Healthcare Research Data Annotator
Help shape the future of medical AI by annotating clinical datasets. Put your healthcare knowledge to work — remote, flexible, and impactful....
Labelbox’s expert network: per-project listings with published rates, weighted toward coding and language work.
Operated by
Labelbox
Work type
Per-project applications
Screening
AI interview + qualification tasks
Payouts
Weekly cycle
486 open Alignerr listings in the live feed, refreshed daily. Apply links go to Alignerr directly; where a referral programme exists, Skillora may earn a fee at no cost to you, and it never affects what is shown. Official site: alignerr.com
Filtering by rate hides per-task listings, which have no hourly equivalent.
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Alignerr is Labelbox’s network for AI training work. Labelbox sells data infrastructure to AI labs, and Alignerr is how it recruits the humans those labs need: preference labeling, response evaluation, and expert reference answers across coding, language, STEM and professional domains.
It runs as a job board. Each project is its own listing with its own published rate, you apply to specific projects, and accepted work happens inside the Labelbox platform. That per-project structure is why Alignerr usually has one of the largest catalogues in this feed.
Pay runs on a weekly cycle. Headline expert rates reach $150 an hour; most contributors work standard tiers well below that, and both ends are visible on the listings.
$10–200
per hour, published range
$60/hr
median listing
100
live listings publishing a rate
Computed from Alignerr’s own published rates on the live feed, not from survey estimates.
Every Alignerr listing publishes a rate, usually as a range. Generalist projects post in the teens to twenties per hour, expert projects from the $30s up, with advertised specialist ceilings around $150. Pay periods run Monday to Sunday, paid out the following week.
The catalogue leans hard into software engineering and language work, with expert tracks in STEM, medicine and law. The bar sits between DataAnnotation and Mercor: a professional or academic background in your subject helps and gates the expert tiers, but generalist projects exist and accept strong writers.
Because applications are per project, persistence works differently here: not getting one project means little, and contributors typically apply across several listings until one converts.
Alignerr screens with a recorded AI interview plus qualification tasks per project. The interview covers your background and domain reasoning; the qualification tasks are short samples of the actual work, graded against the project rubric before you get paid access.
The two failure modes are familiar: talking in generalities during the interview instead of reasoning through specifics, and rushing qualification tasks that are graded on exactness. Both are practisable, and the interview format is the same one the rest of this market uses.
Skillora runs the same format: a domain interview with an AI interviewer, followed by feedback on how you explained your reasoning. Take it as many times as you want before the one that counts.
Start a free practice interview