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Why this grade This listing scored 37/100, which is an F. It lost the most ground on pay transparency. See the breakdown
- Remote clarity 15 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Description depth 14 / 20 How much the posting actually says about the work, measured in characters of real text.
- Freshness 8 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
-5 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Role Title: Radiologist
Role Type: Contractor
Location: Remote
micro1 is engaging Radiologist to contribute specialized knowledge on a customer’s advanced annotation project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Scope of Work
- Annotate hand and finger landmarks/keypoints using MediaPipe-style hand topology, ensuring accuracy and adherence to strict guidelines.
- Identify and mark anatomical joints, including the wrist, MCP (Metacarpophalangeal), PIP (Proximal Interphalangeal), DIP (Distal Interphalangeal), fingertips, and thumb-specific joints (CMC, MCP, IP, thumb tip).
- Precisely place landmarks following defined annotation protocols and specified tolerance thresholds.
- Infer and accurately annotate partially occluded or visually challenging joints and landmarks, reasoning through complex hand positions and object interactions.
- Interpret a wide range of hand poses, orientations, and perspectives to ensure consistent and high-quality annotations across varied image and video data.
- Review visual feedback, identify deviations from requirements, and make targeted corrections to maintain annotation quality at scale.
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 03 Sep 2026 Himalayas first sighting
Seen on 1 board over 0 days.