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

We are offering a paid internship to an entry-level person looking to break into tech and startups ... The intern will handle various administrative, research, or data operations tasks for the marketing ...

IT Administrative Support Intern

Howell, NJ ยท On-site

$18 - $19.50/hr

Manage incoming calls and emails related to IT support requests, ensuring accurate intake and ... Maintain and update internal documentation and service systems with accurate, actionable data.

IT Intern

Kearny, NJ ยท On-site

$20/hr

We are looking for a motivated, tech-savvy IT Intern to join our IT team. In this role, you will ... Ability to handle sensitive company data with discretion and maintain confidentiality. Company ...

Showing results 41-60

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 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:
What job categories do people searching Intern Data Annotation Tech jobs in New York look for? The top searched job categories for Intern Data Annotation Tech jobs in New York are:
Infographic showing various Intern Data Annotation Tech job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Product Quality Analyst | Data Curator (JP 3618)

Yoh - A Day & Zimmerman Company

Manhattan, NY โ€ข On-site

$50/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 7 days ago


Job description

Senior Product Quality Analyst | Data Curator

Are you passionate about shaping the future of AI-driven recommendation systems and ensuring product excellence? Join our client' s innovative team as a Senior Product Quality Analyst | Data Curator, where you'll play a pivotal role in elevating the quality of millions of personalized experiences for our global listeners. This embedded role sits at the crossroads of product management, design, data science, and engineering empowering you to influence product development from inception through execution, all while working remotely within the EST time zone.
Job Details:
6 months contract W2
$50 hourly
Remote EST
Required Skills & Qualifications:
  • Proven experience in product quality evaluation, content quality, or data annotation programs
  • Strong analytical skills, capable of working with large datasets and identifying quality patterns
  • Solid understanding of evaluation methodologies and qualitative analysis techniques
  • Familiarity with AI/ML concepts, including how models are trained, evaluated, and the importance of annotated datasets
  • Knowledge of human-in-the-loop evaluation and model assessment, without needing to develop models yourself
  • Excellent communication skills, adept at collaborating with cross-functional teams and influencing product decisions
Nice to Have Skills:
  • Experience with structured evaluation frameworks and process improvement
  • Background in media, music streaming, or related content industries
  • Previous exposure to LLMs, AI evaluation frameworks, or human judgment-based quality assessments
Preferred Education & Experience:
  • Bachelor s degree or higher in a relevant field such as Data Science, Human-Computer Interaction, or a related discipline
  • Several years of experience in product quality, research operations, or AI evaluation within a technology or media environment

Estimated Min Rate: $35.00
Estimated Max Rate: $50.00
What s In It for You?
We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh s extensive talent community that will provide you with access to Yoh s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include:
  • Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)
  • Health Savings Account (HSA) (for employees working 20+ hours per week)
  • Life & Disability Insurance (for employees working 20+ hours per week)
  • MetLife Voluntary Benefits
  • Employee Assistance Program (EAP)
  • 401K Retirement Savings Plan
  • Direct Deposit & weekly epayroll
  • Referral Bonus Programs
  • Certification and training opportunities

Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.
Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Visit ;/strong> to contact us if you are an individual with a disability and require accommodation in the application process.
For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.
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