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.
How it fits the AI era
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.
How it builds AI experience
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.
Worth showing
- End to end project ownership
- Python or SQL proficiency
- Managing distributed workforces
- Quality and throughput metrics
- Technical spec translation
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.
About Encord
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.
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Technical Program Manager employer: present of AI
H Company is an exceptional employer for Product Designers, offering a dynamic work environment in London where innovation meets collaboration. With a strong focus on employee growth, the company encourages continuous learning and experimentation, particularly in the evolving field of AI design. The inclusive culture fosters open communication with users and cross-functional teams, ensuring that every designer's voice is heard and valued, making it a truly rewarding place to advance your career.
