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InnoData

Content Moderator – 2 Month Contract

InnoData

. Review individual social media posts in their entirety, including captions, images, carousels, video, overlaid text, emojis, hashtags, logos, packaging, and spoken content .

Posted 9/24/2026contractRemote • United StatesMid-LevelSenior💰 $25 per hourWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in content moderation and annotation, with a strong focus on critical thinking and attention to detail when evaluating multimedia content. Proficient in applying classification taxonomies and distinguishing between nuanced content signals.

Highest-signal resume keywords
Content Annotation ExperienceCritical Thinking SkillsAttention To DetailContent Moderation ExperienceExperience Analyzing LLM Outputs

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Content ModerationContent AnnotationData LabelingMeasurementResearch LabelingML Training-Data ProgramsEvaluation Of LLM OutputsClassification TaxonomiesMulti-Select Labeling RulesReviewability Checks
Soft Skills
Judgment SkillsAbility To Work With Ambiguous Material
Certifications & Qualifications
Bachelor's Degree
Industry Keywords
Branded ContentMature ThemesBody-Focused ContentRisky BehaviorViolenceSocial AggressionCommercial IntentAmbiguous Content

About the role

Key responsibilities & impact
  • 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, and 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

Requirements

What you’ll need
  • Bachelor's degree
  • Previous experience in content annotation, content moderation, data labeling, measurement, research labeling, integrity operations, ads review, or 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