
Research Engineer in Data
Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("All roles in Remote - Europe"), this listing's salary midpoint is about 95% lower. The offer sits below the benchmark range (€3,060–€14,526). The listed pay band (€347–€573) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 33 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| All roles in Remote - Europe | €3,060/per month | €5,524/per month | €14,526/per month |
The Data team manages the complete lifecycle of data for researchers - from sourcing and large-scale processing to delivering datasets that power our models. Data sits at the heart of our Research efforts and enables all other teams. As part of the Data team, you’ll work with over a million hours of video and audio data. This role exists at the intersection of applied research, data engineering, and ML infrastructure rather than being a traditional research position. You’ll build the world’s best human-centric data lake by collaborating closely with our model training teams. By understanding their requirements, you’ll extract new features and annotations that elevate our datasets. You should be passionate about enhancing model performance through high-quality, accurate datasets. Our infrastructure and pipelines are in great shape, and this role provides room to not only enhance them but also influence the team’s longer-term strategy.
Job Details
Responsibilities
- Manage the data lifecycle for researchers from sourcing to delivering datasets for model training
Requirements
- A strong background in data-centric, applied Machine Learning, with hands-on experience improving model performance through data quality, curation, labeling, and evaluation rather than model architecture alone
- Experience working on the data layer of Generative AI products, particularly involving images, video, or audio
- Excellent Python skills, with a strong focus on writing clean, maintainable, and well-tested code
- Nice to have if you have experience designing, building, and operating workflow orchestration systems and large-scale data processing pipelines
Skills & Technologies
Benefits & Perks
Benefits

| Location | Active listings |
|---|---|
| London, United Kingdom | 15 |
| Remote - Europe | 14 |
| Remote - Global | 1 |
| Austin, United States | 1 |
| Role type | Active listings |
|---|---|
| Product Designer | 3 |
| Strategic Customer Success Manager | 2 |
| Frontend Engineer | 1 |
| Research Engineer in Data | 1 |
| Staff Research Engineer | 1 |
| Product Manager | 1 |
| Solutions Architect | 1 |
| Application Security Engineer | 1 |
| Engineering Manager | 1 |
| Solutions Consultant | 1 |
| Applied Research Engineer | 1 |
| Senior Brand Designer | 1 |
| Role level | Active listings |
|---|---|
| Senior | 10 |
| Manager | 2 |
| Mid-Level | 2 |
| Expert | 1 |
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