AI Data Annotation Intern

Posted Yesterday
Hiring Remotely in United States
Remote
Internship
Artificial Intelligence • Computer Vision • Machine Learning • Natural Language Processing
The Role
Label and outline plants in agricultural images using an online tool, tag crop and weed types per guidelines, maintain high accuracy across many images. Remote, flexible internship (3 months) with a monthly stipend and completion certificate. No coding or prior labeling experience required; video tutorials provided.
Summary Generated by Built In

Responsibilities 💼

  • Precisely draw outlines around plants in agricultural images using a simple online labeling tool.

  • Identify and tag different crop and weed types across multiple images using the provided guidelines.

  • Maintain precision and attention to detail while labeling multiple images per day.

  • No coding, no technical background required — if you can use a mouse and pay close attention, you can do this work.

Benefits✨

  • Internship Completion Certificate in AI Data Annotation

  • Monthly stipend. This is an internship program, not a full-time or part-time job.

  • Flexible work timings + Remote (Work from Home)

  • Gain hands-on experience in image annotation tools and workflows

  • Valuable career exposure to the fastest-growing field of Computer Vision and Data Labeling

Qualifications 🎓

  • ⚠️Working hours: 6 hours per day (estimated), 6 days a week. Work timings are flexible. Please apply only if you are ready to commit to this schedule.

  • Internship period: 3 months

  • Open to students from any background — B.Com, BA, BBA, BSc, BCA, B.Tech, diploma holders, and others

  • Comfortable using a computer and image editing tools

  • Access to a reliable internet connection

  • No prior experience in labeling is needed, as video tutorials will be provided

Why this opportunity? 💡

  • Work on a real AI data project and contribute to the data that powers leading autonomous robots in the US and Europe.

  • Gain real, paid work experience in one of the fastest-growing areas of the AI space

  • Internship Certificate from an AI technology startup specializing in Computer Vision and AI Data

  • Gain hands-on computer vision labeling experience in image labeling tools and workflows for agricultural use cases

  • Work fully from home on your own schedule — no commute, no fixed shift

  • Data Scientists spend 80% of their time preparing data, including labeling data during the AI development phase. This is a big problem for AI companies, and you will be involved in that crucial stage.

About us

Klatch is an AI data company addressing today's most critical challenge in AI development: the need for high-quality, diverse data. Our award-winning Data Annotation and Data Curation services are tailored to fuel innovation across Computer Vision, ML, and NLP LLM applications. We are seeking Interns for our AI Data Annotation Services team. We work with Interns from all academic backgrounds — what matters to us is reliability, focus, and a willingness to do the work.

Our Impact: Recognized in Slator's 2024 Top Language AI Firms under the Data for AI segment, Klatch has established itself as an essential partner for enterprises pushing the boundaries of AI. We were also nominated for Startup of the Year 2024 by HackerNoon in the AI and IT Services segment.

Skills Required

  • Commit to working approximately 6 hours per day, 6 days a week
  • Internship duration of 3 months
  • Comfortable using a computer and image editing tools
  • Access to a reliable internet connection
  • Willingness to follow labeling guidelines and maintain attention to detail
  • Open to students from any academic background
  • No prior labeling experience required; video tutorials provided
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The Company
0 Employees
Year Founded: 2021

What We Do

Klatch Technologies is a global AI data solutions provider that helps enterprises collect, annotate, and process high-quality, diverse data to fuel AI development. They specialize in data labeling, collection, and synthetic data generation for Computer Vision, Machine Learning, and Natural Language Processing (NLP) projects, ensuring rapid scalability, precise accuracy, and data security for their clients.

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