Online Data Annotation Specialist for AI Models

The Quint

IN (Remote)
  • Full Time

To apply for this job please visit risedatalabs.com.

The Quint is looking for a detail-oriented and tech-savvy Online Data Annotation Specialist for AI Models to join our remote operations team. In this role, you will be responsible for labeling, categorizing, and annotating various datasets — including text, images, audio, and video — to train and improve Artificial Intelligence (AI) and Machine Learning (ML) models.

This position plays a crucial part in enhancing the accuracy and intelligence of our AI-driven systems that support digital media operations, content personalization, and automation. The ideal candidate should have excellent attention to detail, a keen understanding of digital content, and the ability to follow precise guidelines to ensure data accuracy and consistency.

This is a remote work-from-home opportunity, ideal for freshers and early-career professionals who are passionate about technology, data, and artificial intelligence.

Key Responsibilities:

  • Annotate, label, and categorize large datasets accurately according to project-specific guidelines.

  • Work on a variety of AI model training data, including text, images, audio, and videos.

  • Ensure consistency and quality across all annotated data by following annotation standards.

  • Collaborate with AI engineers and project managers to clarify labeling instructions or complex cases.

  • Review and validate datasets to identify errors, inconsistencies, or anomalies.

  • Participate in quality assurance (QA) processes to maintain annotation accuracy and efficiency.

  • Keep track of annotation progress and meet daily or weekly productivity targets.

  • Adapt to new tools, data types, and labeling platforms as project requirements evolve.

  • Provide feedback to improve annotation guidelines and system functionality.

Required Skills and Qualifications:

  • Bachelor’s degree in Computer Science, Information Technology, Data Science, Linguistics, or any related field (students and fresh graduates are welcome).

  • Strong attention to detail, accuracy, and ability to follow structured guidelines.

  • Basic understanding of AI, ML, and data processing concepts (preferred but not mandatory).

  • Proficiency in using digital tools, web-based platforms, and spreadsheets.

  • Good analytical and problem-solving skills with the ability to work independently.

  • Excellent written and verbal communication skills in English.

  • Ability to adapt to repetitive tasks while maintaining high accuracy levels.

  • Comfortable working remotely and meeting deadlines in a virtual environment.

Experience:

  • 0–2 years of experience in data annotation, data entry, content tagging, or a related role.

  • Prior experience with annotation tools (e.g., Labelbox, Prodigy, Amazon SageMaker Ground Truth, or similar) is an added advantage.

  • Freshers with strong analytical and digital skills are encouraged to apply.

Working Hours:

  • Fully remote position with flexible working hours.

  • Standard work schedule: Monday to Friday, 9:00 AM – 6:00 PM (IST).

  • Weekend or extended hours may be required during high-volume annotation cycles.

Knowledge, Skills, and Abilities:

  • Knowledge of data annotation techniques for different modalities (text, image, video, audio).

  • Familiarity with AI/ML concepts such as natural language processing (NLP), computer vision, or speech recognition.

  • Ability to work with repetitive data tasks without loss of focus or accuracy.

  • Basic understanding of digital file formats and metadata.

  • Strong organizational and time management skills.

  • Proactive in identifying issues and suggesting improvements.

  • Collaborative mindset and willingness to learn new tools quickly.

Benefits:

  • Competitive pay structure with performance-based incentives.

  • 100% remote work flexibility – work from the comfort of your home.

  • Opportunity to gain hands-on experience in AI and machine learning workflows.

  • Access to ongoing training and certification programs in AI and data labeling.

  • Career growth opportunities within the expanding field of AI data management.

  • Work with an innovative media-tech company shaping the future of AI in journalism.

  • Supportive and inclusive team culture that values learning and collaboration.

Why Join The Quint:
At The Quint, we’re not just redefining journalism — we’re redefining how technology powers content creation and delivery. Joining our AI and data annotation team means becoming part of a forward-thinking organization that blends media, technology, and data to tell impactful stories.

As an Online Data Annotation Specialist, you’ll play a direct role in improving our AI-driven systems that make digital storytelling smarter and more efficient. This is your chance to develop technical expertise in one of the most in-demand fields while contributing to meaningful projects in the media-tech space.

How to Apply:
If you are detail-oriented, tech-savvy, and eager to start your journey in AI and data operations, we’d love to hear from you!

📧 Submit your updated resume (PDF format) and a short cover letter explaining your interest in AI and data annotation.

Send your application to: careers@thequint.com
Subject Line: Application – Online Data Annotation Specialist for AI Models

Or apply directly through our careers page:
🌐 www.thequint.com/careers

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