Managed Workforce Strategy

Vetted for skill and character, our professionally-managed workforce receives the growth and training opportunities that naturally result in high-quality work.

Meet CloudFactory (00:52)

We deliver the work of an in-house team without the burdens of managing one

For over a decade, we have helped organizations do more with data by providing a highly scalable, managed workforce. Today, we are a global leader in providing managed workforce solutions for machine learning and business process optimization.

  • We screen our data analysts for character, skill, tech savvy, and cultural awareness. Each data analyst joins a small team, where their strengths are known and valued by leaders. We have a unique management approach.
  • We give you a dedicated project manager, who leads your analyst team, serves as your day-to-day contact, and optimizes your team’s outputs.
  • We also provide a client success manager, who advocates for you, tracks outcomes to ensure target metrics are achieved, and can troubleshoot as needed.

Learn about our approach to ensuring your long-term success.

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CloudFactory has people who care

When asked what set us apart, one client said, “CloudFactory has people who care.” Our data analyst teams are known for high-quality work, and they enjoy working with the data that trains and powers the world’s most innovative technology.

This reputation, and our clients’ results, don’t come by accident. We take a purposeful approach in recruiting, training, and growing our teams. Data analysts get regular opportunities for professional development, leadership, and community service. These investments result in worker accountability, engagement, and a bias toward action - all of which contribute to better outcomes for your organization.

Skill and Character

Leave your project in good hands. CloudFactory selects each data analyst for your team based on a comprehensive, multi-level assessment. You can be confident that your data is being handled by individuals who are skilled and known.

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Accountability

Our data analysts view themselves as an extension of your team. Our unique, flexible delivery model has built-in monitoring and focus techniques to support individual accountability, and we follow up on lower performance with retraining. High performers have opportunities to advance, which we have found contributes to higher quality work.

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Context and Instruction

Reduce lead time and time to market. Prior to each project, your dedicated project manager delivers comprehensive in-person and virtual training to introduce the data analysts to task instructions, cultural context, and big-picture impact.

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Growth Opportunities

CloudFactory provides every data analyst with leadership opportunities, enrichment programs, and bonuses for excellent work. High performers are given the opportunity to advance within the organization, should they choose it. These practices improve worker engagement and retention, allowing us to provide high-quality work over the long term for our clients.

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CloudFactory's People Who Care

23M

average data analyst tenure

25%

of data analysts promoted to project manager

30K

hours per year of professional development

What Our Clients Have To Say

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The CloudFactory team quickly caught on to what we were doing. They understood the eccentricities of the work and asked the right questions and acted very quickly on any feedback we had.

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Gus Goldsack

Product Manager

Bizly
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Luminar Takes AV to Safer Distances

CloudFactory helped Luminar launch a product that dramatically increases autonomous vehicle perception.

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Ibotta improves UX using high volume transcription

Ibotta finds the people and technology to scale a data-verification process during the busiest retail season of the year.

Recommended Reading

Human in the Loop: Accelerating the AI Lifecycle

Human in the Loop: Accelerating the AI Lifecycle

The poor utilization of people in the AI lifecycle can be costly and yield low-quality data and poor model performance. Learn how to strategically deploy a scalable human-in-the-loop workforce to build and maintain high-performing machine learning models, from proof of concept to production.

A Study on Quality Data Processing at Scale

A Study on Quality Data Processing at Scale

How does a managed workforce compare to an anonymous crowd? Is it better to pay by the hour or by the task? Data-science tech developer Hivemind designed an experiment between anonymous workers and a managed team on a series of increasingly complex tasks. Watch the webinar to learn which workforce delivered the highest-quality structured datasets and at what relative cost.

A Day in the Life of a Team Lead

A Day in the Life of a Team Lead

Meet Mercy Mandela, a Delivery Team Lead that helps ensure that we deliver quality data labeling to CloudFactory clients across the globe. 

Contact Sales

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