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Internship Remote Data Labelling Jobs in Tennessee

Data-Video Generalist Job Type: Contractor Location: Remote - experts based in Alabama, Arkansas ... Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and ...

Remote - experts based in Alabama, Arkansas, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky ... Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and ...

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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 Tennessee? The most popular types of Remote Data Labelling jobs in Tennessee are:
What are popular job titles related to Internship Remote Data Labelling jobs in Tennessee? For Internship Remote Data Labelling jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Internship Remote Data Labelling jobs in Tennessee look for? The top searched job categories for Internship Remote Data Labelling jobs in Tennessee are:
Infographic showing various Internship Remote Data Labelling job openings in Tennessee as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Fall Nashville Marketing Analytics Internship

mtheory

Nashville, TN • On-site, Remote

$14.50 - $19.25/hr

Part-time

Posted 11 days ago


Job description

Location: Nashville, TN
Position Type: Part-time Internship
Internship Length: September 7, 2026 - December 18, 2026
This internship is a fixed-term position lasting 15 weeks, with a maximum of 15 hours per week. It does not guarantee extension or continued employment beyond the program. Candidates must be available for the full duration of the program.
About us:
mtheory provides artist managers with services, support, and capabilities across a wide range of disciplines, including marketing, touring, live event production, financing, digital services, and label services. Some of our manager clients include Backforty Management (Shakey Graves), The Gray Slate (Blackberry Smoke), and artists including Wyatt Flores, Tyler Childers, Jo Dee Messina, Underoath and many more. Based in New York and Nashville, mtheory offers artist managers a platform to build their businesses and enhance their artists' careers.
Our ideal Music Analytics Intern is curious, detail-oriented, and passionate about the intersection of music and data. This individual is eager to analyze streaming performance, audience growth metrics, and digital engagement trends to better understand how artists reach and grow their fanbases. An interest in using data to uncover insights and support strategic decision-making within the music industry is highly valued.
Responsibilities
  • Perform streaming analysis for artist campaigns using platforms such as Spotify for Artists, Apple Music for Artists, Chartmetric, Soundcharts, and more
  • Prepare music release and fan discovery reports for teams to support decision-making
  • Analyze listener behavior, playlist placements, and artist digital platform metrics to inform strategy and campaign planning
  • Monitor trends across digital platforms and music communities

Preferred Skills
  • Strong interest in the music industry, streaming analytics, and data-driven artist growth.
  • Familiarity with digital music and social media platforms
  • Ability to analyze, interpret, and report data in Google Sheets or Excel
  • Curiosity about music consumption patterns, listener behavior, and streaming trends
  • Detail-oriented, self-motivated, and able to work independently as well as collaboratively
  • Previous internship or academic experience in music, analytics, or digital media is a plus

Position Information
  • Internship is part-time; college credit is available, but not required
  • Internship is paid at the minimum wage of the state in which the office the intern is working in
  • Access to a computer and reliable internet connection is required for this position