📍
San Francisco, CA

AI Strategy Consultant, Frontier Tech

No experience
Technology & Digital
Software engineering
Posted:
December 28, 2025

Scale

Data labelling and model evaluation platform
72.7
Palpable Score
Apply >view company >

As a member of our Frontier Tech Consultant team, you will play a critical role in advancing cutting-edge AI innovations by conducting high-impact experiments and ensuring seamless execution at the highest quality standards. Your work will directly contribute to Scale AI’s growth, shaping the future of artificial intelligence.

In this role, you will be working on various types of projects, including but not limited to: research experiments, dataset generation, data quality improvements, and in-depth technical analysis. You will tackle complex, technical and operational challenges while collaborating closely with Scale’s ML research scientists and SPM team.

The ideal candidate is analytical, detail-oriented, and results-driven, with strong problem-solving abilities and excellent communication skills. We are looking for someone who thrives in a fast-paced environment, is proactive in overcoming challenges, and is committed to delivering exceptional outcomes. If you are eager to contribute to the forefront of AI innovation, we encourage you to apply.

You will be responsible for:

Ideally you’d have:

About the company

Scale

Company overview
Scale builds data infrastructure and tooling used to train, evaluate, and deploy AI systems, including work tied to RLHF, model evaluation, and enterprise AI workflows. Scale sells products like the Scale Data Engine and supports both private-sector and government customers building AI applications. Scale positions the company around “reliable AI systems” and operational excellence alongside software. Scale also runs a large set of roles across engineering, applied AI, operations, and go-to-market teams tied to AI delivery.

Locations and presence

Scale lists San Francisco as the headquarters and commonly hires into hubs like San Francisco and New York, with some roles also listing Seattle. Scale’s careers pages tend to specify location on each role rather than publishing a single, company-wide remote or hybrid policy in one place.

Palpable Score

72.7
/ 100
Scale has real early-career entry points through a dedicated university hub, recurring intern and new grad roles, and a named new grad program for Strategic Projects. Scale is better than many AI startups on transparency, with a published SWE hiring flow and a salary band on at least one flagship new grad posting. Early-career outcomes and stability are the main limiters because public signals point to high intensity and the company has had recent layoffs, while early-career conversion and promotion metrics are not published.
view full company profile >

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