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Intern Data Annotation Tech Jobs in New York (NOW HIRING)

Data Analytics BLP Internship Experience: What You'll Accomplish This internship is for students ... This means you'll gain a solid understanding of functions like Marketing, Risk, Credit, Technology ...

The Data Research and Collection Intern collects and interprets data for our customers affected by ... At Workiva, you'll bring technology to market that executives, boards, and regulators depend on.

The Data Research and Collection Intern collects and interprets data for our customers affected by ... At Workiva, you'll bring technology to market that executives, boards, and regulators depend on.

The Data Research and Collection Intern collects and interprets data for our customers affected by ... At Workiva, you'll bring technology to market that executives, boards, and regulators depend on.

The Data Research and Collection Intern collects and interprets data for our customers affected by ... At Workiva, you'll bring technology to market that executives, boards, and regulators depend on.

The Data Research and Collection Intern collects and interprets data for our customers affected by ... At Workiva, you'll bring technology to market that executives, boards, and regulators depend on.

The Data Research and Collection Intern collects and interprets data for our customers affected by ... At Workiva, you'll bring technology to market that executives, boards, and regulators depend on.

The Data Research and Collection Intern collects and interprets data for our customers affected by ... At Workiva, you'll bring technology to market that executives, boards, and regulators depend on.

Showing results 21-40

Intern Data Annotation Tech information

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.

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 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.

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.

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 skills 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 job performance over time.

Does data annotation tech actually pay?

Data annotation technicians are paid for their work, with wages typically ranging from minimum wage to higher rates depending on experience, complexity of tasks, and the employer. Payment is usually hourly or per task, and some roles may require basic skills in data labeling tools or software. Compensation varies by company and location but generally provides a reliable income for entry-level positions.

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. Many positions are entry-level and may not require extensive experience, making the application process relatively accessible for beginners. However, competition can vary depending on the company and location.

What are the most commonly searched types of Data Annotation Tech jobs in New York?

The most popular types of Data Annotation Tech jobs in New York are:

What are popular job titles related to Intern Data Annotation Tech jobs in New York?

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

Infographic showing various Intern Data Annotation Tech job openings in New York as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 14% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

AI Training Specialist - Japanese Linguist

Manhattan, NY • On-site

BAM Ventures
Investment Clubs and Venture Capital Companies • 1 - 10 employees

Other

Posted 27 days ago


Job description

About Rise Data Labs

Rise Data Labs is a leading AI training and data annotation company that specializes in creating high-quality training data for artificial intelligence systems. We work with top AI companies and research institutions to improve machine learning models through expert human annotation and validation.

Our team of domain specialists, subject matter experts, and quality assurance professionals work across various fields including economics, finance, psychology, computer science, business, mathematics, chemistry, physics, and engineering. We pride ourselves on our attention to detail, domain expertise, and commitment to delivering accurate, high-quality training data.

At Rise Data Labs, we believe in the power of human expertise to enhance AI capabilities. We offer our team members the opportunity to work on cutting-edge AI projects while contributing their specialized knowledge to advance the field of artificial intelligence. Our flexible, remote-first approach allows experts from around the world to participate in shaping the future of AI.

Job Overview

We are seeking a detail-oriented AI Training Specialist fluent in Japanese to join our team at Rise Data Labs. In this role, you will leverage your linguistic expertise and attention to detail to train and improve AI models through data annotation and labeling. You will play a crucial role in reviewing and validating AI-generated content for accuracy, ensuring high-quality data for machine learning applications.

Key Responsibilities
  • Annotate and label data sets to train AI models effectively.
  • Review AI-generated content for accuracy and relevance.
  • Provide domain expertise to enhance AI model performance.
  • Collaborate on various AI training projects across different fields.
  • Ensure high-quality data for machine learning applications.
Required Skills and Qualifications
  • Fluency in Japanese (both written and spoken).
  • Strong attention to detail and commitment to quality assurance.
  • Experience with data annotation and AI training processes.
  • Ability to work independently and manage time effectively.
  • Basic understanding of machine learning concepts.
Preferred Qualifications
  • Experience in linguistics or language processing.
  • Familiarity with AI tools and software.
  • Previous experience in a similar role within the tech industry.
What We Offer

At Rise Data Labs, we value our employees and offer competitive compensation, flexible working hours, and opportunities for professional growth. Join us and be part of a dynamic team dedicated to advancing AI technologies!

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BAM Ventures logo

About BAM Ventures

Sourced by ZipRecruiter

Industry

Investment clubs and venture capital companies

Company size

1 - 10 Employees

Headquarters location

Santa Monica, CA, US

Year founded

2014