Quality First.

  • All of our contributors are domain experts who are rigorously interviewed and task‑tested before they contribute to your dataset. The level of rigor in our screening process matches that of full interview loops at elite companies.
  • We take a high-touch approach to managing our pipelines. We obsess over detail, from the contributor selection to the task interface, pipeline design, and automated quality checks, to maintain our high bar for quality.
  • Our contributor screening and labeling infrastructure layers proprietary technology on top of industry best practices to deliver on contributor and data quality at scale.

Use Cases

RLVR

RLHF

Evals

SFT

Our offerings

  1. Data and Evals – Hand us your specifications and receive your data. Let us handle every aspect of your dataset creation. Our flexible annotation platform supports highly customized use cases, with robust systems in place to ensure quality.
  2. Managed Workforce – Leverage our experts with your in-house labelling platform. We manage sourcing, screening, onboarding, and off-boarding.

Contributor Selection

1

Targeted Sourcing

2

Resume Screening

3

AI Interview

4

Domain Expertise Test

5

Expert Review

6

Selected 1%

We ensure that our contributors are exceptional in their domain. Contributor output is continuously monitored on a project, and bad output is promptly identified and actioned to ensure a high standard of data quality.

Tasking Process

1

Attempt

2

Multiple Stages of Human Review

3

Batch Audit

4

Expert Audit

5

Delivery


Contact us: humandata@mangodesk.com Backed by Y Combinator