How Coding and STEM AI Evaluation Works
Check specifications, reproduce results and distinguish a convincing explanation from code or reasoning that actually works.
You'll learn
- Start with the specification and assumptions, then inspect the proposed solution.
- Tests provide evidence only for the behavior they exercise.
- A correct final number does not validate an invalid derivation.
- Report the checks you actually performed and the limits of your environment.
In this guide
Coding and STEM review share a useful discipline: make the answer testable. For software, that means behavior under specified inputs and constraints. For mathematics or science, it means definitions, assumptions, units and a derivation whose steps hold.
What counts as evidence
| Evidence | What it can show | What it does not prove alone |
|---|---|---|
| A passing test | The observed behavior matched that test’s expectation. | Correctness for every allowed input. |
| Static code inspection | A visible logic, interface or resource-use defect. | That the program ran successfully in the target environment. |
| A derivation | A result follows if each step and assumption is valid. | That unstated assumptions hold in the real setting. |
| Dimensional analysis | Units are compatible with the claimed quantity. | That the numerical result is correct. |
The boundary case decides the review
Evaluation example
- if not xs: raise ValueError("empty input") return sum(xs) / len(xs)
- return sum(xs) / len(xs)
Test the contract, not just the example
When execution is permitted, choose tests from the specification: a normal case, boundary cases and any explicitly required error behavior. Record the environment and relevant output. If the solution depends on a library, check the installed version or the official documentation that applies to the target version.
Do not execute unfamiliar code outside the authorized evaluation environment. A task can contain file operations, network calls or expensive computation that are irrelevant to its apparent purpose. Follow the project’s execution rules and report when those rules prevent a requested check.
Common mistake
Saying “all tests pass” after running only the visible example
Name the checks you ran. A single example is evidence for one case, and a test can itself contain an incorrect assumption. Review failures against the written contract before assigning blame.
For STEM, inspect the path to the result
If an equation divides by a variable, check whether zero is excluded. If a result depends on an approximation, identify the regime where it is intended to hold. If a scientific answer describes a causal effect, inspect whether the supplied evidence supports causation or only an association. The review should identify the invalid step rather than dismiss the whole answer as “bad reasoning.”
Technical review check
- Restate the required behavior or assumptions.
- Inspect at least the decisive boundary condition.
- Check units and definitions where applicable.
- Distinguish observed execution from static analysis.
- Use official documentation for version-sensitive claims.
- Explain how the defect affects the requested result.
Current coding and STEM opportunities
The related listings below use Sidequest’s STEM and Coding field; science-focused opportunities are listed under Sciences on the roles board. Use the live listings for current requirements; this guide explains the review method rather than maintaining a second jobs catalogue.
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What it pays right now
STEM and Coding listings run a median of $81/hr across 146 rate observations, from $6 to $280.
See every field and platform on the rates page →