STEM Experts for AI Training
Budget: $25 – $50 USD
I’m assembling a curated pool of subject-matter specialists who can help me refine, fact-check, and expand the knowledge base used to train large-scale AI models. The work is fully remote, project-by-project, and revolves around short task batches that draw on deep expertise in your discipline. One week you might verify the mathematical correctness of generated problem sets, another you could be writing clear explanations of computer-science concepts, reviewing data-science code snippets, or flagging subtle errors in physics solutions.
To take part you’ll need:
• A completed degree in a STEM field (Bachelor’s or higher) and genuine fluency with the core concepts of your specialty.
• The ability to explain complex ideas in concise, fault-free English.
• A commitment to accuracy—our acceptance checks are strict because these datasets will directly influence model performance.
After onboarding you’ll gain access to a private portal where tasks appear with estimated time allowances and fixed payouts. Deliverables are submitted through the same portal and undergo an internal review for technical correctness, clarity, and originality. Passing review releases payment automatically.
If you hold credentials in Engineering, Computer Science, or Data Science, you’ll see the highest task volume, but contributions from Mathematics, Physics, Chemistry, Biology, Statistics, Financial Mathematics, Electrical or Automatic Engineering are equally welcome.
Submit your credentials and a brief overview of the topics you can cover confidently; once verified, I’ll invite you to the next task cycle.
To take part you’ll need:
• A completed degree in a STEM field (Bachelor’s or higher) and genuine fluency with the core concepts of your specialty.
• The ability to explain complex ideas in concise, fault-free English.
• A commitment to accuracy—our acceptance checks are strict because these datasets will directly influence model performance.
After onboarding you’ll gain access to a private portal where tasks appear with estimated time allowances and fixed payouts. Deliverables are submitted through the same portal and undergo an internal review for technical correctness, clarity, and originality. Passing review releases payment automatically.
If you hold credentials in Engineering, Computer Science, or Data Science, you’ll see the highest task volume, but contributions from Mathematics, Physics, Chemistry, Biology, Statistics, Financial Mathematics, Electrical or Automatic Engineering are equally welcome.
Submit your credentials and a brief overview of the topics you can cover confidently; once verified, I’ll invite you to the next task cycle.