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Internship Remote Data Labelling Jobs in Boston, MA

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary ... Experience collaborating in remote or hybrid teams (Slack, Zoom, project management boards ...

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary ... Experience collaborating in remote or hybrid teams (Slack, Zoom, project management boards ...

This is a part-time internship requiring approximately 6-7 hours per week. There is potential for ... Strong analytical abilities and a data-first mindset, with a keen interest in performance metrics ...

This is a part-time internship requiring approximately 6-7 hours per week. There is potential for ... Strong analytical abilities and a data-first mindset, with a keen interest in performance metrics ...

This is a part-time internship requiring approximately 6-7 hours per week. There is potential for ... Strong analytical abilities and a data-first mindset, with a keen interest in performance metrics ...

This is a part-time internship requiring approximately 6-7 hours per week. There is potential for ... Strong analytical abilities and a data-first mindset, with a keen interest in performance metrics ...

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Internship Remote Data Labelling information

See Boston, MA salary details

$13

$24

$45

How much do internship remote data labelling jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for internship remote data labelling in Boston, MA is $24.45, according to ZipRecruiter salary data. Most workers in this role earn between $18.80 and $26.63 per hour, depending on experience, location, and employer.

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 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 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 the most commonly searched types of Remote Data Labelling jobs in Boston, MA? The most popular types of Remote Data Labelling jobs in Boston, MA are:
What are popular job titles related to Internship Remote Data Labelling jobs in Boston, MA? For Internship Remote Data Labelling jobs in Boston, MA, the most frequently searched job titles are:
What cities near Boston, MA are hiring for Internship Remote Data Labelling jobs? Cities near Boston, MA with the most Internship Remote Data Labelling job openings:
Infographic showing various Internship Remote Data Labelling job openings in Boston, MA as of May 2026, with employment types broken down into 77% Full Time, 13% Part Time, 1% Temporary, 8% Contract, and 1% Nights. Highlights an 60% Physical, 1% Hybrid, and 39% Remote job distribution, with an average salary of $50,854 per year, or $24.4 per hour.
Data Analyst Internship

Data Analyst Internship

ConnectPrep

Boston, MA • On-site, Remote

Other

This job post has expired today. Applications are no longer accepted.


Job description

About ConnectPrep: Our goal is to redefine "tutoring" - to use data, insight, and our extensive teaching experience find solutions for our students. ConnectPrep is about connecting - connecting students, parents, educators, and the community. We have bold ideas and an eye towards the future.
The Opportunity: We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You'll engage with our team of educators to validate and iterate the models that drive our analytics. Our Data Analysts develop an understanding of our algorithms, the technologies and platforms that support our products, and our proprietary educational content. This knowledge will then be synthesized into actionable tests to build modules that will assist in identifying the academic needs of each individual student. You will engage with team members that think outside of the box, with the goal of improving education through the creation of a data infrastructure and insightful analytics.
Requirements
What we are looking for:
  • Core skills
  • You enjoy creative problem solving and working with messy, real-world data.
  • You have strong math/quantitative skills and excellent attention to detail.
  • You are curious about how data can improve learning and student outcomes.
  • Academic & technical background
    • You are studying (or have studied) Applied Mathematics, Statistics, Computer Science, Data Science, or a related field.
    • You have some coding experience and a strong interest in technology and AI.
    • You have experience with at least one of the following:
    • SQL, Python data tools (Pandas, NumPy, or similar)
    • Building simple data pipelines or analysis scripts in Python
  • Excel & analysis skills
  • You are comfortable doing serious work in Excel, including several of the following:
  • Advanced formulas and functions
  • Tables and formatting
  • Conditional formatting
  • Advanced charting and visualizations
  • Pivot tables and pivot reporting
  • Using Excel productively for analysis, not just basic spreadsheets
  • Data tables, simulations, and Solver
  • (Bonus) VBA and macros
  • AI, data, and analytics work you will support
  • Work with AI tools and workflows to support data-driven decision-making
  • Perform data mining and cleaning from multiple sources (web, internal trackers, marketing platforms)
  • Support projects involving AI and chatbot development for ConnectPrep's programs and website
  • Conduct SEO and keyword research to identify growth opportunities and track performance
  • Analyze website analytics (traffic, engagement, conversions) and prepare simple dashboards or summary reports
  • Assist with data analysis for marketing campaigns, content performance, and business operations
  • Help test, document, and iterate on new data and AI workflows as they are developed
  • Nice to have
  • Prior internship or project experience in data analysis, business intelligence, or marketing analytics
  • Familiarity with web analytics and marketing tools (for example, Google Analytics, GA4, Search Console, Looker Studio, or similar platforms)
  • Experience visualizing data in tools such as Tableau, Power BI, or Data Studio
  • Experience working with SEO tools or keyword platforms
  • Experience collaborating in remote or hybrid teams (Slack, Zoom, project management boards)

Benefits
Why join ConnectPrep?
  • Get in on the ground floor of an exciting new company, with the potential to help shape our direction
  • Be involved with a team that has bold ideas, with the goal of reinventing education across the globe
  • Gain valuable experience, meet technology innovators, and learn about the business side of our company

Sound Interesting?
Please submit your resume and letter of interest at careers@connectprep.com.
All applicants must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer. ConnectPrep is an equal opportunity employer EEO/M/F/D/V.