Senior Consultant in Sydney

Senior Consultant in Sydney

Sydney Freelance 135000 - 165000 $ / year (est.) Remote
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At a Glance

  • Tasks: Create realistic consulting scenarios and design tasks for AI agents.
  • Company: Join Mindrift, a leader in AI and machine learning data solutions.
  • Benefits: Flexible remote work and the chance to shape AI learning.
  • Other info: Work independently in a dynamic, project-based environment.
  • Why this job: Leverage your MBB experience to influence next-gen AI systems.
  • Qualifications: 3+ years at McKinsey, BCG, or Bain with strong problem-solving skills.

The predicted salary is between 135000 - 165000 $ per year.

Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners. Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting‑edge AI initiatives. Backed by Toloka's deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next‑generation generative models learn, reason, and perform.

We are now launching a Management Consulting domain focused on translating real‑world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are building a team of McKinsey, BCG, and Bain consultants who can convert authentic project experience into end‑to‑end examples — from problem structuring and work planning to analysis, synthesis, and client‑ready recommendations. You will join a team of McKinsey and Bain consultants shaping how AI learns high‑level business reasoning.

Who We're Looking For

  • Consultants with 3+ years of experience at McKinsey & Company, Boston Consulting Group, or Bain & Company.
  • You should have hands‑on project experience:
    • Structuring ambiguous client problems
    • Building models and synthesised findings
    • Producing client‑ready deliverables
    • Forming recommendations under uncertainty
  • No deep technical background required, we'll onboard you on the lightweight tools involved.

What You'll Do

  • Build realistic consulting project environments: create detailed project scenarios (industry context, financials, constraints, incomplete information)
  • Design structured consulting tasks for AI Agents: break projects into tasks that mirror real consulting work such as market sizing, due diligence, cost reduction, growth strategy, or operational diagnosis
  • Define evaluation criteria and quality standards: develop a grading approach, evaluation criteria and golden solutions for each task that will be used to train and calibrate an LLM‑based grading system that evaluates AI outputs at scale

This is a remote individual‑contributor project‑based role focused on analytical design and evaluation.

Skills & Requirements

  • 3+ years at McKinsey, BCG, or Bain
  • Strong structured problem‑solving skills
  • Ability to translate vague problems into clear analytical steps
  • High attention to logical consistency
  • Independent working style
  • Clear written English (B2+)

Senior Consultant in Sydney employer: Mindrift

Mindrift is an exceptional employer for freelance Energy Systems Engineers, offering flexible project-based opportunities that allow you to work with leading tech companies while honing your skills in AI and energy engineering. With a focus on professional growth, you can expect a collaborative work culture that values innovation and encourages the application of your expertise in Python and energy systems. The competitive pay rates and potential for incentive payments make this an attractive option for those looking to engage in meaningful projects without the constraints of permanent employment.

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Contact Details:

Mindrift Recruitment Team

We think you need these skills to ace Senior Consultant in Sydney

Structured Problem-Solving Skills
Analytical Design
Project Structuring
Client-Ready Deliverables
Recommendation Formation
Task Design for AI Agents
Evaluation Criteria Development