Native-speaker moderator pool sized per locale, includes rare and accented pairs
Content moderation services
Scope content moderation with policy, target languages, and reviewer escalation settled first.
Moderate user-generated content (UGC), advertising, and AI model outputs against the client's trust and safety policy in 250+ languages with policy rubric, reviewer escalation, mental-health protections for moderators, and audit reporting settled in writing.
Upload files for a quote
Short form: name, work email, data type, locale notes, and sample files or links if ready.
Hate, harassment, sexual content, violent extremism, self-harm, IP, spam, scam, regulated
Rest breaks, content rotation, and mental-health support resources for moderators
Per-decision audit reporting with reviewer rationale and escalation tier
Dynamic Dialects supports requests across 250+ languages with ISO 9001/27001 operating controls, ISO 17100 applied to translation scopes, 40,000+ vetted linguists, named project coordination, and written confirmation before production work begins.
Evidence for review
What DD can show before a buyer commits.
This is not a public case study claim. It is DD-owned evidence a buyer can request when the work needs vendor review before a scope is approved.
Ask for proof details- Buyer type
- Content moderation services buyer, vendor manager, or operations lead qualifying DD before sending a live requirement.
- Problem
- The buyer needs scope content moderation with policy, target languages, and reviewer escalation settled first. scoped by files, audience, language pair, deadline, recipient rules, and review process before quote approval.
- Scope
- Content moderation services work coordinated by DD with written request review, named PM ownership, and review records matched to the request type.
- Constraint
- This page cannot rely on a public case study yet; it must point to DD-owned proof artifacts and disclosure-safe process evidence.
- DD action
- DD confirms the inputs, missing details, staffing option, quality check, and delivery record before production work begins.
- Evidence available
- Private proof can include a request-specific checklist, redacted QA summary format, delivery record format, and sourcing or reviewer notes.
- Outcome
- The buyer can judge whether DD fits the requirement before sending production files or adding this service to a vendor shortlist.
- Disclosure status
- DD-owned proof only. Public outcomes require client approval; redacted process artifacts can be shared when terms allow.
How the work runs
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Scope the policy
Policy categories, target locales, volume forecast, SLA per decision tier, escalation tiers, and wellness protocol settled in writing first.
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Calibrate the rubric
Native-language moderators work the calibration set with reviewers. IAA score per locale recorded. Wellness protocol training completed.
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Moderate with reviewer-grade QA
T1 moderators decide clear-cut cases against the calibrated rubric. Borderline cases escalate to T2 reviewers per the escalation tier.
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Honor the wellness protocol
Rest breaks, content rotation across distress-level tiers, peer support sessions, mental-health resource access logged per moderator shift.
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Audit and report
Per-decision audit records with policy reference, decision tier, and reviewer rationale archived. Wellness compliance reported alongside the audit pack.
Each content moderation program starts with a written specification confirming policy scope (hate speech, harassment, sexual content, child sexual abuse material with NCMEC reporting alignment, violent extremism, terrorism content, self-harm content, misinformation, copyright and IP violation, spam, scam, regulated industry content), target languages and locales (with regional and dialectal coverage), reviewer rubric and edge-case guidance with calibration sample set, IAA score target, moderator wellness protocol (rest breaks and content rotation with mental-health support resources), reviewer escalation tiers, and audit reporting format. Moderators work the calibrated rubric with reviewer-grade QA on every decision band before the action is finalized.
For annotation work, DD checks label definitions, examples, sample review needs, and output format before quoting.
What this page helps you send
- User-generated content (UGC) moderation across social media, marketplaces, gaming, dating, and community platforms.
- Advertising content review for policy compliance per platform and per regulated industry.
- AI model output review for hallucination, harmful content, prompt injection, and policy-violating output.
- Hate speech, harassment, and abuse detection in 250+ languages with native-speaker context awareness.
- CSAM detection and NCMEC reporting alignment with mandatory escalation protocols.
What you receive
- Moderation decisions with reviewer rationale per item in the agreed audit format.
- Escalation queue for borderline cases passed to T2 reviewers or T3 specialists per the escalation tier.
- Per-language IAA reporting and reviewer calibration log for ongoing program governance.
- Audit-ready decision archive with policy reference, decision tier, and rationale per item.
- Moderator wellness compliance reporting (rest breaks taken, content rotation logs, mental-health resource access).
Questions teams ask first
Which policy categories are covered?
Standard coverage spans hate speech, harassment and abuse, sexual content and nudity, child sexual abuse material (CSAM) with NCMEC reporting alignment, violent extremism and terrorism content, self-harm and suicide content, misinformation and synthetic media, copyright and IP violation, spam and scam, and regulated industry content (financial promotion, pharmaceutical, gambling, age-restricted goods). The policy scope is confirmed per client during program scoping.
How is moderator wellness handled?
Moderators reviewing high-distress content (CSAM, violent extremism, severe self-harm) work under a wellness protocol that includes mandatory rest breaks, content rotation across distress-level tiers, peer support sessions, and access to mental-health resources. Wellness compliance is logged per moderator shift and reported to the client trust and safety team alongside the moderation audit reports.
How are escalations handled across tiers?
T1 moderators decide clear-cut cases against the calibrated rubric. Borderline cases escalate to T2 reviewers for second-tier review. Complex cases (novel policy gaps, regulatory edge cases, cross-platform coordination) escalate to T3 specialists. CSAM and imminent-harm cases escalate to the client trust and safety team with NCMEC-mandated escalation timelines honored.
What languages and locales are supported?
Coverage spans 250+ languages with native-speaker moderators including rare and refugee-resettlement languages where most moderation vendors lack native-speaker depth. Regional and dialectal variants are scoped per program so cultural context (slang, coded language, region-specific hate speech) is recognized rather than missed by generic translation-based moderation.
How is audit reporting structured?
Per-decision audit records include the content item identifier, policy category, decision tier, reviewer ID (pseudonymized for moderator privacy), decision rationale, escalation history, and timestamp. The audit format is confirmed in scoping so the records drop directly into the client's trust and safety reporting pipeline for regulatory or internal review.