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Intern Data Annotation Tech Jobs in Boston, MA (NOW HIRING)

NLP/Linguistics Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Babel Street is the trusted technology partner for the world's most advanced identity intelligence ... Experience with data quality evaluation, data annotation, or guideline design, preferably for ...

NLP/Linguistics Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

About the Company Babel Street is the trusted technology partner for the world's most advanced ... Experience with data quality evaluation, data annotation, or guideline design, preferably for ...

Battery R&D Intern

Somerville, MA · On-site

$16.25 - $21.75/hr

About LiftOFF Technology LiftOFF Technology is building the future of batteries with a drop-in ... Data collection, storing, consolidation, and visualization * Work in compliance with safety ...

NLP/Linguistics Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

About the Company Babel Street is the trusted technology partner for the world's most advanced ... Experience with data quality evaluation, data annotation, or guideline design, preferably for ...

About the Company Babel Street is the trusted technology partner for the world's most advanced ... Experience with data quality evaluation, data annotation, or guideline design, preferably for ...

Strength Conditioning Intern

Westwood, MA · On-site

$16.75 - $22.25/hr

Strength and Conditioning Intern Location: 5 Tool Performance -- Westwood, MA Commitment: 3 Days ... Exposure to cutting-edge performance technology and data systems. Real-world application of ...

Strength Conditioning Intern

Westwood, MA · On-site

$16.75 - $22.25/hr

Strength and Conditioning Intern Location: 5 Tool Performance -- Westwood, MA Commitment: 3 Days ... Exposure to cutting-edge performance technology and data systems. Real-world application of ...

Showing results 21-40

Intern Data Annotation Tech information

Is it hard to get hired for data annotation?

Getting hired as a data annotation intern typically requires basic computer skills, attention to detail, and sometimes familiarity with annotation tools. The hiring process is often straightforward, with many companies offering entry-level positions that do not require extensive experience or certifications.

What are some common challenges faced by intern data annotation techs, and how can they overcome them?

Intern Data Annotation Techs often encounter challenges such as maintaining consistency in labeling large datasets and understanding nuanced instructions for annotation tasks. To overcome these hurdles, it's important to ask clarifying questions early on, regularly review annotation guidelines, and participate in team discussions about edge cases. Collaboration with more experienced annotators and feedback from supervisors also help in refining skills and ensuring high-quality data preparation. Developing attention to detail and adaptability will contribute to a successful internship experience.

Does data annotation tech actually pay?

Data annotation technicians are paid for their work, with wages varying based on experience, project complexity, and platform. Many entry-level roles pay hourly or per task, and some companies offer full-time or freelance opportunities with competitive rates. Skills in annotation tools and attention to detail can influence earning potential.

What is the difference between Intern Data Annotation Tech vs Intern Data Labeler?

AspectIntern Data Annotation TechIntern Data Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentData annotation platforms, remote or officeData labeling platforms, remote or office
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Job FocusAnnotating data for training AI modelsLabeling data for machine learning algorithms

Both roles involve preparing data for AI systems, with similar skills and work environments. The main difference lies in terminology; 'Data Annotation Tech' emphasizes technical annotation tasks, while 'Data Labeler' is a more general term. Both are entry-level positions vital for training AI models in the tech industry.

What is an intern data annotation tech?

Intern Data Annotation Techs are entry-level professionals, often students or recent graduates, who support machine learning projects by labeling and categorizing data, such as images, text, or audio. Their work is essential for training AI systems, as accurately annotated data helps algorithms learn to make correct predictions. These interns typically use specialized software tools to tag or classify data according to specific guidelines. The role requires attention to detail, consistency, and sometimes basic technical skills, depending on the complexity of the data and tasks. Internships in data annotation can provide valuable exposure to the fields of artificial intelligence and data science.

Can I do data annotation with no experience?

Intern Data Annotation Tech roles often do not require prior experience, as training is typically provided to teach skills like image or text labeling using annotation tools. Basic computer literacy and attention to detail are usually sufficient to start, making it accessible for beginners. Developing familiarity with annotation software and understanding data quality standards can improve performance in this role.

What are the key skills and qualifications needed to thrive as an intern data annotation tech?

