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Mundo AI

Multilingual multimodal training data provider

Member of Technical Staff - Software

Software EngineeringConfirmed live in the last 24 hours
Full-timeVancouver, BC, CanadaCA$140k - CA$210k /yrIn-person

About the Job

Requirements

  • Experience leading complex, ambiguous systems design work from the initial problem through a completed outcome.
  • Ability to combine clear thinking with hands-on execution and operate at strategic and detailed levels.
  • Ability to communicate with external and internal teams and make sound decisions with incomplete information.
  • Ability to learn new domains quickly, work with technical tools and data, and adapt when priorities change.
  • High agency, low ego, good commercial judgment, and a strong sense of ownership.

Responsibilities

  • Understand client needs and turn unclear goals into a clear, practical plan.
  • Lead work from discovery through delivery, establishing scope, priorities, milestones, decisions, and owners.
  • Set quality standards, review work, and create processes that support consistent delivery.
  • Coordinate the people, tools, and work required for delivery while managing risks, changes, and dependencies.
  • Communicate with clients and internal teams, make practical trade-offs, and keep work moving when plans change.
  • Use project learning to improve future work, strengthen company systems, and identify new opportunities.

Desired Qualifications

  • Experience in an early-stage company.
  • Experience working with research teams, enterprise clients, or other demanding customers.
  • Experience with AI, data operations, evaluation, media, or other technical work.
  • Experience designing quality systems, repeatable processes, or standards for complex work.

About the Company

Mundo AI

Multilingual multimodal training data provider

Mundo AI builds multilingual and multimodal training data and evaluations to help AI labs improve perceptual intelligence. Through end-to-end data operations, it collects and labels audio, text, video, gestures, and real-world interactions in multiple languages using native speakers, delivering proprietary datasets and custom labeling for model training and evaluation. How it works: Mundo runs data collection, annotation, quality control, and evaluation pipelines, creating specialized datasets tailored to clients' needs. Differentiators: it focuses on non-English, multimodal data with fully managed data workflows and native-speaker labeling, backed by a team with experience from AWS, Cohere, Hugging Face, and quant finance, and it has strong funding backing from Y Combinator and venture partners. Goal: to scale high-quality multilingual and multimodal data and evaluation tools so AI models can better understand and interact with the real world across languages and modalities.

Company size
11-50
Company stage
Series A
Total funding
$20.1M
Headquarters
Vancouver, Canada
Founded
2024

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