Generalist Expert (UK/Europe)

$50–70/hrrate as listed

Review everyday professional work product — documents, slides, spreadsheets — and rate AI-generated versions of it for accuracy, clarity, and completeness. Mercor is recruiting UK and Europe-based generalists with a bachelor's degree and strong written reasoning; observed pay for this listing is $50–70/hr.

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

What the work involves

You work through a queue of business artifacts: a slide deck summarising a market, a spreadsheet model with formulas that may or may not compute correctly, a memo, a project brief, a formatted report. Some are human-written references; most are model outputs. Your job is to read closely, decide whether the artifact actually does what it was asked to do, and write down why. Tasks typically include scoring a single output against a rubric, ranking two or more candidate outputs, and annotating specific failures — a fabricated figure, a broken cell reference, a section that restates the prompt instead of answering it, a deck whose narrative doesn't follow from its own data.

The written justification is the deliverable as much as the score. Reviewers who last on this kind of project can point at the exact sentence, cell, or slide that caused the deduction and explain what a correct version would have looked like. Vague feedback ("needs more detail") gets flagged in quality audits.

What the screen looks for

Verified degree and location. A bachelor's degree is the stated floor, and the project is scoped to UK/Europe-based reviewers — expect identity and residency checks.
Reading comprehension under pressure. Screens for generalist roles usually include a sample evaluation: you read a flawed document and write your assessment. Precision beats length.
Rubric discipline. Can you apply criteria you didn't write, including when your personal preference disagrees with the rubric? Follow-up questions often probe exactly this.
Tool fluency. Comfort with docs, slides, and spreadsheets — enough to check a formula, spot a formatting inconsistency, or notice a chart that misrepresents its source data.

No AI or ML background is required. Guidelines and calibration materials are provided, and much of the skill is learning a specific project's conventions quickly.

Logistics

Fully remote and asynchronous. Work is drawn from a task queue rather than scheduled shifts, so hours are flexible, though throughput and quality scores generally determine how much work stays available to you. Many contributors treat this as part-time alongside other work; volume on generalist projects fluctuates and can pause between phases. Pay is hourly at the observed $50–70 band for this listing — Mercor sets rates per project and per contributor, so treat the band as a reference point, not a promise.

What they look for

Bachelor's degree (minimum)
Based in the UK or Europe
Excellent English reading comprehension and written reasoning
Strong attention to detail across varied subject matter
Working fluency with documents, slides, and spreadsheets
Ability to apply a rubric consistently and work independently

Before you apply

Would you pass this screen?

Drawn from what this listing actually requires. Answered in your browser — nothing is sent to us, and we do not store your answers.

Do you hold a Bachelor's degree or equivalent qualification from an accredited institution?
Bachelor's degree · required
Are you currently based in the UK or Europe, with reliable access during UK/European business hours?
UK or Europe location · required
Is English your working language, or have you worked professionally in English-language roles for at least two years?
English language proficiency · required
Have you used Google Docs, Sheets, or Slides (or Microsoft equivalents) for substantive work tasks?
Productivity tool experience · preferred

0 of 4 answered

Included with this listing

Interview prep — 11 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: Can they demonstrate a systematic approach to catching subtle errors—misalignments between claims and evidence, logical gaps, inconsistencies across sections—rather than just surface-level typos?
A strong answer: A strong answer names a specific document or project, describes what they initially read for, then explains how they caught something that required re-reading or cross-checking (e.g., a contradiction between sections, a conclusion unsupported by earlier data). It shows they didn't just skim.
Where people lose it: Candidates say they 'proofread' or 'caught typos' without describing any analytical work. Or they describe feedback that was purely stylistic ('the tone wasn't right') rather than substantive errors in logic or accuracy.