To thrive as an Intern Data Annotation Tech, you need attention to detail, basic data management skills, and familiarity with data labeling concepts, often supported by a high school diploma or ongoing college coursework. Experience with annotation platforms, spreadsheet tools, and sometimes basic scripting languages is helpful. Strong communication, reliability, and the ability to follow detailed instructions are valuable soft skills in this role. These abilities ensure accurate and efficient data labeling, which is critical for training reliable machine learning models.

What are the most commonly searched types of Data Annotation Tech jobs in Boston, MA?

The most popular types of Data Annotation Tech jobs in Boston, MA are:

What are popular job titles related to Intern Data Annotation Tech jobs in Boston, MA?

For Intern Data Annotation Tech jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Intern Data Annotation Tech jobs in Boston, MA look for?

The top searched job categories for Intern Data Annotation Tech jobs in Boston, MA are:

Infographic showing various Intern Data Annotation Tech job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Current PhD - Data Science Internship - Summer 2027

Capital One

Cambridge, MA • On-site

Full-time

Posted 24 days ago


Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

91st of 171 rated banks


Job description

Current PhD - Data Science Internship - Summer 2027

Key Role Details

  • This is a full-time paid internship program spanning ten weeks from June through August 2027.

  • Participation in the internship requires that you are located in the continental United States with in-person attendance at your assigned location, in accordance with Capital One's hybrid working model, for the duration of the program.

  • Interns will be evaluated for a full-time position with their team and will work with their manager on identifying a start date upon graduation

This is a paid internship. This is a limited-time internship position, and Capital One will not sponsor a new applicant for employment authorization for this position. However, a full-time Data Science role, for which you may be considered upon completion of the internship (subject to business need, market conditions, and other factors) is eligible for employer immigration sponsorship.

Basic Qualifications

  • Currently has, or is in the process of obtaining a PhD in one of the following areas with an expectation that the required degree will be obtained by August 2029 or earlier:

    • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)

  • Must be continuing in the same course of study of your PhD degree following completion of the internship

  • At least 6 months experience or academic work using open source programming languages for data analysis

  • At least 6 months of experience or academic work using machine learning techniques

  • At least 6 months of experience with either Python, R or SQL

Preferred Qualifications:

  • Experience or academic work in inferential statistics

  • Experience or academic work with relational databases

  • Experience or academic work with large scale data analysis

Data Science Internship - 2027

As a Data Scientist at Capital One, you'll be part of a high-performing team that's embracing the latest in computing technologies to unlock opportunities that help everyday people save money and improve their financial lives. You'll help our customers solve their financial services challenges by using groundbreaking techniques. You'll make valuable contributions from day one by continuously learning, engaging in diverse sets of experiences, and building close-knit relationships across the company. Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise.

On any given day, you might:

  • Evaluate open-source and internally-developed modeling and analytics tools using real business data

  • Integrate internal data with external data sources and APIs to discover and implement actionable insights

  • Design and craft data science models to communicate solutions to customers and company leadership

We'd love to find someone who is...

  • Intellectually curious. You ask why, you explore, and you are excited to imagine and create new ideas by inventing self-adaptive models or by tapping into unstructured data sources. You love mining data for insights into behaviors, intent and sentiment

  • A builder. You are passionate about delivering better experiences and better products to our customers and have a deep sense of ownership for your craft.

  • An experimental scientist. You love putting on your lab coat and trying new things, new combinations of tools, techniques and feature engineering approaches even if you sometimes fail.

  • A Communicator. You seek to connect with teammates and business partners to share technical ideas that resonate with audience needs across verbal and written channels.

Are you ready to join a community of talented individuals who embrace customer problems and use their passion and capabilities to make a difference every single day? If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey!

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Cambridge, MA: $176,000 - $176,000 for Data Science PhD Intern


Chicago, IL: $160,000 - $160,000 for Data Science PhD Intern


McLean, VA: $176,000 - $176,000 for Data Science PhD Intern


New York, NY: $192,000 - $192,000 for Data Science PhD Intern


Plano, TX: $160,000 - $160,000 for Data Science PhD Intern


Richmond, VA: $160,000 - $160,000 for Data Science PhD Intern


San Francisco, CA: $192,000 - $192,000 for Data Science PhD Intern


San Jose, CA: $192,000 - $192,000 for Data Science PhD Intern




Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


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