AI-DNA Content Moderation Technician

@ IgniteTech

Toutes ses offres

Canada

Temps plein1+ ans d’expérience

Postuler

SIGNAUX

En bref

IgniteTech is hiring an AI-DNA Content Moderation Technician, a full-time entry-level role. The work involves reviewing and classifying user-generated and AI-generated content against platform policies with GenAI assistance, managing review queues, and annotating content to train AI moderation systems.

Responsabilités :

Review and moderate forum, blog, knowledge base and event content
Apply approve, remove, tag, reclassify or escalate actions
Organize and prioritize content queues
Annotate content to generate AI training data
Document edge cases and submit model feedback

Résumé des exigences :

At least 1 year of structured, tech-enabled work experience
Hands-on use of multiple GenAI tools
Strong attention to detail and consistency
Excellent English reading and writing
Emotional resilience for sensitive content
Basic proficiency with web-based tools and dashboards

Outils et compétences

ChatGPT Claude Gemini Smartsheet moderation platforms ticketing systems

Source et dates

Type de source non vérifié · apify-linkedin

Date publiée par l’employeur: 2026-10-25
Première détection par notre source: 2026-11-15
Mise à jour du dossier source: 2026-11-15

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

Niveau	Débutant
Domaine	Service à la clientèle
Expérience	1 an(s) et plus
Heures par semaine	40 (estimé)
Déplacements	avion : aucun · route : aucun
Milieu de travail	Bureau
Position	Surtout assis
Exigences physiques	physique faible · ordinateur élevé
Langues	English

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Postuler

IgniteTech

Toutes ses offres

Champ	Valeur
Offres sur Jobsy	4

Description

If you've been looking for a role where your AI skills meet real-world impact, this is where entry-level meets cutting-edge. Few roles at this level give you this much hands-on AI operations experience.

What you will be doing

Moderating content at scale using AI + human judgment: Reviewing, classifying, tagging, and actioning user-generated and AI-generated content (forums, blogs, knowledge bases, events, groups) against platform policies — with GenAI tools accelerating your decisions.
Keeping the content pipeline running smoothly: Organizing review queues, tracking submission timelines, flagging bottlenecks, and ensuring content moves efficiently from submission to publication across tools and teams.
Training the AI that trains itself: Annotating edge cases, labeling content for model training, validating AI-generated suggestions, and submitting structured feedback that directly improves auto-moderation accuracy over time.
Documenting everything that matters: Logging moderation actions, capturing ambiguous cases, and maintaining clear records that give your team and stakeholders full visibility into progress and decisions.

What you will NOT be doing

Mindlessly clicking "approve" or "reject" all day. You'll apply contextual judgment and use GenAI to work smarter — not just faster.
Working without structure or guidance. You'll have clear policies, documented procedures, and established workflows — no guessing what "good" looks like.
Handling escalations alone with no support. Edge cases and sensitive content are escalated through defined paths; you won't be left to make high-stakes calls in isolation.
Sitting in endless meetings or navigating corporate politics. This is a hands-on, execution-focused role where your output speaks for itself.
Being stuck in a dead-end moderation job. You'll gain real AI operations experience that opens doors in Trust & Safety, AI/ML ops, and content operations.

Responsibilities

Review and moderate incoming content (forums, blogs, knowledge bases, events, groups) using a combination of AI-assisted tools and manual review to ensure policy compliance.
Apply moderation actions — approve, remove, tag, reclassify, or escalate — consistently and accurately across all content types.
Organize and prioritize content queues; monitor content flow across review stages; resolve workflow delays proactively.
Communicate task status, blockers, and progress updates to internal teams and stakeholders.
Annotate and tag content according to defined schemas to generate clean, structured training data for AI systems.
Identify and document edge cases, false positives/negatives, and anomalies; submit actionable feedback to improve AI model performance.
Track recurring issues and contribute to the continuous improvement of moderation guidelines, tools, and automation systems.
Maintain detailed logs of all moderation actions, decisions, and escalations for audit and operational reporting.

Requirements

At least 1 year of professional experience in a structured, tech-enabled role (e.g., content moderation, customer support, QA, BPO, community operations, or admin).
Demonstrated hands-on experience using multiple GenAI tools (e.g., ChatGPT, Claude, Gemini) for tasks like classification, tagging, documentation, or automation — in professional, academic, or personal productivity contexts.
Strong attention to detail with the ability to make accurate, consistent decisions within defined guidelines over sustained periods.
Excellent English reading comprehension and written communication skills for reviewing diverse content and documenting actions clearly.
Comfort and emotional resilience when reviewing sensitive, disturbing, or challenging content in a professional manner.
Basic proficiency with web-based tools, dashboards, and structured workflows (e.g., moderation platforms, Smartsheet, ticketing systems).
Ability to follow detailed procedures precisely while exercising sound judgment on ambiguous cases.

Nice to Have

Experience with content annotation, data labeling, or AI/ML training data workflows.
Familiarity with Trust & Safety frameworks, community guidelines, or platform policy enforcement.
Prior experience moderating online communities (e.g., Discord, Reddit, forums — even as a volunteer or freelancer).
Exposure to rule-based automation, content flagging systems, or moderation dashboards.
Experience working in BPO or high-volume operations environments with SLA-driven workflows.
Basic understanding of how AI models are trained and how human feedback loops improve automation.

What you will learn

AI Operations in Practice: Gain daily, hands-on experience using GenAI tools in a production environment — building skills that are rapidly becoming essential across the tech industry.
Trust & Safety Expertise: Develop deep knowledge of content moderation frameworks, policy enforcement, and platform integrity — a fast-growing career field with increasing demand.
Human-in-the-Loop AI Training: Learn how your annotations, tags, and feedback directly shape AI model performance — understanding the full feedback loop from human judgment to machine learning improvement.
Scalable Operations Thinking: Build expertise in workflow management, queue optimization, and cross-functional coordination at scale.
Career Acceleration: Position yourself for advancement into senior moderation, Trust & Safety analysis, AI operations, or content operations leadership roles.