You already use AI in many ways—like deciding what products and services to order—and it may be most familiar to you as a chatbot, as an avatar-maker, or as a way to unlock your screen. But here’s what AI may be able to help the world with: finding medical diagnoses, teaching you about scientific research, and calculating the complexities of any function.
But, like humans, algorithms are what they eat. They’re only as good as the rules they know and the data they’re trained on. We’re the team that helps model these behaviors.
Advanced AI Data Trainer.
Remote – Worldwide.
This is an entry-level role perfect for voracious readers early in their careers, or for career switchers keen to enter the technology field. Pay begins between $15-$20 / hour to top applicants anywhere in the world. The schedule requires a commitment of 40 hours / week
Roles & Responsibilities
As an Advanced AI Data Trainer you will be working closely with a team of other trainers, within protocols developed by the world’s leading AI researchers— training the AI to read, write, summarize knowledge, and interpret meaning. Think of it like being a language arts teacher or a personal tutor for some of the world’s most influential technology.
The goal of this AI is to be a safe, accurate, widely knowledgeable, and beneficial conversation partner to the world for a wide variety of purposes. Your job is to train, evaluate, and test the AI’s conversation skills, continuously equipping it to fulfill that purpose.
Day in and day out, you will:
- Train the AI: You’ll spend the bulk of your time generating examples of ideal conversations, acting as both the User and the AI for the AI to learn from, collecting sources helping it read large swaths of humanity’s documented knowledge and distinguish between what is presented as fact vs. context vs. patterns of behavior.
- Evaluate the AI: Our partner’s mission is to develop AI models that are safe, accurate, and beneficial to humanity. You will continuously evaluate the AI according to those criteria and our training methods. For example, you will be discerning the accuracy of the facts that the AI is outputting, but also the accuracy with which they interpret them.
- Test the AI: How is testing different from evaluation? As the project grows over time, you’ll spend time actively trying to “break” the AI by “forcing” mistakes and improving the way these AI models recover. This is absolutely critical to its safety, accuracy, and use. You’ll document breaks and have the opportunity to recommend improvements to the training methods themselves to both our team and our client.
This is a humanities job that uses technology and relies more fully on your competencies than your formal experience––making it a rare opportunity that’s perfect for new grads, career transitioners, and those seeking an exciting encore career.
This position is great if you are the sort of person who is exceptional at generating copy intuitively, enjoying writing creatively on a frequent basis. You also have the metacognitive awareness to “show your work.” You can clearly explain your thinking and reasoning, helping others understand you and your thoughts better. In addition, you’re the sort of person with a deep interest in linguistics and learning about language. If you didn’t get a Ph.D., you probably wanted one. You instinctively document learnings and continuously refine methods, craving successive approximations and empirical questions. Finally, you’re someone who needs to be constantly learning new things and shudders at the thought of doing the same thing, day in and out.
In short, you are someone who:
- lives to learn
- can’t wait to try something new
- drinks in language deeply
- expressives their thinking fluidly
- wants to get in on the bottom floor of a technology that already is fundamentally changing the world as we know it.
To Apply, Simply CLICK HERE
Ideally you are available between EST or PST time zones. The work is steady, the hours are flexible, the work is enjoyable, and leaves room for advancement into more senior training roles and project management roles on the Invisible team as the project expands. We’re keen to share more in interviews.