Asian AI Taskers Needed
Budget: $30 – $250 USD
I’m assembling a remote pool of AI-savvy professionals based in Asia who can jump in as taskers on an as-needed basis. The workload varies—from quick data-annotation sprints to full model-training runs or algorithm tweaks for production code—so flexibility and a solid grasp of modern machine-learning workflows are essential.
Most of the jobs that come through my queue involve Python, and we routinely lean on frameworks such as TensorFlow, PyTorch, and Scikit-learn. If you’re equally comfortable moving between notebooks, CLI tools, and simple bash scripts to keep pipelines humming, you’ll fit right in.
Here’s how I see each engagement working:
• I share a clearly scoped task with target metrics, a milestone deadline, and the repo or dataset link.
• You complete the work independently, documenting key decisions and pushing code or labelled data back to the repo.
• We review results together; once accuracy or performance hits the agreed target, the milestone is approved and paid.
Turnaround windows can be tight, so consistent communication on Slack or email is critical. If you’re available for quick check-ins during GMT+5 to GMT+9 hours and have a reliable connection, I’d love to hear from you. Please tell me about the specific ML tasks you enjoy most, the frameworks you prefer, and one recent project you’re proud of.
Most of the jobs that come through my queue involve Python, and we routinely lean on frameworks such as TensorFlow, PyTorch, and Scikit-learn. If you’re equally comfortable moving between notebooks, CLI tools, and simple bash scripts to keep pipelines humming, you’ll fit right in.
Here’s how I see each engagement working:
• I share a clearly scoped task with target metrics, a milestone deadline, and the repo or dataset link.
• You complete the work independently, documenting key decisions and pushing code or labelled data back to the repo.
• We review results together; once accuracy or performance hits the agreed target, the milestone is approved and paid.
Turnaround windows can be tight, so consistent communication on Slack or email is critical. If you’re available for quick check-ins during GMT+5 to GMT+9 hours and have a reliable connection, I’d love to hear from you. Please tell me about the specific ML tasks you enjoy most, the frameworks you prefer, and one recent project you’re proud of.