STEM Expert, Spanish (Spain) - AI Training

$50/hr

rate as listed

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

Create realistic STEM tasks in Spanish, including workspaces, files, prompts and grading rubrics, to train and evaluate AI agents. The work is remote and suited to scientists or engineers with at least five years of research or industry experience and a degree from a top-20 university in Spain.

The work

You will turn realistic scientific or engineering work into structured AI training tasks grounded in professional practice in Spain. Day to day, that means building workspaces and supporting files, writing prompts, assembling quantitative or data-heavy problems, and defining grading rubrics that distinguish correct, incomplete and misleading outputs.

What the screen is likely to assess

Expect verification of your scientific or engineering background, degree and years of experience. The platform may also probe whether you can explain technical decisions precisely, work through quantitative evidence, identify errors in an AI response and translate expert judgment into grading criteria. Native or fluent in Spanish is required, including the ability to write technically accurate prompts and documentation.

Working format

The role is remote and the expected commitment is about 21 hours per week. The pilot is listed as running from Oct 23 to Nov 19. The listing does not state whether those hours can be completed fully asynchronously, so candidates should be ready to clarify scheduling and turnaround expectations during screening.

Pay band: $50/hr

What they look for

5+ years of scientific or engineering experience in research or industry
Native or fluent in Spanish
Degree from a top-20 university in Spain
Quantitative analysis and data-heavy problem solving
Technical documentation and prompt writing
Evaluation rubric design for realistic STEM work

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 verifies the required experience and tests whether the candidate can anchor expertise in named roles, projects, methods and outputs rather than broad STEM claims.
A strong answer: Give a concise chronology with dates or durations, organizations or research settings, technical responsibilities and concrete deliverables. Make clear which work involved independent scientific or engineering judgment.
Where people lose it: Candidates lose points by counting education alone toward professional experience or describing a team’s work without identifying their own technical contribution.

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