Lesson 1
What the work really is
AI companies need people to teach and test their models. Platforms such as Mercor, micro1, Turing and AfterQuery connect those companies with people who have the right skills.
A project might ask you to:
- Compare AI answers and explain which is better
- Write difficult questions and strong model answers
- Check AI output for mistakes in your field
- Solve coding problems or review generated code
It's usually contract work. Pay can be good, but projects can pause or end with little notice, so don't treat one project as a permanent salary.
Do this now: read one full job description from our hot jobs and note what you'd actually do each day.
Lesson 2
Choose where you can win
Your best first job is usually where your background is hardest to replace. A real specialty will often stand out more than general experience.
- Degree or profession: medicine, law, finance, engineering and sciences
- Technical skill: programming languages, data science, competitive programming
- Language: strong writing in Bangla or another language, alongside English
Read the requirements honestly. Many expert roles ask for specific degrees or achievements. If you clearly don't meet them, spend your time on a role you do fit.
Do this now: write down your three strongest areas, with one piece of proof for each, such as a degree, job, rank or project.
Lesson 3
Write a CV for this work
Someone reading your CV should quickly see that you have the expertise the role asks for.
- Lead with your specialty. Say clearly what you are, such as "Molecular biologist with 4 years of lab research".
- Use specifics. "Solved 800+ problems, Codeforces Expert" says more than "good at coding". Only use numbers that are true.
- Mirror the job's words where they honestly apply to you.
- Show you can explain your thinking. Teaching, reviewing, writing and mentoring all count.
- Keep it clean. One or two pages in PDF, with correct contact details.
Never invent a degree, job or achievement. It may be checked, and you could lose the work or your account.
Do this now: rewrite the top three lines of your CV so your specialty is obvious within seconds.
Lesson 4
Apply carefully
Applying everywhere at once rarely helps. A few careful applications are usually better than many rushed ones.
- Read the whole posting, including location, hours and any requirements
- Use one email address, and keep it the same across forms and platforms
- Fill in every field, as your profile may be all that a reviewer sees
- Keep a simple list of where you applied, when, and what happened next
Before you start, confirm the platform can pay you where you live. It's better to find out now than after you've done the work.
Do this now: pick the two roles that fit you best, and request to join Tabiz so we can tell you about new ones.
Lesson 5
Pass the screening
Screening varies by platform. It may include a skills test, a writing task, or a live or AI-led interview.
Before you start
- Read the instructions fully, including the time limit and which tools are allowed
- Find a quiet place, with a reliable connection and a charged device
- Check your camera and microphone if they'll be used
During it
- Explain your reasoning. Clear thinking often matters as much as the final answer.
- Be specific. Use real examples from your work or study.
- Say when you're unsure instead of bluffing.
- Practise out loud, especially if the interview isn't in your first language.
Do your own work. Don't use AI tools where they're banned, and don't share or use leaked answers. It can get you removed, and it leaves you unprepared for the real tasks.
Do this now: record yourself explaining a hard topic from your field in two minutes, then listen back and improve it.
Lesson 6
Do well on your first tasks
Getting accepted is only the start. Your early work can decide whether you keep getting tasks.
- Read the guidelines twice, and keep them open while you work
- Start slowly. Accuracy matters more than speed at first
- Follow the project's definition of good, even where it differs from your habits
- Ask early in the official channel when something is unclear
- Read any feedback closely, and fix that exact issue next time
Do this now: use our onboarding checklist as soon as you get an offer.
Lesson 7
Keep the work coming
- Plan for gaps. Keep savings aside, because projects can end suddenly
- Stay active on more than one platform where the rules allow it, so you don't rely on one project
- Keep your profile current with new skills and results
- Log your hours and tasks, and check each payment against your own records
- Keep your promises. Only commit to the hours you can really give
Do this now: set up a simple sheet with the date, project, hours and amount paid.
Lesson 8
Avoid scams and protect yourself
Well-paid remote work attracts scammers. Be careful if you see any of these:
- Someone asks you to pay a fee for a job, training or equipment
- An offer arrives only by chat, without the platform's official site or account
- Someone asks for your passwords or one-time codes
- You're asked to send ID documents over chat
- Someone offers to rent your account, or asks to use yours
Check that the website address is really the platform's, and upload documents only there. Respect any NDA too: don't post task details in groups or on social media.
Do this now: if a message looks wrong, stop and ask in our community before you reply.
You've finished the course. What next?
Take the first step while it's fresh. Look through the open roles, or request to join and we'll tell you when one fits.