Profile cover
A

AI Content Tagging Engineer

Adam Li

Full-time · Job · London

About the role

The tagging models you'll help build are used to organize millions of documents across our taxonomy and entity-linking products every day. Hugging Face and LangChain are the core of what we build, and in this junior role you'll help fine-tune and evaluate tagging models under the guidance of senior NLP architects. You'll join a cross-functional squad with defined sprints, clear ownership, and weekly syncs with leadership, contributing directly to a pipeline that's already in production at scale.

Responsibilities

  • Fine-tune and evaluate document tagging models using Hugging Face
  • Build lightweight orchestration flows with LangChain for tagging pipelines
  • Report model performance metrics in weekly team syncs

Requirements

  • Working knowledge of Hugging Face libraries and Python
  • Basic familiarity with LangChain or similar orchestration tools
  • Eagerness to learn from senior NLP engineers on the team

Benefits

  • Fully remote position
  • Structured mentorship from senior architects
  • Health coverage and annual learning budget

Keep exploring related roles

Use these topic pages to discover more roles in the same hiring cluster.

Job Type

Full-time

Level

Junior

Language

English

Salary Range

$60k – $80k / year

AI Expertise

NLP & Prompt Engineering

Skills

python hugging face langchain

Ready to apply for this role?

Create a free talent account in under 2 minutes.

  • Apply to verified AI companies
  • Get AI-matched job recommendations
  • Message hiring managers directly
  • Build your public AI talent profile

Interested in this role? Create your free profile to apply.

Apply — create free profile