Profile cover
R

AI Training Data Pipeline Engineer

Jaltrix Data

Remote · $60k – $80k / year · Full-time · Posted 5 months ago

No longer accepting applications

This role is no longer accepting applications

Don't miss the next role like this

Create a free profile with your skills. We match you to new AI roles as they open, and companies hiring can contact you directly.

Create free profile, 2 minutes

Similar open roles you can apply to now:

See all open AI jobs

About the role

Models are only as good as their training data, and our training data comes from 200 annotators working across three time zones producing 15,000 labeled examples per day. Getting those labels from the annotation platform into training-ready datasets — cleaned, validated, versioned, and properly split — is a pipeline problem that nobody has owned until now. You'll build and maintain the data pipelines that connect our annotation tools to our training infrastructure. That means ingesting label exports, running quality checks, detecting annotator disagreement, computing inter-annotator agreement metrics, and publishing versioned datasets that ML engineers can pull with a single command. When labels are bad, your pipeline should catch it before a model trains on garbage. The data ops team is three people — you'll be the first dedicated pipeline engineer. Currently, ML engineers cobble together their own scripts for data prep; your job is to replace that with reliable, automated infrastructure. Expect to learn a lot about data quality, annotation management, and the messy realities of supervised learning.

Fully remote.

Responsibilities

  • Build automated pipelines for ingesting and processing annotation data
  • Implement quality checks for label consistency and annotator agreement
  • Create versioned dataset publishing for ML training workflows
  • Detect and flag annotation quality issues before training begins
  • Build dashboards for annotation throughput and quality metrics
  • Maintain documentation for data pipeline architecture and usage

Requirements

  • 1+ year of Python development with SQL experience
  • Familiarity with data pipeline tools like Airflow or Prefect
  • Basic understanding of ML training workflows
  • Experience with cloud services — AWS preferred
  • Detail-oriented approach to data quality and validation

Benefits

  • Fully remote across UK/EU time zones
  • 25 days PTO
  • Private health insurance
  • £1,500 annual learning budget
  • Regular salary reviews with transparent progression framework

Keep exploring related roles

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

Categories

MLOps & AI Infrastructure Automation & AI Workflows

Skills

python sql airflow docker aws

Related remote AI jobs

Nearby roles that share similar skills, categories, or hiring intent.

Browse all jobs

AI Security Engineer Intern (Summer 2027)

Brainco

Full-time Intern

Senior Data Engineer, Data Analytics

Agility Robotics

Full-time Senior

Sr. Solutions Architect - Travel and Hospitality

Databricks

Full-time Senior

Solutions Engineer, Canada

Glean

Full-time

Materials Lead

Lambda

Full-time Lead

Revenue Operations Manager

Handshake

Full-time

Job Type

Full-time

Level

Junior

Language

English

Salary Range

$60k – $80k / year

AI Expertise

MLOps & AI Infrastructure Automation & AI Workflows

Skills

python sql airflow docker aws pandas

Ready to apply for this role?

Create a free talent account.

  • Find AI roles in one place
  • Get AI-matched job recommendations
  • Reply to companies that message you
  • Build your public AI talent profile
Create free account & apply Log in

This role is closed. Create your free profile to apply to similar open roles.

Don't miss the next one: get matched to new roles like this.

Create free profile