AI-DNA Content Moderation Technician

IgniteTech; Argentina; Hybrid; ARS 38,018,000 - 68,432,000; Full time

Job summary

IgniteTech is hiring for an entry-level AI operations moderator in Argentina. You will review and moderate user- and AI-generated content using a mix of GenAI tools and human judgment to enforce platform policies.

This role emphasizes structured workflows, clear policies, and iterative learning from edge cases. You will gain hands-on AI operations experience across moderation pipelines, data labeling, and continuous process improvements, with opportunities into Trust & Safety and AI operations

Qualifications

• 1+ year in a structured tech-enabled role such as content moderation, customer support, QA, or operations.
• Hands-on experience with GenAI tools for classification, tagging, documentation, or automation in any context.
• Strong attention to detail and ability to follow defined guidelines over time.

Responsibilities

• Moderate content at scale using AI-assisted tools and human judgment.
• Apply moderation actions consistently across content types.
• Organize content queues and monitor workflow to prevent delays.
• Annotate and tag content to generate structured training data for AI systems.
• Document edge cases, false positives/negatives, and provide feedback to improve models.

Skills

Content moderation

GenAI tools

Attention to detail

English proficiency

Communication

Tools

GenAI tools

ChatGPT

Claude

Gemini

Job 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 el— 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.