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Crowd Platform

We let professionals with medical judgement take part in medical data annotation and earn rewards in their own fragmented time. The platform standardises annotation work and makes it payable per piece, and provides identity verification, online annotation tools, multi-stage quality control and settlement guarantees —— participants' professional judgement is priced accurately and data quality is strictly safeguarded.

Part-time for physicians · medical students Online annotation workspace Real-name & qualification verification Rewarded per task Multi-stage quality control
Why Zhonghe

What medical data annotation lacks is never manpower,
but medical judgement

A tiny lesion in an image, an abnormal interval in a waveform, a key sentence in a medical record —— these judgements require long professional training. The Crowd Platform breaks this work into standardised, verifiable task units, so physicians, medical students and professional annotators can take part on their own schedule and earn rewards that match their expertise.

Transparent pricing, accounts that add up when you finish

Each task's annotation unit price, estimated hours, acceptance criteria and QC standards are fully displayed before claiming. Once completed, pricing follows actual quality, and reward details can be checked item by item.

Flexible hours, no online-time requirement

Tasks are released in batches and can be claimed at any time and completed in stages. Most single tasks take 10–40 minutes — suited to gaps between clinics, downtime on shift and fragmented evening hours.

Skills accumulate, levels rise

From basic annotation to specialist annotation and then quality-control review, your level is decided by actual annotation quality and pass rate; the higher the level, the wider the range of tasks you can take on and the higher the unit price.

Quality & Compliance

Quality and compliance are this platform's baseline

Medical data annotation is special in that a single mistake can affect a model's judgement. The platform therefore sets hard constraints at three levels.

Three-stage quality control

After submission a machine pre-check runs first, then cross review; high-risk tasks receive final review by a specialist physician, and only annotations that pass count towards reward.

Raw data never leaves its domain

Annotation takes place in a controlled environment, task data is displayed masked, and participants cannot export, download or retain any raw medical data.

Full operation traceability

Every claim, annotation, revision and review leaves a timestamp and operation log, forming a traceable chain of evidence.

Who Can Join

Four participant roles,each doing the part they do best

Different professional backgrounds map to different task levels. You can stick to basic annotation, or take on specialist annotation and quality-control review once you pass the assessment.

Clinicians · specialist physicians

Take on specialist annotation and final review of imaging, waveforms and medical record text. Suited to radiology, ultrasound, obstetrics and gynaecology, urology, rehabilitation and similar fields, and can be done in gaps between clinics and on shift.

Advanced tasks · highest unit price

Medical students · residents in training

Complete basic and advanced annotation tasks and learn by doing: the platform provides annotation specifications and an example library, and passing the trial annotation assessment lets you take on imaging outlining, text structuring and similar tasks.

Beginner-friendly · specifications you can learn

Professional data annotator

Those with annotation industry experience can take the advancement assessment directly and take on large-volume, clearly specified tasks; long-term stable participants can apply to become dedicated batch contractors.

Batch tasks · steady supply

Quality-control reviewer

Selected from participants with a consistently high pass rate, they handle cross review and dispute decisions, and are paid by review volume with a quality bonus.

Requires a qualifying quality record
Platform Modules

Two core modules,covering everything from entry to settlement

First complete identity verification to gain access, then enter the online annotation workspace to claim tasks. Every step has clear rules and visible progress.

How It Works

Five steps,from registration to payout

Every step has a clear time expectation and status indication — you will never be left wondering what comes next after submitting.

01

Registration and real-name verification

Register with your mobile number, complete real-name verification and set up a settlement account. About 10 minutes.

02

Qualification check and assessment

Submit practising or academic and professional credentials, complete specification training and the trial annotation assessment. Feedback within 1–2 working days.

03

Claim tasks

Filter by modality, difficulty and unit price in the Task Hall, check the pricing and acceptance criteria, then claim.

04

Online Annotation

Complete annotation in the workspace; the system pre-checks in real time and flags suspected errors or omissions, which you can correct before submitting.

05

QC approval and settlement

Once review is passed the work counts as valid workload and enters settlement on quality-based pricing; reward details can be checked item by item.

Task Types

Four types of medical data,each with a different professional threshold

The task type decides the background required and how it is priced. You can focus on just one type, or expand gradually as your level rises.

Medical Imaging

Imaging outlining and lesion annotation

Outline, measure and grade target structures in ultrasound, X-ray, CT, MRI and other imaging. These tasks demand the highest anatomical and image-reading ability, and carry the highest unit prices.

  • Outlining typeOrgan contours, lesion boundaries, region segmentation
  • Measurement typeDiameter lines, angles, volumes and blood-flow parameters
  • Grading typeAssign a grade or positive / negative determination according to the specification
Example task · imaging outlining
Transvaginal ultrasound · ovarian structure outlining28 frames · specification ref. v2.1 · est. 25 min
¥ 18.0 / caseL3 eligible
Uterine fibroid boundary outlining16 frames · incl. maximum diameter measurement · est. 15 min
¥ 12.0 / caseL2 eligible
Grading of hysterosalpingography imagesSingle frame + grading · est. 6 min
¥ 6.5 / caseL1 eligible
Physiological Waveform

Waveform segmentation and event determination

Annotate time intervals and event types on synchronously acquired physiological waveforms, such as parameter-change segments during treatment, or event points on pelvic floor EMG and pressure curves.

