Builds a network of experienced management consultants for potential future AI evaluation projects. Responsibilities may include creating grading criteria for consulting deliverables, evaluating AI-generated or human-created work, providing evidence-based written feedback, and calibrating judgments with senior reviewers. Candidates should have management consulting experience and strong skills in structured problem-solving, market sizing, financial modeling, business-case development, and executive presentations.
This role is for one of our clients
Compensation: $100-$150 per hour
We are building a network of experienced management consultants for potential future projects with leading AI research organizations. These projects may focus on evaluating how effectively AI systems perform real-world consulting work.
There is no immediate project opening, but qualified applicants may be contacted as relevant opportunities become available.
Requirements
Potential Responsibilities
Future projects may involve:
- Designing precise, task-specific grading criteria for consulting deliverables, including market analyses, strategy recommendations, financial models, client-ready presentations, and implementation roadmaps
- Evaluating AI-generated or human-created work against established criteria
- Providing detailed written justifications for evaluations and scores
- Applying consistent, evidence-based judgment so that assessments are reproducible and defensible
- Incorporating structured feedback from senior reviewers and iterating on submitted work
Specific responsibilities will vary depending on the project.
Ideal Qualifications
- 1+ years of professional management consulting experience
- Experience at a leading strategy or management consulting firm (such as McKinsey, Bain, BCG, or equivalent)
- Strong command of structured problem-solving, market sizing, financial modeling, business-case development, and executive-level presentation development
- Exceptional written communication skills
- A detail-oriented and consistent approach to evaluating complex work
- Comfort receiving feedback and calibrating judgment against established standards
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
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Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
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