Première détection par notre source: il y a 22 jours
Business Owners & Company Executives — Enterprise Data Partnership (30–200 Employees) — Canada
@ 24-MAG
Toronto, Ontario
En bref
24-MAG is seeking established companies with 30–200 employees to join a paid enterprise data partnership. Selected firms would contribute internal documentation, SOPs, workflow histories and CRM metadata to AI training and evaluation, while keeping ownership of their data. Commercial terms are set individually based on dataset size, workflow complexity and data quality.
Responsabilités :
- Contribute SOPs, playbooks and process documentation
- Share workflow histories and CRM metadata
- Provide business context for selected materials
- Support validation of dataset quality and accuracy
- Remove sensitive and confidential information
Résumé des exigences :
- 30–200 employees
- Mature, repeatable internal processes
- Substantial internal documentation
- Active use of modern business software
- Willingness to collaborate on secure data preparation
Outils et compétences
Source et dates
Type de source non vérifié · manatal
- Date publiée par l’employeur
- Non fourni
- Première détection par notre source
- 2026-10-20
- Mise à jour du dossier source
- 2026-10-20
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Domaine | Opérations |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
24-MAG
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 2 |
We are sharing a paid enterprise partnership opportunity for established companies with 30–200 employees, mature operational workflows, substantial internal documentation, and repeatable business processes to contribute structured enterprise data and operational knowledge to advanced AI training and evaluation initiatives.
This is not an individual employment opportunity. The programme is designed for companies whose internal processes, documentation, workflow histories, and operational frameworks can help AI systems better understand how real businesses function. Participating organisations retain ownership of their underlying data, while strict contractual and security controls govern processing and downstream use.
Partnership Scope
Enterprise Documentation & Knowledge
- Contribute relevant internal documentation suitable for structured AI training and evaluation
- Share SOPs, playbooks, knowledge bases, templates, and process documentation where appropriate
- Identify materials that reflect mature and repeatable business processes
- Provide operational context that helps explain how workflows function in practice
- Support structured organisation and validation of contributed materials
Operational Workflows & Processes
- Share examples of well-defined workflows employees execute repeatedly
- Provide relevant project-management and operational process artefacts
- Contribute structured examples of recurring business activities and task execution
- Help represent realistic enterprise workflows across modern software environments
- Document how processes, tools, roles, and outcomes connect within the organisation
Business Systems & Workflow Data
- Contribute appropriate CRM and workflow metadata where relevant
- Provide task-execution histories or related operational records suitable for the programme
- Share templates, operational frameworks, and business-process artefacts
- Support representation of realistic enterprise activity across internal systems
- Help identify datasets with strong operational value and contextual depth
Data Security & Confidentiality
- All contributed data is handled under strict contractual protections
- Original datasets are retained only for necessary processing purposes
- Sensitive and confidential information is removed before eligible downstream use
- Customer information is not exposed or publicly shared
- Original datasets are deleted after processing, while participating companies retain ownership of their underlying data
Partnership Coordination & Validation
- Collaborate on determining which datasets and workflows are appropriate for inclusion
- Provide business context surrounding selected operational materials
- Support validation of process documentation and workflow accuracy
- Help assess dataset quality, completeness, and operational relevance
- Contribute domain expertise where interpretation of company processes is required
Ideal Company Profile
- Approximately 30–200 employees
- Strong operational maturity and established internal processes
- Significant internal documentation and organisational knowledge
- Well-defined workflows that employees execute repeatedly
- Active use of modern software platforms and business tools
- Strong SOPs, playbooks, knowledge bases, or process documentation
- Meaningful operational history that can support realistic AI training and evaluation
- Ability to identify useful business materials while appropriately protecting sensitive information
- Willingness to collaborate on secure data preparation, review, and validation
Relevant Company Types
- Technology companies
- BPOs and recruiting firms
- Financial services firms
- Consulting businesses
- Professional services organisations
- Legal and compliance organisations
- Healthcare administration teams
- Logistics and operations businesses
- Other process-intensive organisations with mature internal workflows
Examples of Relevant Data
- Internal documentation
- SOPs and playbooks
- Knowledge bases
- Process documentation
- Project-management workflows
- Internal communications suitable for the programme
- Business-process artefacts
- Templates and operational frameworks
- CRM and workflow metadata
- Task-execution histories
Partnership Details
- This is a commercial enterprise partnership, not an individual employment opportunity
- Selected companies will enter into paid partnership arrangements based on the scope and value of the data contributed
- Commercial terms are determined individually based on dataset size and volume, workflow complexity, uniqueness of operational knowledge, data quality, and the domain expertise represented
- The programme is intended solely to support AI training and evaluation in realistic enterprise settings
- The objective is not to replicate participating businesses, products, customers, or competitive advantages
- Original datasets are retained only for necessary processing
- Sensitive information is scrubbed before downstream use
- Confidential information is removed
- Customer information is not exposed
- Data is not publicly shared
- Original datasets are deleted after processing
- Participating companies retain ownership of their underlying data
About the Platform
This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.
By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy
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