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Internship Data Labeling Jobs (NOW HIRING)

A&R Discovery Intern

Los Angeles, CA · On-site

$16.25 - $21.50/hr

The company operates as a record label, distribution company, and entertainment network which ... Interns must be eligible to work in the U.S. and available for 10-20 hours per week over a 3-4 ...

Prepare, review, and audit all data entry for month-end closing. Prepare month-end inventory report ... Handle FedEx tasks, including perparing shipping labels, receiving incoming packages, and ...

Prepare, review, and audit all data entry for month-end closing. Prepare month-end inventory report ... Handle FedEx tasks, including perparing shipping labels, receiving incoming packages, and ...

Prepare, review, and audit all data entry for month-end closing. * Prepare month-end inventory ... Handle FedEx tasks, including perparing shipping labels, receiving incoming packages, and ...

$16.25 - $21.50/hr

TikTok continues to unlock opportunities for artists and labels, with an engaged community who love ... Prior internship experience in music, marketing, tech, or entertainment * Passion with Music. Deep ...

Be Seen First

At American Tape & Label, we don't just manufacture label and sticker products - we create ... Internship or project experience Soft Skills * Strong communication skills * Team-oriented mindset

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Internship Data Labeling information

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$12

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$42

How much do internship data labeling jobs pay per hour?

As of Jul 23, 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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Internship - Paid Sustainability Graduate Internship

Internship - Paid Sustainability Graduate Internship

Lactalis USA

Bedford, NH • On-site

$22.50/hr

Other

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


Lactalis USA rating

7.9

Company rating: 7.9 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

88th of 401 rated food and drinks producers


Job description

We aren't just yogurt on a mission; we are people on a mission.

Stonyfield Organic, siggi's, Brown Cow and Green Mountain are brands of Lactalis US Yogurt. The Lactalis Group is the #1 dairy company in the world with over 85,000 employees in 94 countries. The company has not forgotten the mission of its founder and remains committed to offering high-quality and delicious dairy products that bring families together around the world. At Lactalis US, we use local milk at each of our production facilities to make the products you know and love. We approach our work with an entrepreneurial spirit and love of dairy akin to the spirit of our founder.

Our company is an authentic community that takes care of us, we take care of one another, and together we work for the health and well-being of others. Our community offers unique opportunities that you will not find anywhere else. We are looking for positive, productive people to join in making contributions to our growing team!

Key Accountabilities

  • Assist with execution of Stonyfield's agriculture strategy for reducing GHG emissions in line with our Science-Based Target. This position will focus on data collection and entry for farm-level carbon footprinting using the Cool Farm Tool platform. Create summary & individualized Cool Farm Tool result reports for farmer facing audience and update milk emission factor to support carbon inventory accounting.
  • In collaboration with Sustainable Agriculture Manager and National Fish and Wildlife Foundation staff (lead grant partner), prepare outreach materials and events to engage direct supply farms located in Vermont with manure management grant through USDA Regional Conservation Partnership Program. Track Stonyfield supplier engagement and support grant application completion.
  • As part of Stonyfield's OpenTEAM engagement, assist with farmer adoption of tech tools like grazing record keeping apps and data collection for GHG models including Cool Farm Tool and Regrow's MRV platform. In coordination with Wolfe's Neck Center (WNC), onboard farms into WNC's USDA Partnership for Climate Smart Commodities program, setting up contracts with farmers to implement grant-funded regenerative practices.
  • Support other aspects of the sustainable agriculture strategy for the full Lactalis US Yogurt milk supply. This includes organic, conventional, and non-GMO milk sourced for Brown Cow, siggi's, Green Mountain, and private label brands.
  • As needed, conduct literature reviews and outreach to researchers on relevant topics including efficacy of biochar, agroforestry, and feed additives to reduce enteric fermentation as pathways for reducing organic dairy farm GHG emissions.
  • Schedule permitting, assist the Lactalis US Yogurt sourcing and sustainability teams with other projects related to organic transition planning for prospective Stonyfield direct supply farms, organic training, and sustainability in other agricultural ingredient supply chains.
Requirements
  • Enrolled in graduate study in agriculture or a related field.
  • Experience or interest in responsible sourcing programs related to environmental and social impacts of agricultural supply chains
  • Experience or interest in research in areas relevant to agricultural greenhouse gas emissions mitigation.
  • Experience with farm level data collection and database management; interest in using technology to build knowledge networks and advance agricultural sustainability
  • Strong interpersonal skills and public communication abilities especially with diverse audiences, as well as writing and analysis skills
  • Farming experience, or experience working with farmers, a plus
  • Strong organizational abilities, time management skills and ability to work independently
  • Ability and willingness to travel independently to farms around New England (Maine, New Hampshire, Vermont, and eastern New York) and to the Londonderry, NH office as needed.

Compensation

For New York City based interns the rate of pay is $22.50/hour.

When applying to this job we ask that you please submit both a Resume and Cover Letter.

Lactalis is an equal employment opportunity employer. We will not discriminate against applicants with regard to any legally recognized basis including, but not limited to: veteran status, race, color, religion, sex, national origin, age, marital status, sexual orientation, and physical or mental disabilities.


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