Content Reviewer

Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world's biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine.

By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we're helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.

Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany.

We're excited to share that Innodata Inc. is expanding its AI and Machine Learning talent network, and we are currently looking for a Content Reviewer to review and evaluate online content to help improve AI responses and overall accuracy. The role involves checking content quality, correctness, and proper categorization according to project guidelines.

If you enjoy working with data, pay close attention to detail, and want to contribute to real-world AI innovation, this is an excellent opportunity to be part of a forward-thinking global team.

Job Title: Content Reviewer

Location: Remote / India

Type: Freelance

Required Engagement: 30 hours per week

Rate: INR 450 per hour

Contract Duration: 36 months

Key Responsibilities:

Review digital content and evaluate its quality and accuracy

Help improve AI responses by providing accurate evaluations

Follow project guidelines while reviewing content

Identify errors, inconsistencies, or inappropriate content

Categorize and tag content appropriately

Key Requirements:

Good knowledge of pop culture, brands, and current events

Understanding of taxonomy and content categorization

Familiarity with social media platforms is mandatory

Strong attention to detail and communication skills

Assessment Process:

Candidates will be required to complete the following assessments:

LLM Evaluation Assessment

Pearson Versant Assessment (C1/C2 only)

ICAP MRS Assessment (link will be shared soon)

Candidates who successfully pass all three assessments will be invited for a short interview with the project team.

If you're detail-oriented, tech-curious, and eager to make an impact in the world of AI, we'd love to have you join our growing network.

If Interested, kindly send your resume at: [Confidential Information].