planning, forecasting, and financial tracking for Enterprise Data & AI initiatives.

    • Analyze technology spend across platforms such as Databricks, Fivetran, DataHub, cloud services, and related vendor solutions.

    • Develop dashboards and reports to monitor operational and financial performance of Data & AI programs.

    • Support vendor management activities including contract tracking, renewal planning, license utilization, and spend optimization.

    • Assist in preparing business cases, cost-benefit analyses, ROI assessments, and investment recommendations for new technology initiatives.

    • Partner with Data Engineering, Governance, Analytics, and AI teams to collect and analyze operational metrics.

    • Help establish financial governance processes, chargeback/showback models, and technology consumption reporting.

    • Conduct market research and benchmarking on emerging Data, Analytics, and AI technologies and industry trends.

    • Prepare executive-level presentations, summaries, and reporting materials for leadership discussions.

    • Support special projects related to Data Platform Modernization, AI adoption, Data Governance, and operational excellence.

Education
  • Must be currently pursuing and/or enrolled in a graduate level program (Required)

The pay range offered for this role is: 16.35/hr - 23.08/hr.
Benefits: Caring For Your Family and Your Career
Medical, Dental, Vision plans
• Adoption, Fertility and Surrogacy Reimbursement up to 10,000
• Paid Time Off and Sick Leave
• Paid Parental & Family Caregiver Leave
• Emergency Backup Care
• Long-Term, Short-Term Disability, and Critical Illness plans
• Life Insurance
• 401k/403B with Employer Match
• Tuition Assistance - 5,250/year and discounted educational opportunities through Guild Education
• Student Debt Pay Down - 10,000
• Reimbursement for certifications and free access to complete CEUs and professional development
• Pet Insurance
• Legal Resources Plan
• Colleagues have the opportunity to earn an annual discretionary bonus if established system and employee eligibility criteria is met.
Sentara Health is an equal opportunity employer and prides itself on the diversity and inclusiveness of its close to an almost 30,000-member workforce. Diversity, inclusion, and belonging is a guiding principle of the organization to ensure its workforce reflects the communities it serves.
In support of our mission "to improve health every day," this is a tobacco-free environment.
For positions that are available as remote work, Sentara Health employs associates in the following states:
Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.

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