Text and Comment Moderation
Policy-led decisions with severity, context and escalation recorded.
Human moderation across text, image, video and audio with severity-tiered policy enforcement, appeals and escalation in 30+ languages.
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Content moderation reviews user-generated content against written policy and applies proportionate action. Automation handles confident volume; people handle the uncertain middle, context, novel patterns and appeals.
For classifier data use Text & NLP Annotation Services. For model-output safety evaluation use LLM & RLHF Annotation Services.
Policy-led decisions with severity, context and escalation recorded.
Policy-led decisions with severity, context and escalation recorded.
Policy-led decisions with severity, context and escalation recorded.
Policy-led decisions with severity, context and escalation recorded.
Policy-led decisions with severity, context and escalation recorded.
Policy-led decisions with severity, context and escalation recorded.
Policy-led decisions with severity, context and escalation recorded.
Policy-led decisions with severity, context and escalation recorded.
Policy-led decisions with severity, context and escalation recorded.
Policy-led decisions with severity, context and escalation recorded.
Policy-led decisions with severity, context and escalation recorded.
A working taxonomy includes category definitions, severity tiers, action mapping, confidence handling, context modifiers, repeat-behaviour rules and jurisdictional annexes. It is stress-tested on real samples before launch.
Exposure limits, queue rotation, proactive confidential clinical support, exposure-reducing tools, a right to step away, informed consent, peer debriefs and trained supervisors are built into the operation.
People review the classifier decision boundary, context-dependent speech, novel harm patterns and appeals. Moderator decisions can improve automation over time.
False positives and false negatives are separated, with per-category precision and recall, borderline agreement, appeal overturn rate, hidden gold cases, senior adjudication and severity-based SLA latency.
Native reviewers cover 30+ global languages with comprehensive depth across Indian regional languages, code-mixed text, dialect and regional context.
Independent second review, captured reasoning, named escalation paths, overturn analysis and transparency-ready records.
eQOURSE does not accept CSAM review or classification, extremist content review at scale, unsafe queue configurations, moderation without written policy or sole authority for legally consequential outcomes.
Work runs in client or managed tooling with role-based access, audited decisions, ISO-certified processes and business-hours, extended-hours or 24/7 coverage.
Image Annotation Video Annotation AI Model Testing Case studies Client testimonials
Content moderation reviews user-generated content against platform policy and decides whether to leave, restrict, remove or escalate it.
Text, images, video, audio, profiles, listings, advertising creative, spam, scam and fraud across 30+ languages.
Training a classifier is a finite annotation project. Running a live policy queue is an ongoing operation with coverage, latency and escalation commitments.
People handle uncertain, context-dependent, novel and appealed cases while automation handles confident high-volume decisions.
Safeguards include exposure limits, queue rotation, proactive confidential clinical support, exposure-reducing tools, informed consent and the right to step away.
False positives and false negatives are separated, with per-category precision and recall, borderline agreement, appeal overturn rate, hidden gold cases and SLA latency.
Severity tiers distinguish intensity within a policy category and map each category-tier pair to a proportionate action.
No. eQOURSE does not accept CSAM review or classification work. Specialist legally structured organisations and relevant authorities must handle it.
Yes. Native-language moderation is available across 30+ global languages with India-wide regional-language, dialect and code-mixed depth.
Yes. Coverage can be designed for business hours, extended hours or 24/7 operations with severity-based latency targets.
Yes. We design and stress-test categories, severity tiers, action mapping, context modifiers and worked examples.
Cost depends on volume, content type, complexity, severity, coverage, latency, languages, appeals, policy maturity and security.