Start Date: Immediately

Duration: 1–3 months (potential to extend)

Location: Remote

About Syntropi

We collect and curate high-quality video datasets for training AI models. Our pipelines process thousands of videos daily, managing everything from sourcing and annotation to quality control and delivery.

About the Role

We need an Analytics Engineer to help us monitor, visualize, and optimize our video ML pipelines. You'll build internal dashboards that surface key metrics, automate data quality checks, and create tools that help our team understand model performance and contributor output.

This is a high-impact contract role for someone who loves turning messy data into clean insights and building tools that teams actually use.

What You'll Build

Internal dashboards to monitor pipeline health, model metrics, and data quality in real-time
Data visualization tools for exploring video dataset patterns and performance trends
Automated reporting and alerting for pipeline anomalies and contributor performance
Quality assurance workflows for human-in-the-loop annotation and feedback
Scripts and utilities to streamline data analysis and reduce manual work

Requirements

Strong Python skills and experience with SQL
Data visualization experience
Practical understanding of ML metrics
Independent, pragmatic, and comfortable moving fast in an early-stage environment

Nice to Have

Experience with Airflow
Familiarity with GCP (BigQuery, Cloud Storage, Vertex AI)
Prior work with video/image datasets or annotation platforms
Exposure to LLMs and prompt engineering
Track record of building internal dev tools or data platforms

To Apply

Email lucy@syntropi.ai with:

A brief intro (what excites you about this role)
Links to relevant work (dashboards, internal tools, data projects) if available
Your availability and contract rate

We review applications on a rolling basis and move quickly.

Syntropi

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