This role is for one of our clients
Compensation: $100 per hour
Our research initiative focused on training AI agents to handle complex, real-world business and consulting work.
As a contributor, you'll help design and refine the scenarios used to evaluate and improve how AI systems approach multi-document, multi-stakeholder business problems. This is a long-term role with flexible hours and a consistent workload.
Key Responsibilities
Conduct market research and competitive analysis
Develop business cases, operational frameworks, and go-to-market strategies
Synthesize data into insights using presentations, memos, and models
Collaborate with stakeholders to define key metrics and decision points
Support strategic planning, scenario modeling, and opportunity evaluation
Ideal Qualifications
1.5+ years at a top management consultancy (e.g., McKinsey, BCG, Bain, or Big 5)
Strong analytical and communication skills, both written and verbal
Comfortable working independently in ambiguous or rapidly evolving contexts
Proficiency in PowerPoint, Excel, and basic data analysis tools
Experience advising on tech, AI, or SaaS industries preferred but not required
More About the Opportunity
Expected commitment: minimum 10 hours/week
Application Process
Submit your resume to get started
You'll complete a short form to detail your consulting background
We'll follow up within a few days with potential next steps
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
Contract and Payment Terms
You will be engaged as an independent contractor.
This is a fully remote role that can be completed on your own schedule.
Projects can be extended, shortened, or concluded early depending on needs and performance.
Your work will not involve access to confidential or proprietary information from any employer, client, or institution.
Payments are weekly on Stripe or Wise based on services rendered.
Please note: We are unable to support H1-B or STEM OPT candidates at this time.