We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society.
Our diverse workforce thrives in competitive environments and is committed to driving innovation.
Our teams are distributed between Europe, North America, Asia and the Middle East.
We are creative, low-ego and team-spirited.
Role SummaryWe’re seeking highly motivated Data Quality Analysts with strong analytical.
This is a hybrid quality reviewing and tooling role:you'll spend the majority of your time reviewing and auditing Finance (any subdomain) annotations against rubrics to ensure data used for training and evaluating AI models meets the highest standards of quality and efficiency.
and the remainder building, maintaining, and troubleshooting annotation operations.
You'll collaborate closely with the annotators, technical program manager, and science stakeholders, and contribute to refining the guidelines and processes that shape how our data is produced.
Key ResponsibilitiesIn collaboration with the technical team, review/audit annotations, clarify.