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Internship Remote Data Labelling Jobs in New York

Fundraising Officer - Intern

Manhattan, NY · Remote

$15.25 - $20.50/hr

Fundraising Officer Interns will work under the direction of the Director of Global Operations ... Provide data collection and research including tracking all forms of funding sources * Develop ...

Claims Intern

Morristown, NJ · On-site +1

$15.50 - $20.50/hr

... data collection as part of broader efforts to provide underwriting with account-specific ... Coaction's internship program does NOT offer remote work. Our internship roles are 5 days a week in ...

You will draw upon your strong mathematic, technical, and problem-solving skills to analyze data ... Coaction's internship program does NOT offer remote work. Our internship roles are 5 days a week in ...

New

Senior Early Careers Recruiter

Manhattan, NY · On-site +1

$90K - $140K/yr

... data-driven decision making to build high-quality early talent pipelines. The position exists to ... Own full-cycle recruiting for internship, graduate, and early talent hiring (0-3 years of ...

Showing results 41-60

Internship Remote Data Labelling information

What are the key skills and qualifications needed to thrive as an internship remote data labelling professional?

To excel as an Internship Remote Data Labelling professional, you need strong attention to detail, basic computer literacy, and familiarity with data annotation processes, often requiring at least a high school diploma or equivalent. Experience with data labelling platforms such as Labelbox or Supervisely, and understanding file formats like CSV or JSON, are commonly expected. Reliability, time management, and effective communication are important soft skills for remote collaboration and meeting deadlines. These competencies ensure high-quality, consistent data labelling that supports accurate machine learning model development.

What is the difference between Internship Remote Data Labelling vs Data Annotation Specialist?

AspectInternship Remote Data LabellingData Annotation Specialist
CredentialsTypically students or entry-level with basic computer skillsOften requires experience or training in data annotation tools
Work EnvironmentRemote, flexible hours, internship settingRemote or on-site, professional setting
Employer & IndustryTech companies, AI startups, research projectsAI, machine learning, data services companies
Search & Comparison IntentLearning opportunity, entry-level roleProfessional data labeling work, career development

Internship Remote Data Labelling typically involves entry-level, temporary roles focused on training and learning, often suitable for students. Data Annotation Specialists are more experienced professionals performing detailed labeling tasks for ongoing projects. While both roles involve data labeling, the internship emphasizes skill development, whereas the specialist role centers on professional expertise.

What are some typical challenges faced by remote data labelling interns, and how can they be addressed?

Remote data labelling interns often encounter challenges such as managing repetitive tasks, maintaining high accuracy, and communicating effectively with team members across different time zones. To address these, it's helpful to establish a structured daily routine, regularly review quality guidelines, and use collaboration tools like Slack or Teams to stay connected. Seeking timely feedback from supervisors and participating in virtual team check-ins can also improve both efficiency and data consistency.

What is an internship remote data labelling?

An Internship Remote Data Labelling job involves reviewing and tagging data—such as images, text, or audio—from a remote location to help train machine learning algorithms. Interns in this role classify, annotate, or categorize raw data according to specific guidelines provided by the employer or project. This work is crucial for improving the accuracy of AI models, as properly labeled data enables better learning outcomes. Remote data labelling internships are ideal for students or recent graduates looking to gain experience in AI, data science, or related fields while working from anywhere.

What are popular job titles related to Internship Remote Data Labelling jobs in New York?

For Internship Remote Data Labelling jobs in New York, the most frequently searched job titles are:

What job categories do people searching Internship Remote Data Labelling jobs in New York look for?

The top searched job categories for Internship Remote Data Labelling jobs in New York are:

What cities in New York are hiring for Internship Remote Data Labelling jobs?

Cities in New York with the most Internship Remote Data Labelling job openings:

Fundraising Officer - Intern

IIRR

Manhattan, NY • Remote

$15.25 - $20.50/hr

Other

Re-posted 25 days ago


Job description

IIRR is one of the world’s leading rural development NGOs. Founded in 1960, IIRR’s programs have impacted more than 68 million rural lives across five continents. The organization’s programs address the health, education, and environmental conditions of rural communities and prioritizes the delivery of sustainable and scalable solutions that empower people to improve their lives and livelihoods. IIRR currently maintains offices in Africa, Asia, and North America.    

IIRR is looking for intelligent, strategic, and resourceful thinkers to help the organization expand and strengthen its fundraising efforts. Fundraising Officer Interns will work under the direction of the Director of Global Operations.  

This is an unpaid internship but available for class credits. We have two internship models:  

(i) full-time - requires a 5 days (40 hours) a week commitment of 3 months   

(ii) part-time - required 3 to 4 days (20 hours) a week commitment of 6 months. 

Please note that internship hours must be scheduled during regular New York/East Coast business hours. 

 

Responsibilities may include one or more of the following:  

  • Provide data collection and research including tracking all forms of funding sources
  • Develop letters, fact sheets, and other informational materials about IIRR and its projects and programs for potential donors
  • Proofread and edit letters of intent and grant proposals
  • Assist with updating and maintaining IIRR donor database
  • Research potential major donor prospects and assist with donor outreach and cultivation
  • Research leads for potential donors and creating donor profiles
  • Draft communications such as new donor mailings, appeals, and thank you letters
  • Maintain online donation portals and keep up to date
  • Support in grant proposals either through research and writing
  • Assist other departments and interns accomplish tasks as needed

 Requirements: 

  • Bachelor’s degree in any discipline (completed prior to internship start date)
  • Well-organized, reliable, and self-motivated  
  • Helpful and responsive (e.g., when dealing with ad-hoc requests for providing support)
  • Resourceful, creative, who enjoys problem-solving 
  • Impeccable writing skills with meticulous attention to detail and organizational skills 
  • Curiosity, creativity, and fearlessness in contributing new and bold ideas 
  • Exceptional interpersonal skills 
  • Ability to meet deadlines and effectively multi-task 
  • A willingness to fail fast and forward while respecting and valuing input from a global and diverse team 
  • Ability and willingness to work in a startup culture that may require fluidity in roles from week to week  
  • Intermediate experience with MS Word, Excel, PowerPoint, Google Applications 
  • Responsive to manager’s feedback, ability to take direction and execute work independently with minimal oversight in a remote working environment
  • Passionate about making a positive difference


Application Instructions:

Submit resume/CV, cover letter (indicating preference for part-time or full-time placement), and contact information for three references.

Applications will be reviewed on a rolling basis until the position is filled. 

No calls, please. If you have not received a response from us in two weeks, you should assume that your application was not successful on this occasion. 


 

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