STEM Expert, Mandarin Chinese (mainland China) - AI Training

$50/hr

rate as listed

Workload: ~21 hrs/week
Engagement: Project-based
Location: Worldwide
Field: Sciences

Create realistic STEM workspaces, prompts and grading rubrics that reflect scientific and engineering practice in mainland China. Evaluate AI agents using Mandarin Chinese materials, quantitative analysis and technical documentation.

The work

You will turn realistic scientific or engineering assignments into AI training tasks grounded in professional practice in mainland China. Day-to-day work includes building workspaces and supporting files, writing prompts, creating grading rubrics and evaluating whether AI agents produce technically sound results.

What the platform screens for

The screening focuses on at least 5 years of research or industry experience as a scientist or engineer, a degree from a top-20 university in mainland China and native or fluent in Mandarin Chinese. Expect follow-up questions about concrete technical projects, quantitative methods, documentation practices and how you would distinguish a plausible answer from a correct, complete and well-supported one. A master's or PhD is a plus, not a stated requirement.

Logistics

The role is remote and listed at about 21 hours per week. The pilot is scheduled from Oct 23 to Nov 19, and the listing does not specify whether working hours are fully asynchronous.

Pay band: $50/hr

What they look for

5+ years of research or industry experience as a scientist or engineer
Native or fluent in Mandarin Chinese
Degree from a top-20 university in mainland China
Quantitative analysis and data-heavy problem solving
Technical documentation
AI task design and grading rubric development

Included with this listing

Interview prep — 10 questions

Matched to what this platform's screening actually measures. Answer each out loud in 60–90 seconds: claim → concrete example → implication.

What it tests: This tests whether the required experience is verifiable through dates, employers, responsibilities, technical decisions and a concrete project outcome.
A strong answer: Give a concise chronology and then explain one project with its objective, your individual responsibility, the methods or tools used and a measurable or independently checkable result.
Where people lose it: Candidates lose points by naming prestigious projects or employers without separating their own technical contribution from the work of the wider team.

Summary, eligibility guidance and screening preparation are prepared by Sidequest from the platform's posting. Check the source listing before applying.