Première détection par notre source: il y a 24 jours
Biology PhD - Scientific Coder
@ Mercor
Toronto, Ontario
En bref
Mercor is hiring a remote contract Biology PhD to create scientific coding research problems for AI model training. The work covers sourcing research material, writing prompts and grading criteria, and calibrating tasks against frontier models. The role pays $70 per hour for 20+ hours a week over six weeks, with an immediate start.
Salaire :
70 $ de l’heure
Responsabilités :
- Source material from published papers, Kaggle datasets or repositories
- Write scientific prompts and grading criteria
- Calibrate tasks against frontier AI models
- Use Python, R or other languages for scientific computing
- Work with Git/GitHub and Docker for quality checks
Résumé des exigences :
- PhD in biology or a closely related field
- Depth in at least two subdomains: ecology, biochemistry, genetics
- Proficiency in Python, R or another relevant language
- Comfortable with Git/GitHub and Docker
- Peer-reviewed publications preferred
Outils et compétences
Source et dates
Type de source non vérifié · manatal
- Date publiée par l’employeur
- Non fourni
- Première détection par notre source
- 2026-10-17
- Mise à jour du dossier source
- 2026-10-17
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Recherche et sciences |
| Heures par semaine | 20 |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Doctorat (exigé) |
| Domaines d’études | biology, biological sciences, biochemistry, genetics, ecology |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Mercor
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.
We connect human expertise with leading AI labs and enterprises to train frontier models.
Description complète de l’entreprise
Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.
- Abonnés LinkedIn
- 654 507
- Personnes associées sur LinkedIn
- 5 250
- Bureaux déclarés
- San Francisco, California 94105, US
- Catégories d’activité
- Employment
- Software
- Recruiting
- Data Collection and Labeling
- Artificial Intelligence (AI)
- Machine Learning
- Autres noms enregistrés
- Mercor
- Le profil indique une agence de recrutement
- Oui
- Investissement total déclaré
- 483 600 000
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.
| Champ | Valeur |
|---|---|
| Secteur | Software Development |
| Taille | 51-200 employees |
| Siège social | San Francisco, California |
| Type d’organisation | Privately Held |
| Fondée en | 2023 |
| Offres sur Jobsy | 1 626 |
| Voir la page |
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Biology PhD Coding Experts
Type: Contract
Compensation: $70/hour
Location: Remote
Duration: 6 weeks
Commitment: 20+ hours/week
Role Responsibilities
- Source material from published papers, Kaggle datasets, or open-source repositories to create research problems.
- Write scientific prompts and develop grading criteria for correct answers.
- Calibrate tasks against frontier models, ensuring strong models fail more often than they succeed.
- Utilize Python, R, or other programming languages for scientific computing.
- Work with Git/GitHub and Docker for code execution and quality checks.
- Collaborate asynchronously and independently to meet deadlines and improve AI model performance.
Qualifications
Must-Have
- PhD in biology, biological sciences, biochemistry, genetics, ecology, or a closely related field.
- Depth in at least two subdomains: ecology, biochemistry, genetics.
- Proficiency in Python, R, or another relevant programming language.
- Comfortable with Git/GitHub and Docker.
Preferred
- Publications in peer-reviewed journals.
- Prior scientific software or research engineering experience.
Start Date
- Immediate
Interview Process
- Upload your resume and application form.
- A 25-minute conversational interview covering your background, experience, and motivations.
- Follow up within a few days with next steps and onboarding.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
- For any help or support, reach out to: [email protected]
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
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