What is AI Training?
Large Language Models don't learn on their own. They need humans to teach, correct, and refine their responses. That's where you come in.
The Human-in-the-Loop
AI Training (often called RLHF - Reinforcement Learning from Human Feedback) is the process of providing high-quality data to improve AI models like GPT-4, Claude, or Gemini.
As a trainer, you aren't just "using" AI; you are the source of truth. You evaluate whether an AI's answer is accurate, safe, and helpful, or you write the "Gold Standard" responses that the model should strive to emulate.
Common Task Types
RLHF Ranking
The AI generates two different answers to a prompt. You rank which one is better based on specific criteria like truthfulness and tone.
Fact-Checking
Verifying the claims made by an AI using external sources to ensure the model isn't "hallucinating" or making up facts.
Adversarial Prompting
Trying to "break" the AI by giving it tricky or harmful prompts to ensure its safety filters are working correctly.
Expert Writing
Writing complex code, solving math problems, or creating creative essays to show the model what a "perfect" response looks like.
Where do these jobs come from?
Major AI labs (OpenAI, Anthropic, Google) rarely hire thousands of individual contractors directly. Instead, they use specialized workforce platforms to manage the data labeling process.
aitrainer.work aggregates listings from these platforms so you can compare pay rates and requirements in one place.
FAQ
Is this "Gig Work"?
Mostly, yes. Most roles are 1099 contract positions. Some offer steady 40-hour weeks, while others are "task-based" where you log in and work whenever tasks are available.
How do I get selected?
Most platforms require an initial assessment. They look for high-quality writing, the ability to follow complex instructions, and subject matter expertise (especially in Coding or STEM).