About Us Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. Role Overview We are looking for former management consultants to apply structured problem solving, business analysis, and executive-level communication to AI training and evaluation tasks. The role involves reviewing model responses, identifying reasoning gaps, and creating high-quality prompts, reference answers, and feedback based on real consulting-style problems. CONTRACT: Contractor assignment COMMITMENT: Subject to minimum weekly task submissions LOCATIONS: Remote, GLOBAL HOURLY RATE: $200-$280/h NOTES: Candidates should have recent experience at a top-tier or highly regarded management consulting firm. Responsibilities Evaluate AI-generated responses to business strategy and consulting-style problems . Assess the quality, structure, and completeness of model reasoning. Identify analytical gaps, weak assumptions, and unsupported conclusions. Write high-quality prompts and realistic consulting scenarios. Develop clear model answers and reference solutions . Apply structured consulting frameworks to business problems. Provide detailed written feedback to improve AI outputs. Adapt to evolving project guidelines and evaluation standards. Maintain a consistently high quality bar across assigned tasks. At least 1 year of professional experience at a top management consulting firm such as McKinsey, Bain, BCG, Strategy&, LEK, Oliver Wyman, or a comparable firm. At least part of that consulting experience must have been within the last 7 years . Undergraduate degree from a top-ranked university . Strong experience with structured problem solving and business analysis. Ability to evaluate complex business problems and develop clear recommendations. Excellent written English . Currently based in an English-speaking country .
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