📍
Mexico City, Mexico

Operations Specialist

No experience
Operations
Posted:
December 29, 2025

Scale

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

As an early member of our operations team, you'll be accountable for driving revenue by ensuring that Scale AI meets customer commitments in a timely manner while maintaining the highest quality standards. You will manage our supply operation funnel by building and running solutions, tools, and processes by working with a cross-functional team including Customer Operations, Product Operations, Product Managers, and many others. You will be solving problems no one has solved before, and you will need to be relentless in driving stellar results, running pilots, tests, and experiments. You’ll come up with creative solutions to bottlenecks. The blend of operations and ownership of our most important outcomes make this a unique and exciting role at the heart of Scale’s daily operations.The ideal candidate is scrappy, analytical, empathetic, outcome focused, and above all someone who drives and inspires results.

Please note this is a contractor role with a fixed rate salary of $11,400 USD annually.

You will:

Ideally you’d have:

Nice to 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.
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