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Rise Data Labs

Human-in-the-loop AI data labeling

Overview

Rise Data Labs provides data labeling, annotation, and evaluation to train AI systems using a human-in-the-loop approach with a large pool of US-based professionals. It uses an automated talent engine to source, vet, and match subject matter experts who work remotely as contractors on image, video, and text tasks, RLHF, data validation, and content review. The company differentiates itself through a large, vetted US-based, college-educated workforce and a scalable pipeline that enables rapid turnaround for domain-specific data at scale. Its goal is to deliver accurate, diverse, and scalable AI training data and evaluation services to help organizations build and assess AI models more effectively.

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About Rise Data Labs

Simplify's Rating
Why Rise Data Labs is rated
C
Rated C on Competitive Edge
Rated B on Growth Potential
Rated D+ on Differentiation

Industries

Data & AnalyticsConsultingEnterprise SoftwareAI & Machine Learning

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

New York City, United States

Founded

N/A

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Simplify's take

What believers are saying

  • November 2, 2026 Tory Burch Foundation listed BAM Ventures, Dispatch Ventures, and a16z scouts.
  • November 2026 career pages show remote U.S. operations and active hiring for operations.
  • RLResearch's November 9, 2026 snapshot labels Rise a verified enterprise workflows supplier.

What critics are saying

  • LinkedIn shows only 1-10 employees, making delivery capacity dependent on contractors.
  • A 500k-person marketplace invites quality inconsistency, impersonation, and data-security failures.
  • OpenAI and model labs internalize labeling, eliminating Rise's core revenue within twelve months.

What makes Rise Data Labs unique

  • October 27, 2026 website touts 500k+ U.S.-based experts for high-fidelity AI data.
  • Rise Data Labs pairs human trainers with automated sourcing, vetting, matching, and scheduling.
  • The firm focuses on finance, healthcare, law, and other judgment-heavy domains.

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