Freelance Business Consultant, ML Research
Keystone Recruitment
Job Overview
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Job Description
Freelance Business Consultant, ML Research
Keystone Recruitment is partnering with a leading AI research lab to find experienced management consulting professionals for a project-based role. As a Freelance Business Consultant, ML Research, you will play a crucial role in enhancing advanced AI systems by translating real-world consulting workflows into structured tasks, datasets, and evaluation criteria. This opportunity is ideal for independent professionals who excel in structured thinking and asynchronous, deliverables-driven collaboration.
Key Responsibilities
- Break down end-to-end consulting workflows (problem structuring → analysis → synthesis) into clear task specifications and evaluation rubrics.
- Review, edit, and benchmark AI-generated outputs such as market analyses, strategic recommendations, operating models, and executive summaries.
- Create high-quality reference examples (e.g., issue trees, analytical models, slide outlines) that reflect professional consulting standards.
- Identify logical gaps, unsupported assumptions, and weak reasoning in AI outputs; document failure patterns and improvement guidance.
- Collaborate asynchronously with researchers and fellow contributors using structured documentation and written feedback.
Ideal Qualifications
- 2+ years of experience at a top-tier management consulting firm or reputable boutique consultancy.
- Strong understanding of hypothesis-driven problem solving and executive-level synthesis.
- Advanced skills in PowerPoint and Excel.
- Experience with market sizing, financial/operating analysis, and qualitative research.
- Excellent written communication and structured thinking skills.
- Ability to manage time effectively and meet deadlines in a remote setting.
Role Details
This freelance position expects a commitment of 10+ hours per week, structured around deliverables with defined quality standards. It offers fully remote and flexible scheduling, with ongoing support for best practices and clarifications.
Application Process
To apply, submit a brief resume or LinkedIn profile detailing your consulting background and expertise. You will complete a short skills questionnaire, and a time-boxed exercise may be used to assess your fit. Selected candidates will be contacted with next steps and additional project details. Keystone Recruitment is an equal opportunity recruiter, considering all qualified applicants without regard to legally protected characteristics, and reasonable accommodations are available upon request.
Contract and Payment Terms
Engagement will be as an independent contractor, offering fully remote work on a flexible schedule. Project scope may be adjusted based on needs and performance. Work will not involve access to confidential or proprietary information from any employer, client, or institution. Weekly payments will be made via supported payment platforms based on services rendered.
Key skills/competency
- Management Consulting
- AI Research
- Workflow Structuring
- Problem Solving
- Evaluation Criteria
- Market Analysis
- Strategic Recommendations
- PowerPoint
- Excel
- Asynchronous Collaboration
How to Get Hired at Keystone Recruitment
- Research Keystone Recruitment's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Customize your resume to highlight experience in management consulting, AI evaluation, and structured problem-solving relevant to Keystone Recruitment's projects.
- Showcase consulting expertise: Emphasize your background with top-tier firms, hypothesis-driven problem solving, and advanced PowerPoint/Excel skills.
- Prepare for skills assessment: Be ready for a potential time-boxed exercise evaluating your ability to break down workflows and analyze AI outputs, a core requirement for this Freelance Business Consultant, ML Research role.
- Highlight remote collaboration skills: Demonstrate strong written communication and experience collaborating asynchronously in a deliverables-driven environment.
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