Remote ML Ops Data Engineer for Multimodal Platform

Jack & Jill; United States; On-site; USD 120,000 - 170,000; Full time

Job summary

Jack & Jill is hiring its first dedicated data engineer to architect end-to-end data strategy for a pioneering multimodal AI platform. You will design pipelines handling video, audio, and text to power real-time model training at scale.

As a foundational contributor, you will establish data governance, labeling workflows, and a production-ready data foundation, collaborating directly with founders on problems with no playbook.

Qualifications

• Proficient in Python and SQL within production data pipelines.
• Experience with LLMs and multimodal data (video/audio/text).
• Startup mindset with ownership and ability to define standards in new spaces.

Responsibilities

• Source, curate, and structure large-scale multimodal datasets for model training.
• Architect and optimize high-performance data pipelines and labeling workflows.
• Define engineering best practices and build the data foundation for next-gen conversational AI.

Skills

Python

SQL

Data pipelines

LLMs

Multimodal data

Ownership

Job description

Jack & Jill is hiring its first dedicated data engineer to architect end-to-end data strategy for a pioneering multimodal AI platform. You will design pipelines handling video, audio, and text to power real-time model training at scale.

As a foundational contributor, you will establish data governance, labeling workflows, and a production-ready data foundation, collaborating directly with founders on problems with no playbook.