Data Scientist Role
Plexus is partnered with a well-funded stealth AI startup building an internal platform that enables AI systems to delegate real-world tasks to humans — with a focus on specialised, high-value, and physically grounded data capture. The team is growing and looking for a Data Scientist to strengthen their data pipelines and overall data quality strategy.
Position Overview
We are hiring a Data Scientist with strong experience in dataset preparation, labeling, and structuring workflows. This is a fully remote role within a 10-person engineering-led team, open globally, with a preference for 3–4 hours of overlap with US Pacific Time.
Key Responsibilities
- Prepare, clean, label, and structure high-quality datasets
- Design clear, reliable data pipelines and delivery formats for ML teams
- Ensure data consistency, metadata clarity, and scalable data throughput
- Work cross-functionally with engineering in a fast-paced startup environment
- Bonus: experience with audio or other unstructured data modalities
Qualifications
- Strong experience in data preparation, labeling, and dataset structuring
- Ability to design and manage practical, ML-ready data pipelines
- Hands-on, innovative mindset — ideal for startup environments
- Open to junior–mid candidates; senior considered if deeply experienced
- Experience with audio/unstructured data is a plus
Benefits
- Competitive salary + tokens + benefits
- Fully remote, global team
- High ownership with close collaboration and regular standups
- Direct 1:1 interaction with leadership
- Join a fast-moving startup tackling one of AI’s biggest bottlenecks: high-quality data
**If you’re interested, please hit Apply!
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