General AfterQuery Expert (Data Annotator)

$25–60/hrrate as listed

AfterQuery places experienced professionals from any specialized field on annotation and model-evaluation projects, labeling text, documents, and model outputs against project-specific guidelines. Work is remote and project-based, with observed rates of $25–60/hr depending on domain scarcity and task complexity.

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

What the work actually looks like

You take a queue of samples — a model's answer to a technical question, a document extract, two competing outputs to rank — and apply your professional judgment against a written rubric. Most tasks want more than a label: a short written justification, a citation to a standard or source, and a note on what specifically is wrong when something is wrong. Batches vary. One project may be short binary judgments at volume; another may be a handful of long-form critiques where a single item takes forty minutes. Guidelines get revised mid-project, and the expectation is that you re-read them and adjust rather than annotate from memory.

What the screen is looking for

AfterQuery's intake is domain-agnostic in name but not in practice — the value is in the specificity of your expertise, so the screen pushes on what you actually did in your field, not what you know about. Expect follow-ups that go one layer deeper than your first answer: name the standard, name the failure mode, describe the judgment call you got wrong. Written clarity is weighted heavily, because your justifications are the deliverable that downstream teams read. Consistency also matters: the platform checks whether you apply a rubric the same way on item 200 as on item 3, and whether you flag ambiguity instead of quietly guessing.

Logistics

Fully remote, asynchronous, project-based. No fixed shifts.
Work arrives in batches; availability tends to be lumpy, with quiet weeks between projects.
Typical commitments run 5–20 hours a week when a project is live, self-scheduled.
Pay observed in the $25–60/hr range, set per project by domain and task difficulty. Rates are not guaranteed and vary between batches.
Qualification tasks are common before a paid project opens; they are usually short and unpaid or paid at a reduced rate.

What they look for

3+ years professional experience in a specialized domain (law, medicine, engineering, finance, science, or similar)
Clear structured writing — justifications, rationales, and source citations
Ability to follow detailed annotation guidelines consistently across high volumes
Analytical judgment on ambiguous or nuanced content
Prior data annotation, content review, or model evaluation experience (preferred)
Advanced degree or professional certification in the domain (preferred)

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: Whether your expertise is operational and recent, or secondhand and general — AfterQuery routes tasks by narrow specialty, not broad field.
A strong answer: A named specialty with the concrete artifacts you produced or decisions you owned — the types of cases, systems, filings, or analyses, and roughly how many.
Where people lose it: Answering at the level of the field ('I work in finance') instead of the sub-specialty and deliverable ('I built and defended DCF models for mid-market M&A, roughly 30 deals').