Data Operations

About the Opportunity

This organization is an AI research and product company transforming how people interact with technology. Launched with the first human-like AI voice model, it now serves millions of users and thousands of businesses, from fast-growing startups to large enterprises. Supported by prominent investors, the organization has secured significant funding and achieved a substantial valuation.

The organization has expanded from voice into three main platforms:

• A platform enabling businesses to deliver seamless and intelligent customer experiences with robust integrations, testing, monitoring, and reliability for deploying voice and chat agents at scale.
• A platform empowering creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
• A platform giving developers access to leading AI audio foundational models.

Everything done is the result of the creativity and commitment of the team – builders doing impactful work. The team consists of researchers, engineers, and operators. If you want to work hard and create lasting positive impact, this organization wants to hear from you.

How the Organization Works

• High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
• Impact not job titles: There are no job titles. Instead, it’s about the impact you have. No task is above or beneath you.
• AI first: AI is used to move faster with higher-quality results across the whole company—from engineering to growth to operations.
• Excellence everywhere: Everything done should match the quality of the AI models.
• Global team: Talent is prioritized, not location.

What the Organization Offers

• Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
• Growth paths: Joining this organization means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
• Learning & development: This organization proactively supports professional development through an annual discretionary stipend.
• Social travel: An annual discretionary stipend is provided to meet up with colleagues each year, however you choose.
• Annual company offsite: Each year, the entire team is brought together in a new location.
• Co-working: If you’re not located near one of the main hubs, a monthly co-working stipend is offered.

About the Data Operations Role

The Data Ops team partners with Research to answer two core questions: What data is needed to train outstanding AI audio models — and how can it be sourced and scaled effectively?

In this role, you will own the end-to-end lifecycle of data acquisition and labeling operations.

You’ll translate research needs into clear data specifications and labeling workflows, manage external data vendors, and ensure datasets are delivered on time and to high quality standards. You’ll oversee both in-house and third-party labeling teams — setting guidelines, prioritizing work, implementing QC processes, and monitoring throughput and performance.

You’ll also help scale operations by improving tooling and processes, and by supporting the hiring, training, and development of a high-performing labeling workforce.

Requirements

Exceptional individuals are sought who combine technical excellence with ethical awareness, who are excited by hard problems and motivated by human impact. You’ll strive with this organization if you:

• Are passionate about audio AI driven by a desire to make content universally accessible and breaking the frontiers of new tech.
• Are a highly motivated and driven individual with a strong work ethic. The team is aware of this critical moment of audio AI evolution and is committed to going the extra mile to lead.
• Are analytical, efficient, and strive on solving complex challenges with a first principles mindset.
• Consistently strive for excellence, delivering high-quality work quickly and exceeding expectations.
• Take initiative and work autonomously from day one, prioritizing learning and contribution while leaving ego aside.

No formal experience, certifications, or degrees are required. Instead, the organization is looking for someone with:

• Strong attention to detail – data is all about the details; you are expected to craft clear project guidelines together with Research and build processes to ensure data meets them.
• People skills – you will interact with Researchers, external service providers, and a large number of data labellers and labelling managers; you should feel comfortable providing feedback and keeping large teams moving along to meet deadlines.

This role is remote and can be executed globally. If preferred, you can work from offices in New York, London and Warsaw.

Key skills/competency

• Data Acquisition
• Data Labeling
• Data Quality Assurance
• Vendor Management
• Process Optimization
• AI Audio Models
• Project Management
• Analytical Thinking
• Operational Excellence
• Team Collaboration