Review and moderate user-generated content for AI training datasets. Apply guidelines to filter inappropriate material and annotate for model improvement in social media analytics and recommendation systems.

Status Network is enhancing its decentralized social protocol with AI, and we seek Hourly Weekly Content Moderators to curate clean datasets for training ethical AI models.

In this role, you'll:

• Examine text, images, and videos from social feeds.
• Categorize content based on toxicity, relevance, and compliance.
• Provide detailed annotations to train moderation algorithms.
• Suggest guideline updates based on emerging trends.

Spanning 4 months, this flexible gig lets you work asynchronously, perfect for those interested in AI ethics and content ecosystems. No strict hours—log in when it suits you, with tasks batched for efficiency.

Our platform uses custom tools for moderation, including ML-assisted pre-labeling to speed up your work. Training covers cultural sensitivities and bias detection, ensuring fair datasets. Your input will help build AI that promotes positive online interactions.

This is more than rote work; it's about shaping AI's role in society. Learn how models learn from data, identifying patterns that influence recommendations. Ideal for juniors exploring NLP or computer vision.

Quality metrics track your accuracy, with feedback to improve. By end, you'll have practical experience in data curation, valuable for AI roles. Contribute to a freer, safer web with Status Network.

• Strong ethical judgment
• Comfort with diverse content
• Basic annotation tool proficiency
• Consistent availability

• Instant task completion rewards
• Skill-building webinars
• Community forum access
• Scalable workload options