
Data Annotator Intern
2 days ago
Position Overview
We are seeking a motivated and detail-oriented Data Annotator Intern to join our
team. This role involves working closely with our data science and machine
learning teams to support the development and refinement of machine learning
(ML) and deep learning (DL) models through high-quality data annotation. The
intern will play a critical role in preparing and labeling datasets to ensure optimal
model performance.
Key Responsibilities
Accurately annotate and label various types of data (e.g., text, images,
audio, or video) using annotation tools to support ML and DL projects.
Review and ensure the quality and consistency of annotated data, adhering
to project-specific guidelines.
Collaborate with data scientists and engineers to understand annotation
requirements and project objectives.
Identify and flag inconsistencies or errors in datasets, contributing to data
quality improvement.
Assist in documenting annotation processes and maintaining clear records of
labeled datasets.
Stay updated on best practices in data annotation and contribute ideas to
improve workflows.
Basic Requirements
Current enrollment in a bachelor's degree program in Computer Science,
Data Science, or a related field (or equivalent experience).
Basic understanding of machine learning (ML) and deep learning (DL)
concepts, including familiarity with how data impacts model training.
Experience using data annotation tools (e.g., LabelStudio, Prodigy, or similar
platforms) or a willingness to quickly learn annotation software.
Strong attention to detail and commitment to producing high-quality,
accurate annotations.
Basic proficiency in programming languages like Python is a plus but not
mandatory.
Excellent communication skills and ability to work collaboratively in a team
environment.
Ability to manage time effectively and meet project deadlines in a fast-paced
environment.Preferred Qualifications
Familiarity with data formats such as JSON, CSV, or XML.
Basic knowledge of data preprocessing techniques for ML/DL applications.
Interest in artificial intelligence and its real-world applications.
What We Offer
Hands-on experience working on real-world ML and DL projects.
Opportunity to learn from experienced data scientists and engineers.
Exposure to cutting-edge AI technologies and workflows.
Flexible internship schedule (part-time or full-time, depending on
availability).
A collaborative and inclusive work environment.
Application Process
To apply, please submit your resume highlighting your interest in data annotation
and any relevant experience with ML/DL or annotation tools. Applications can be
sent to
Job Type: Full-time
Work Location: In person
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