Build the Future of
AI Intelligence

Label, classify, and annotate text, image, and audio datasets used to train large language models and computer vision systems. Your work directly shapes how AI models understand the world — accuracy and consistency are paramount.

Provide structured human feedback to train AI models via Reinforcement Learning from Human Feedback (RLHF). You'll rank AI-generated responses, identify failure modes, and write preference annotations that guide model alignment and helpfulness.

Design, test, and iterate on prompts that elicit high-quality, reliable outputs from large language models. You'll build prompt libraries, document best practices, and work closely with the model evaluation team to close capability gaps.

Assess AI-generated content for accuracy, safety, helpfulness, and alignment with guidelines. You'll apply structured rubrics to evaluate model outputs across diverse domains including factual QA, creative writing, coding, and reasoning tasks.

Proactively probe AI systems to identify vulnerabilities, harmful outputs, jailbreaks, and edge-case failures. You'll document adversarial prompts, reproduce issues reliably, and collaborate with alignment teams to patch discovered weaknesses before deployment.

Review and score AI chatbot conversations for quality, tone, factual accuracy, and user satisfaction. You'll flag edge cases, write improvement annotations, and help shape how the next generation of conversational AI behaves. 🔔 New batch of positions opens every Monday. Last week's openings filled in under 72 hours — get your certificate ready and be first in queue.