Python & Backend Annotation
Experienced backend engineers who review, debug and write Python and server-side code to train and evaluate coding models.
Industry
Python & Backend
Timeline
Pilot batch first
Platform
Python, Go, Java
0%
0%
Experts Assessed
Percent of experts assessed before joining a project.
0
0
Point of Contact
Point of contact for sourcing, quality and delivery.
0x
0x
Review Layers
Layers of review on every batch.
0
0
Task Types
Core task types: code review, bug fixing, prompt writing and rubric grading.
Every expert passes a hands-on technical assessment before they touch your data.
The Ompliify quality standard
How we qualify experts
Coding models improve when the people teaching them can actually read and write production-grade code. Generalist annotators often cannot tell a clever solution from a subtly broken one, and that gap shows up in the model.
We source backend engineers with real experience in Python and server-side languages, then test them on hands-on tasks that resemble your project before anyone is placed. Only people who pass join your team.
Typical work includes reviewing model-written code, finding and fixing bugs, writing test cases, ranking alternative solutions and grading responses against a clear rubric. We agree the task types, languages and quality bar with you up front.
Experts are assessed on real coding tasks, not just résumés.
A second reviewer checks every batch before it reaches you.
We calibrate the team on a pilot batch so judgment is aligned before volume grows.
The team scales up or down as your training needs change.
Quality is managed, not assumed. Reviewers and adjudicators resolve disagreements, and feedback from each batch sharpens the guidelines for the next.
Tell us the languages, task types and volume you have in mind, and we will scope a pilot batch and the team to run it.
More Expertise
