Data Quality Engineer - Seoul South Korea - Twelve Labs와 관련된 현재 작업


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Data Quality Engineer

2 개월전에


Seoul South Korea Twelve Labs 풀타임

You will:
Oversee, plan, and take care of data collection and labeling projects.

Keep an eye out for automation opportunities to make things easier over timeBuild and keep up solid relationships with our outside vendors and contractors:
ensure our collaboration is smooth and valuableCreate labeling instructions and evaluate data quality. Make sure we've got a good mix of quality, diversity, and quantity of data. Brainstorm ways to make our tools or instructions more user-friendly.
Keep tabs on ongoing projects to make sure we're putting our resources in the right places. Be ready to tweak project scope and instructions when new information comes in.
Share updates on projects, including by building diagnostics/dashboards and data analysis tools/reports.

Work hand in hand with the rest of the Engineering org to make our interfaces (both code interfaces and human interfaces) even better.


You should have:

Strong professional english speaking and writing skills3+ years of software development or analytics-heavy operations experience2+ years of experience with Python or other popular industry tools for automationEnjoy paying attention to details and analyzing information and dataHave excellent project management skills, and can work with internal and external teamsUnderstand the workings of LLMs or VLMs and prompt engineeringHave experience in gathering, labeling, and analyzing dataAgree that data is the key ingredient for the performance of AI models You may be a good fit if you have: Have worked with data collection and labeling for multimodal language modelsHave managed a team of external contractors or vendors.

Have launched new technical programs.
Have worked with research scientists and engineers.

Relevant Tech Stack Python (pandas, Jupyter, etc.), and SQLVisualization tools (any popular frameworks)Project management tools such as Jira, Confluence, etc.