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Encord is seeking a practitioner who can run complex data projects for AI teams from start to finish, translating research needs into clear annotation workflows and holding outputs to a measurable standard. A strong candidate has years of hands-on delivery and analytical work, can write Python or SQL, and has coached a distributed workforce while keeping multiple projects moving.
This role sits where machine learning requirements meet practical annotation work; the judgment about standards, edge
This role runs complex data projects for AI teams from start to finish, turning what a research team needs into clear annotation workflows and holding the output to a measurable standard. A strong candidate has several years of hands on delivery and analytical work, can write Python or SQL, and has managed and coached a distributed workforce. The person must go deep on the details, make evidence based calls on people and quality, and keep several projects moving at once.
The work sits where machine learning requirements become real annotation work, so AI tools can speed up parts of the process but the judgment about standards, edge cases and quality stays with a person. As models and data types get harder, someone has to decide what good data looks like and defend that call. The role stays human because it depends on translating ambiguity, coaching people and owning the outcome.
Working here means gaining direct exposure to how frontier AI labs and physical AI companies train their systems, including annotation, evaluation and model training workflows. A candidate can build this by learning how data quality affects model results and by getting hands on with annotation or evaluation pipelines. Practising Python or SQL on real data work would strengthen the fit for this company.
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
A data platform that helps AI teams manage, label and clean the video, sensor and image data that trains robots, self-driving cars and other physical AI systems.