Publié il y a 4 jours
Licensed Physician (MD/DO) - Freelance AI Trainer
@ Mindrift
Toronto, ON · Ottawa, ON · Mississauga, ON · Hamilton, ON · Waterloo, ON
En bref
Mindrift is hiring independent contractors who hold an active, unrestricted US medical license (MD or DO) to review written clinical vignettes for a medical AI evaluation project. The work is task-based, self-scheduled with no minimum hours, paid per approved task, and carries a $50 one-time onboarding reward. Remote work is open only to physicians in eligible US states, with no patient contact.
Responsabilités :
- Evaluate clinical EHR vignettes with questions, answers and trap answers
- Score clinical reasoning quality of benchmark items
- Check reasoning chains and write short rationales
- Complete tasks through the platform against acceptance criteria
Résumé des exigences :
- MD or DO with active unrestricted US medical license
- Board certification or completed residency
- Direct patient care experience, attending preferred
- Broad multi-system diagnostic and treatment experience
- Strong clinical reasoning and evidence-based guideline use
- Written English C1+
Source et dates
Site carrière / système de candidatures · workable
- Date publiée par l’employeur
- 2026-11-06
- Première détection par notre source
- 2026-11-07
- Mise à jour du dossier source
- 2026-11-07
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Médecins et pratique avancée |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Permis et certifications | Active unrestricted US medical license |
| Formation | Diplôme professionnel (médecine, droit…) (exigé) |
| Domaines d’études | Medicine |
| Avantages mentionnés | Horaire flexible, Prime de rendement |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Mindrift
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
Be the “I” in AI with Mindrift. Work from anywhere on groundbreaking AI projects
Description complète de l’entreprise
Mindrift (mindrift.ai) is the expert-sourcing platform built by Toloka, a Nebius Group (Nasdaq: NBIS) company and a global leader in data services for AI since 2014. Mindrift’s CEO and co-founder, Olga Megorskaya, launched the platform to connect domain experts — from software engineers and physicians to linguists and lawyers — with AI training projects for the world's leading technology companies. Through Mindrift, over 10,000 professionals across 50+ domains and 15+ languages contribute to supervised fine-tuning, reinforcement learning from human feedback (RLHF), model evaluation, and red-teaming for frontier AI models developed by leading global technology companies. Operated by Toloka from Amsterdam, Netherlands, Mindrift offers flexible, fully remote, project-based opportunities — empowering experts to shape the future of generative AI, one task at a time.
- Abonnés LinkedIn
- 731 212
- Personnes associées sur LinkedIn
- 2 352
- Catégories d’activité
- Information Technology
- Internet
- Internet of Things
- Software Development
- Autres noms enregistrés
- Mindrift
- Mindrift - Data annotation
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 0
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
Mindrift (mindrift.ai) is the expert-sourcing platform built by Toloka, a Nebius Group (Nasdaq: NBIS) company and a global leader in data services for AI since 2014. Mindrift’s CEO and co-founder, Olga Megorskaya, launched the platform to connect domain experts — from software engineers and physicians to linguists and lawyers — with AI training projects for the world's leading technology companies. Through…
| Champ | Valeur |
|---|---|
| Secteur | Technology, Information and Internet |
| Taille | 501-1,000 employees |
| Type d’organisation | Public Company |
| Offres sur Jobsy | 10 |
| Voir la page |
About the company
Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. This is a task-based, independent contractor opportunity, not an employment relationship. Participation is limited to this project.
Project Highlights
- Earnings per approved task: a fixed rate for each task, set in advance
- Fully self-scheduled: no minimum hours and no set schedule; you choose which tasks to take and when
- Remote: open to US-licensed physicians based in eligible US states
- No patient contact, no malpractice exposure: you review written clinical cases
- All contributors are license-verified physicians
- $50 one-time onboarding reward, paid once your first task on the project is approved
What this project involves
We're looking for physicians (MD/DO) with an active, unrestricted US medical license to evaluate clinical EHR vignettes for a medical AI evaluation project. General and internal medicine are the main focus. Each task is a written clinical case, assessed against the project's acceptance criteria. Contributors may:
- Evaluate clinical EHR vignettes paired with a question, a proposed answer, and a distractor "trap" answer across diagnosis and treatment tasks, spanning cardiovascular, nervous, hematologic, respiratory, digestive, urinary, reproductive, musculoskeletal, and integumentary systems;
- Score the clinical reasoning quality of benchmark items: vignette accuracy and completeness, whether the vignette gives the answer away, answer correctness and gradeability, and trap quality;
- Check whether the reasoning chain reaches the answer from vignette facts alone, correct reasoning traces, and write short rationales.
Each case receives three independent blind reads, followed by physician adjudication. Real clinical complexity only. You're improving the AI tools you'll eventually use yourself.
What we look for
This project is a good fit for US-licensed physicians looking for a flexible, time-limited project they can fit around their other commitments. Ideally, contributors will have:
- Medical degree (MD or DO) and an active, unrestricted US medical license (verified at onboarding and re-checked monthly);
- Board certification or completed residency training, with direct patient care experience (attending-level preferred). Practising or retired physicians welcome;
- Broad, multi-system diagnostic and treatment experience (internal, family, emergency, or hospital medicine);
- Strong clinical reasoning: differential diagnosis, next-step management, and application of evidence-based guidelines;
- Prior experience in medical AI evaluation, clinical content or exam-question review, or medical annotation/QA (a plus);
- Strong written English (C1+).
This project is not suitable for medical students, unlicensed medical graduates, non-physician clinicians (NPs, PAs, nurses, pharmacists), or non-clinical healthcare titles.
How it works
Apply → Pass qualification(s) → Join the project → Complete tasks → Get paid for approved tasks
Flexibility
You decide whether, when, and how much to contribute. There are no minimum hours, set schedules, or required availability. Task availability varies with project phases. Tasks are submitted through the platform and are approved when they meet the project’s acceptance criteria.
Earnings
Earnings are paid only for completed and approved tasks. Each task type has a fixed rate. There is no time tracking and no hour logging. There are no tiers or speed adjustments to the rate. QA and adjudication tasks have a higher per-task rate.
- $50 one-time onboarding reward, paid once your first task on the project is approved.
- Quality incentives: additional earnings for high-quality approved tasks, on terms set out in the project guidelines.
Journal
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