Video Data Annotation Intern

0 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Internship

Job Description

Video Data Annotation Intern

Location: Remote

Employment Type: 3 months Internship

 

About the Role

Video

 

Key Responsibilities

  • Accurately

    label, tag, and categorize

    data (images, text, audio, or video) following defined annotation guidelines.
  • Conduct

    quality checks

    on annotated data to ensure consistency and correctness.
  • Collaborate with ML engineers, data scientists, and QA teams to improve annotation standards and workflows.
  • Identify edge cases and ambiguous samples and flag them for review.
  • Contribute feedback to help refine labeling tools and annotation processes.
  • Maintain confidentiality and integrity of sensitive datasets.

 

Required Skills & Qualifications

  • Bachelor’s degree in any discipline (Computer Science, Data Science, Linguistics, or related field preferred).
  • Excellent

    attention to detail

    and ability to follow complex instructions.
  • Strong communication and collaboration skills.
  • Ability to work on repetitive tasks with high accuracy.

 

Good to Have

  • Prior experience with

    image, video, text, or audio annotation

    projects.
  • Familiarity with

    Python

    ,

    JSON

    , or

    Excel-based data workflows

    .
  • Exposure to

    computer vision, NLP

    , or

    speech recognition

    datasets.
  • Experience working in

    data labeling teams

    or

    crowdsourcing platforms

    .
  • Basic understanding of

    AI / ML concepts

    (e.g., training data, labeling, supervised learning).
  • Proficiency with computers and annotation tools (e.g., Label Studio, CVAT, SuperAnnotate, Amazon SageMaker Ground Truth, etc.).

 

 

Benefits for Interns

  • Learn first-hand how annotation affects behaviour of trained ai models.
  • Get experience in video annotation which is cutting edge work in AI Data-Ops Industry.
  • Develop fine eye for most cutting edge problems like deepfakes etc.
  • Get invaluable certificate of experience in an emerging industry.


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