  • Segment type: annotate start and end time points per the specification, with tolerance measured in milliseconds
  • Event type: mark where contractions, relaxation, abnormal fluctuations and other events occur
  • Correlation type: match waveform events one-to-one with medical records and treatment parameters
  • Review type: check others' annotations for agreement and boundary accuracy

The workspace has built-in waveform zoom, rulers and shortcut annotation, supports millisecond positioning, and annotations can be reviewed and revised at any time.

Clinical Text

Medical record text structuring and entity annotation

Extract structured fields from masked clinical course records and examination reports, annotating entities, relations and negation / suspicion semantics.

  • Field extraction: chief complaint, medical history, medication, surgery and follow-up indicators
  • Entity annotation: symptoms, diagnoses, examination items, sites and times
  • Semantic annotation: positive / negative / suspected / negated and other semantic qualifiers
  • Terminology alignment: normalise to standard codes using a unified term set

Text tasks are characterised by clear rules and ease of entry; they are usually the first task type for new participants and the main route to raising your level.

Speech & Follow-up

Speech transcription and follow-up record organisation

Transcribe follow-up calls and consultation recordings, separate speakers and extract key information, to build follow-up datasets and adherence analyses.

  • Transcription and correction: accurate transcription of medical terminology, dialects and accents
  • Speaker separation: distinguish the speech of physicians, patients and family members
  • Key information extraction: symptom changes, medication adherence, follow-up scheduling
  • Privacy review: confirm that recordings and texts contain no personally identifiable information

Tasks involving speech require an additional confidentiality and privacy commitment; the speech provided by the platform has already been masked and stripped of identity information at the point of capture.

Quality & Privacy

Every annotation you makegets reviewed

This is both a quality requirement and a protection for participants: clear acceptance criteria mean no wasted rework because subjective standards were unclear.

Gate 01

Machine pre-check

On submission the system validates automatically against the rules: field completeness, reasonableness of the outlining range, time-point boundaries and logical consistency; suspected errors or omissions are flagged for you to correct.

Gate 02

Cross review

Blind review is carried out by participants at the same or a higher level; agreement means it passes. Any disagreement goes into the dispute pool for a higher-level reviewer to decide.

Gate 03

Specialist final review

High-risk and specialist tasks undergo final review by clinicians, with a proportion sampled for full re-check, forming the final quality-control conclusion and the basis for pricing.

The platform does not give participants access to any raw medical data.Task data is masked and displayed in a controlled environment; screenshots, exports, transcription and distribution are prohibited, and pages carry watermarks and operation logs. Accounts that breach these rules are terminated immediately and held accountable. Participants must sign confidentiality and compliance commitments, and the platform fulfils its obligations for personal information and data security protection as required.
Reward

How pricing works,set out clearly from the start

Primarily per-piece, weighted by quality and settled on schedule. Unit prices vary with difficulty and the professional level required, with no hidden deductions.

Per-piecesystem
Settled at the per-task unit price
Each task shows its unit price and acceptance criteria before you claim it
By qualitypricing
Quality determines the final reward
Full pricing once review is passed; tasks needing correction are re-priced according to the corrected result
CycleSettlement
Fixed settlement cycle
Valid workload is aggregated at the agreed cycle, and details can be checked item by item in the workspace
Levelbonus
The higher the level, the higher the unit price
A consistently high pass rate brings a quality bonus and priority claiming rights

* Actual per-task unit prices, settlement cycles and tax handling are subject to the platform's task descriptions and the service agreement signed by both parties. Income earned by participants on the platform is personal service income, and related taxes and fees are handled in accordance with the law.

FAQ

What you may want to know before joining

I have no annotation experience — can I take part?

Yes. The platform provides annotation specifications, an example library and operational training, and completing the trial annotation assessment qualifies you for basic tasks. Medical students and residents usually start with text structuring and basic outlining tasks, and level up gradually once their pass rate is stable.

How much fixed time do I need to commit each day?

There is no required online time and no daily minimum task volume. Tasks are released in batches; you can claim one at a time, or take a batch and finish it over several days. Unfinished tasks are automatically reclaimed and re-released.

Will I see patients' original records?

No. Data in tasks is masked on the principle of minimum necessity and displayed in a controlled environment: only the content needed for annotation is shown, with no names, ID numbers, contact details or other personally identifiable information, and exporting or retaining it is not permitted.

How is the reward calculated, and when is it paid?

Tasks are priced per item; once review is passed they count as valid workload and are settled in aggregate at the agreed cycle. Reward details (task ID, unit price, status, review conclusion) can be checked item by item in the workspace, and any discrepancy can be appealed.

I work at a hospital — is there a compliance risk in taking part?

Participants take on platform tasks as individuals; they are not tied to the data ownership of any specific care provider, nor do they bear the responsibilities of a data holder. What circulates on the platform are processing tasks that have been masked and authorised. If your institution has separate rules on outside part-time work, please confirm and comply with your employer's requirements first.

Want to use your expertise in medical data annotation?

Whether you are a clinician, a medical student or an experienced professional annotator, completing identity verification lets you view the currently open tasks and pricing standards.