How do AI teams detect edge cases faster? Whatâs the best way for AI leaders to measure annotation pipeline performance? As our Technical Content Lead, you'll translate challenges you've likely faced yourself - dataset quality issues, annotation workflows, model performance issues - into content that resonates with AI and ML teams. You'll bring hands-on experience from data ops, ML engineering, or data infrastructure. You understand dataset quality issues, annotation workflows, and model performance issues. That technical foundation is what enables you to create content that drives measurable business impact through brand awareness and pipeline. We're trusted by 200+ world-class AI teams across robotics, logistics, automotive, insurance, gen AI and many others. If you want to create content at the intersection of cutting-edge AI applications and data infrastructure, this is your opportunity.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
101-250 employees