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Internship Data Labeling Jobs (NOW HIRING)

... internships. * A machine learning engineer with a Master's or PhD in an AI or ML-related field and ... Model Development - design, build, and maintain the data labeling and enrichment pipeline at the ...

Speakers/Writers

Bend, OR · On-site

$15 - $60/hr

... like data labeling or finding business insights, Labelbox enables teams to do so effectively and ... Please note that this is not an internship opportunity. Candidates must be authorized to work in ...

... like data labeling or finding business insights, Labelbox enables teams to do so effectively and ... Please note that this is not an internship opportunity. Candidates must be authorized to work in ...

... like data labeling or finding business insights, Labelbox enables teams to do so effectively and ... Please note that this is not an internship opportunity. - Candidates must be authorized to work in ...

... like data labeling or finding business insights, Labelbox enables teams to do so effectively and ... Please note that this is not an internship opportunity. Candidates must be authorized to work in ...

Speakers/Writers

Moreno Valley, CA · On-site

$15 - $60/hr

... like data labeling or finding business insights, Labelbox enables teams to do so effectively and ... Please note that this is not an internship opportunity. - Candidates must be authorized to work in ...

Speakers/Writers

Cary, NC · On-site

$15 - $60/hr

... like data labeling or finding business insights, Labelbox enables teams to do so effectively and ... Please note that this is not an internship opportunity. - Candidates must be authorized to work in ...

... like data labeling or finding business insights, Labelbox enables teams to do so effectively and ... Please note that this is not an internship opportunity. Candidates must be authorized to work in ...

... like data labeling or finding business insights, Labelbox enables teams to do so effectively and ... Please note that this is not an internship opportunity. Candidates must be authorized to work in ...

... like data labeling or finding business insights, Labelbox enables teams to do so effectively and ... Please note that this is not an internship opportunity. Candidates must be authorized to work in ...

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Internship Data Labeling information

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$12

$22

$42

How much do internship data labeling jobs pay per hour?

As of Jul 1, 2026, the average hourly pay for internship data labeling in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is the difference between Internship Data Labeling vs Data Labeling Specialist?

AspectInternship Data LabelingData Labeling Specialist
CredentialsTypically students or entry-level with basic skillsRelevant experience or certifications in data annotation
Work EnvironmentInternship programs, often in tech or AI companiesFull-time or freelance roles in data annotation firms or tech companies
Industry UsageUsed as training or entry-level positionProfessional role with ongoing responsibilities
Search & Comparison IntentUnderstanding entry-level opportunities and trainingClarifying professional roles and career progression

Internship Data Labeling is an entry-level position designed for students or beginners gaining experience in data annotation. In contrast, Data Labeling Specialist is a professional role requiring prior experience or certifications, with more responsibility and independence. Internships serve as training grounds, while specialists handle ongoing data labeling tasks in a professional setting.

What types of tasks can I expect to handle daily as a Data Labeling Intern?

As a Data Labeling Intern, your daily tasks typically include reviewing and accurately tagging data such as images, audio, or text according to specific guidelines provided by the company or project. You may use specialized annotation tools and work closely with data scientists, engineers, or QA teams to ensure high-quality, consistent labeling. Attention to detail is crucial, as your work directly impacts the performance of machine learning models. You might also participate in periodic team meetings to discuss challenges, clarify instructions, and receive feedback to improve labeling accuracy.

What is an internship in data labeling?

An internship in data labeling involves assisting in the process of categorizing and annotating data, such as images, text, or audio, to help train machine learning models. Interns typically use specialized software to tag or classify data according to specific guidelines provided by the company or research team. This role is crucial for developing accurate artificial intelligence systems, as high-quality labeled data improves model performance. Data labeling internships are a great way to gain practical experience in the AI and machine learning field and learn more about data preprocessing workflows.

What are the key skills and qualifications needed to thrive as an Internship Data Labeling specialist, and why are they important?

To excel in an Internship Data Labeling role, you need strong attention to detail, basic analytical skills, and proficiency with data entry or spreadsheet tools, often supported by a high school diploma or current university enrollment. Familiarity with labeling platforms, annotation tools, and sometimes basic programming or database systems is beneficial. Reliability, communication, and the ability to follow instructions precisely are key soft skills for standing out in this position. These skills ensure data accuracy and consistency, which are crucial for developing reliable AI and machine learning models.
More about Internship Data Labeling jobs
What cities are hiring for Internship Data Labeling jobs? Cities with the most Internship Data Labeling job openings:
What are the most commonly searched types of Data Labeling jobs? The most popular types of Data Labeling jobs are:
What states have the most Internship Data Labeling jobs? States with the most job openings for Internship Data Labeling jobs include:
Infographic showing various Internship Data Labeling job openings in the United States as of June 2026, with employment types broken down into 14% As Needed, 72% Full Time, and 14% Part Time. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Enterprise Data- Unstructured Data Product Manager

Enterprise Data- Unstructured Data Product Manager

Bloomberg LP

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Key responsibilities

  • Understand client needs, identify improvements and new use cases for unstructured data products.

  • Contribute to defining and executing product development plans across text and other unstructured datasets.

  • Evaluate new unstructured data sources and assess their quality, coverage, and product potential.


Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

11th of 202 rated software companies


Job description

Enterprise Data- Unstructured Data Product Manager
Location
New York
Business Area
Product
Ref #
10052218
Description & Requirements
Enterprise Data at Bloomberg provides machine-readable feeds of news and other unstructured content, as well as AI-powered analytics, including sentiment and more. Text is at the core of what we do today, with audio, imagery, and video increasingly in scope. Our client base includes major hedge funds, asset managers, and investment banks, typically using our feeds and analytics for low latency and intraday trading, market making, quantitative investing, and risk.
What's the role?
We're looking for a charismatic Product Manager to join a growing team of technologists to help drive and execute on product development across our unstructured datasets. You'll bring with you a few years working in a financial or technology firm in the machine learning/quantitative trading domain, along with some programming and data management skills. You'll work alongside seasoned industry professionals, gaining personal development whilst contributing your strong technical skills and a positive, can-do attitude.
We'll trust you to:
• Understand client needs, identify improvements and new use cases
• Contribute to defining product development plans across text and other unstructured datasets
• Drive engineering resources and execute planned development initiatives
• Evaluate new unstructured data sources and assess their quality, coverage, and product potential
• Create and update portfolios of client-facing technical documentation
• Design protocols and tools to facilitate comprehensive product quality checks
• Provide quantitative research to support client testing and onboarding
• Serve as subject matter expert in client discussions, sales meetings, industry events
You'll need to have:
• Bachelor's or graduate degree in business, finance, or engineering-related field
• 5+ years' work experience in a financial or technology company
• Hands-on experience working with unstructured text data - for example NLP, text analytics, large news or document corpora, or LLM-based pipelines
• Knowledge of Python or SQL. Understanding of how ETL pipelines work a plus.
• Understanding of data structures, algorithms, machine learning, quantitative trading.
• Good written and verbal communication skills.
• Sense of humor a plus.
We'd love to see:
• Experience with non-text unstructured data: audio or speech, imagery, or video
• Familiarity with multimodal machine learning, embeddings, or modern foundation models
• Experience building or evaluating data labeling, annotation, or quality pipelines at scale
Salary Range = 140,000 - 295,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

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About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981