Data Science Operations Specialist
4 days ago
We are seeking a highly motivated and driven individual to join our Data Ops Team as a Data Science Operations Specialist.
The ideal candidate will have strong attention to detail, excellent communication skills, and the ability to work autonomously with minimal supervision.
Key Responsibilities:
- Work closely with Research to develop clear project guidelines and dataset structures for new data labelling projects
- Coordinate internal and external data labelling resources to deliver projects on time
- Implement QC and review processes to ensure high-quality datasets
- Scale in-house data labelling workforce and operations using analytics tooling and problem-solving skills
- Python programming skills
- Strong analytical and problem-solving skills
- Excellent communication and interpersonal skills
- Able to work autonomously with minimal supervision
We are a global team of passionate and innovative individuals united by curiosity and a shared goal: to be the first choice for AI audio solutions. We innovate quickly and take pride in getting things right, from the big picture initiatives to the details that keep us moving smoothly every day.
We work with high autonomy and accountability where the best idea wins at any time and from anyone. Our Data Ops Team works closely with Research to answer two basic questions:
- What data do we need to train outstanding AI audio models?
- How can we get it?
- High-velocity innovation: Rapid experimentation, lean autonomous teams, and minimal bureaucracy
- A truly global team: Collaboration with teammates across 30+ countries, a global customer footprint, and office hubs in New York, London, and Warsaw
- Remote first: We prioritize your talent, not your location, with structured asynchronous workflows for maximum impact and minimal meetings
- Continuous growth: Collaborate with AI leaders, shape your path, and contribute where you excel most
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