[Hiring] Content Moderator @Innodata Inc.

Role Description

We are seeking detail-oriented Content & LLM Evaluation Annotators to review public social media content and apply complex classification taxonomies consistently across text, images, carousels, and video.

• Review individual social media posts in their entirety, including captions, images, carousels, video, overlaid text, emojis, hashtags, logos, packaging, and spoken content.
• Watch/Review videos according to the prescribed sampling protocol.
• Apply detailed classification taxonomies covering potentially problematic content, including:
  • Mature themes
  • Body-focused content
  • Suffering and distress
  • Risky behavior
  • Violence
  • Social aggression
  • Other defined categories
• Identify signals associated with suspected branded content.
• Complete reviewability checks and use the appropriate rejection or escalation path when content cannot be accurately assessed.
• Apply multi-select labeling rules precisely, including rules governing mutually exclusive or non-combinable labels.
• Distinguish between similar concepts based on the written specification rather than personal interpretation or assumptions.

Qualifications

• Bachelor's degree
• Previous experience in:
  • Content annotation
  • Content moderation
  • Data labeling
  • Measurement
  • Research labeling
  • Integrity operations
  • Ads review
  • ML training-data programs
• Experience evaluating or analyzing LLM outputs, including model reasoning or failure modes.
• Excellent critical-thinking and judgment skills, particularly when content falls into ambiguous or borderline categories.
• Strong attention to detail across both text and multimedia content.
• Ability to distinguish meaningful contextual signals from superficial indicators.
• Ability to recognize commercial intent without assuming that a tag, logo, mention, or positive statement alone constitutes branded content.
• Comfort working with ambiguous, sensitive, graphic, and distressing material.

Requirements

• The expected hourly salary range for this position is $25p/hour, based on experience, skills, and qualifications.

Important Information

• Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process.
• To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at FTC Job Scams .
• If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at [email protected] and consider reporting it to the FTC at ReportFraud.ftc.gov .