Première détection par notre source: il y a 24 jours
AI Research Expert - Fully Remote | Upto $145/hr
@ Mercor
Toronto, Ontario
En bref
Mercor is hiring a remote contract ML Research PhD Expert to evaluate AI-generated content and review complex machine learning research. The work involves structured feedback, rubric development and independent asynchronous delivery against deadlines. Pay is $110 to $145 per hour.
Salaire :
110 $–145 $ de l’heure
Responsabilités :
- Evaluate accuracy and depth of AI-generated content
- Review complex machine learning research
- Provide structured feedback to AI research teams
- Develop evaluation rubrics and benchmarks
- Collaborate with subject matter experts on datasets
Résumé des exigences :
- PhD in ML, computer science, AI or related field
- At least one ICML, NeurIPS or ICLR main conference paper
- Two or more publications at these venues preferred
- Demonstrated original ML research experience
- Expertise in reinforcement learning 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
- 2026-10-18
- Mise à jour du dossier source
- 2026-10-18
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 |
| 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 | Machine Learning, Computer Science, Artificial Intelligence |
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: ML Research PhD Experts (ICML / NeurIPS / ICLR Publications)
Type: Contract
Compensation: $110–$145/hour
Location: Remote
Role Responsibilities
- Evaluate the accuracy and depth of AI-generated content to strengthen reasoning and rigor in model outputs.
- Review complex machine learning research for alignment with domain principles and methodologies.
- Provide clear, structured feedback to AI research teams to improve training data quality and downstream performance.
- Develop evaluation rubrics and benchmarks for assessing AI-generated tasks and solutions.
- Collaborate with subject matter experts to ensure consistency, relevance, and coverage across datasets.
- Work independently and asynchronously to meet deadlines while improving AI model performance.
Qualifications
Must-Have
- PhD in Machine Learning, Computer Science, AI, or a closely related field.
- Published at least one main conference paper at ICML, NeurIPS, or ICLR.
- Strong preference for candidates with 2+ publications at these venues.
- Demonstrated experience conducting original ML research.
Preferred
- Expertise in Reinforcement Learning (RL).
- Experience with Meta-Learning.
- Knowledge of Recursive Self-Improvement.
- Familiarity with AI for Science (e.g., weather forecasting, protein modeling, scientific discovery).
Start Date
- Urgent; initial data/results expected Monday / Tuesday 27th July.
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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