
Inside a language model.
Follow a prompt from tokens to the next-token prediction, open the three blocks and try a small Transformer.
Open the lessonFor people new to data annotation and AI evaluation. Read what the work involves, learn the basics and get advice from someone who does this work.
Most beginners piece this field together from scattered forum posts. This route keeps it to four steps. The guides are free and optional, they have no tests, and you can message me for a person's view. Not sure where you fit? Answer five short questions
What AI workers do, how contract work differs from a regular job and what the screening looks like.
Read the beginner's guideStart with labeling data or with judging model answers. Both guides include practice examples.
Data annotationEvaluating responsesHow platforms test new people, how to explain your reasoning and how to present your skills honestly.
Your first AI interviewYour first CVLook at the types of projects, check that the platform accepts people from your country and apply on its own site.
Types of AI projectsShort guides for people who have never done an AI task. You don't need an account, and there are no quizzes.
Labeling images, classifying text, reviewing audio and why accuracy matters.
Read guideComparing answers, checking instructions and giving feedback based on evidence.
Read guideHow to present transferable skills honestly.
Resume guideHow models learn from your labels, How machine learning works
Another guide for reviewers, Spotting AI-isms in writing
Words you will hear in AI work and interviews, the AI glossary with about 200 terms
Turn a 3D model, open its parts and follow one step at a time. Each lesson runs in your browser and ends with six short questions.

Follow a prompt from tokens to the next-token prediction, open the three blocks and try a small Transformer.
Open the lesson
Follow one task from the goal to tools, approval and a clear ending. It builds on the language model lesson.
Open the lessonSome projects require specialized knowledge or advanced English. Not every task is entry-level, and available work changes. The guides explain the differences.
How to trace claims to their original sources, check dates and evidence, and search with Google operators. The guide has no course or exam.
Open fact checking labsite:who.int "report" filetype:pdfMost platforms run their own screening. These guides help you prepare without another formal test.
What the screening may involve, how to think aloud and how to avoid rushing.
Open guideHow to turn professional knowledge into clear answers you can defend.
Open guideApplying a rubric consistently, judging severity and writing clear feedback.
Open guideThese are the main kinds of projects beginners take on. Each card names the platforms where you can apply for that work, and those links are referral links. A listed platform is no promise of an opening.
The platforms are independent sites, and I have no partnership with them. Each link opens the platform's own page, where roles and rules can change at any time.
Want to ask a real person?If you're new to this field and don't know where to begin, tell me about your experience. When I have time, I'll suggest where to start.
You share what you already know and want to do
I review your background when time allows
You get practical suggestions with no promise of a job
A short message is enough.
LinkedIn is the way to reach me. A short message is enough, and I reply when I have time.
You don't need a CV for a first message. Please don't send ID documents or confidential project material. LinkedIn's own terms apply there.
I also set up AI assistants and agents for businesses inside their own tools, with their data kept in-house. They read reports, write summaries and draft tasks, and a person stays in charge of every result.
Explore AI for BusinessI'm Denys Haidamaka. I've worked on AI evaluation, multimodal review, quality checks and evaluation frameworks. I know the questions people have when they first enter this field.
FascinateAI Hub is my independent project to share practical, beginner-friendly advice and point people toward opportunities. I don't represent, hire for or speak on behalf of the platforms featured here.
Start a conversationNot always. Some annotation, data labeling and evaluation tasks focus on language, attention to detail and following instructions. Specialized projects may require professional knowledge, coding or other qualifications.
No. Many opportunities are contract-based and depend on country, eligibility, screening results and project demand. Available work and pay can change.
I share general preparation tips and original practice examples. I don't provide confidential test answers, guarantees or shortcuts around platform rules.
No. You can read every guide and apply using a referral link without sending me any personal details. Asking for advice and sharing a resume are optional.
Some links may earn me a reward if you meet the platform's rules. That doesn't mean the platform will accept or pay you. I recommend platforms by fit, and each eligible link shows the details.
Yes. Use the contact form on this page, and attach a resume if you like. Netlify, which hosts the site, passes your message to my email. The privacy notice explains how long I keep it.