STARTINGIN AIWORK✳
For 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.
Where to begin.
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 ↗
- First
Understand the work
What AI workers do, how contract work differs from a regular job and what the screening looks like.
Read the beginner's guide ↗ - Then
Learn one skill
Start with labeling data or with judging model answers. Both guides include practice examples.
Data annotation ↗Evaluating responses ↗ - Next
Prepare for screening
How platforms test new people, how to explain your reasoning and how to present your skills honestly.
Your first AI interview ↗Your first CV ↗ - Finally
Apply on the platform
Look at the types of projects, check that the platform accepts people from your country and apply on its own site.
Types of AI projects ↗
I built this site to share the basics I wish I had known before my first application.
Denys HaidamakaBeginner
guides.
Short guides for people who have never done an AI task. You don't need an account, and there are no quizzes.
Data annotation
Labeling images, classifying text, reviewing audio and why accuracy matters.
Read guide ↗Evaluating model responses
Comparing answers, checking instructions and giving feedback based on evidence.
Read guide ↗Your first CV
How to present transferable skills honestly.
Resume guide ↗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 ↗
Some projects require specialized knowledge or advanced English. Not every task is entry-level, and available work changes. The guides explain the differences.
FACT
CHECKING
BASICS✳
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:pdfScreenings and
interviews.
Most platforms run their own screening. These guides help you prepare without another formal test.
Your first AI
interview & assessment
What the screening may involve, how to think aloud and how to avoid rushing.
Open guide ↗Expert assessment
practice
How to turn professional knowledge into clear answers you can defend.
Open guide ↗Quality review
scenarios
Applying a rubric consistently, judging severity and writing clear feedback.
Open guide ↗Types of
AI projects.
These 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? ↗Questions and
personal advice.
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
Your message
A short message is enough.
I'll open the form here once I set up secure sending. Until then, LinkedIn is the quickest way to reach me.
- Say what you have worked on and which languages you use.
- Tell me which kind of AI work you are curious about.
- Ask one concrete question.
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.
AI for your business.
I also help businesses find where AI and automation can simplify daily work, from repetitive admin tasks to agent-assisted workflows with clear human oversight.
Explore AI for BusinessAbout
me.
I'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.
FacinateAI 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 conversation ↗Frequently asked
questions.
Do I need programming experience to start? +
Not 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.
Is AI work a guaranteed remote salary? +
No. Many opportunities are contract-based and depend on country, eligibility, screening results and project demand. Available work and pay can change.
Will you help me pass the platform's assessment? +
I share general preparation tips and original practice examples. I don't provide confidential test answers, guarantees or shortcuts around platform rules.
Do I have to send you my CV? +
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.
Do you receive referral compensation? +
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.
Can I contact you through this site? +
Not yet. The site needs secure handling for messages and CVs first, and it never sends or stores your data in the background. Until then, message me on LinkedIn.