FIND JOBS IN AI GUIDE
Coding and data work in AI
Coding projects often need people to test generated code, explain bugs, compare solutions or assess data work. The strongest fit depends on the languages, tools and seniority stated in the specific vacancy.

Typical tasks
A role may ask you to review code for correctness, write test cases, explain a fix, compare alternative implementations or evaluate a model’s reasoning. Data roles may focus on SQL, statistics, analysis or the interpretation of results.
What to show in your application
Name the languages and tools you actually use. Describe a project where you solved a problem, reviewed another person’s work or communicated a technical decision. If a listing specifies a degree, years of experience or a particular language as mandatory, that requirement still applies.
Check the working terms
Look for the task format, assessment, rate, location eligibility and expected availability. Some projects are short-term contractor assignments rather than permanent engineering jobs.
From vague feedback to useful feedback
Vague: “This function has a bug.” Useful: “When the input list is empty, the function reads index 0 and throws; it should return an empty result. Test with [] and a one-item list.” The second version identifies an observable failure and a test.
Build a useful evidence trail
When reviewing code, start with the stated requirement. Run a small test when the project permits it. Record the input, expected behaviour and actual behaviour. Separate correctness from readability, performance and security so another reviewer can understand your judgment.
Some roles are closer to software engineering; others focus on evaluating generated answers. Read the task description before tailoring your CV.
How to present your experience
Describe one relevant project, your specific contribution and what you checked. If you review pull requests, test edge cases or explain technical choices to non-specialists, say so. Avoid listing every language you have briefly encountered as a professional strength.
Questions to ask before you start
- Which languages and frameworks are actually required?
- Will I write code, review generated code or evaluate explanations?
- What test environment is supplied?
- Does the contract pay for debugging time as well as final submissions?