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Publié il y a 127 jours

Backend Developer - AI Trainer (France)

Entreprise
Localisation
France
Sur site
Type de contrat
CDI
Niveau
Confirmé

Salaire du marché

Médiane du marché
48k€
Estimation
43k€fourchette habituelle53k€

Cette offre n'affiche pas de salaire. D'après 54 offres pour ce poste (Confirmé, France), le marché se situe autour de 48k€ (43k€–53k€).

Salaire du marché pour AI/ML Engineer (Confirmé) en France : médiane 47 500 €/an, P25–P75 : 42 500–52 500 €/an, n = 54 offres. Salaire Python

Baromètre TJM et salaires IT

Description du poste

Anyone AI is recruiting skilled Backend Developers to work as a project consultants.

Qualifications:
  • Advanced professional written proficiency in English
  • 3-7 years of professional software engineering experience
  • Strong proficiency in Python and JavaScript/TypeScript; working knowledge of Java, C#, or Go
  • Backend or full-stack development experience in production systems
  • Experience with testing frameworks (e.g., pytest, Jest, JUnit, xUnit, Go testing)
  • Proven ability to debug and navigate large, multi-file codebases
  • Experience with code reviews, refactoring, and production migrations

Engagement: Part-time, project-based expert evaluation work

Work Type: Remote

Contributors will design and evaluate realistic software engineering tasks, including bug resolution, feature implementation, refactoring/migration, and test generation. Work includes both creating complex coding scenarios and reviewing peer submissions for quality and accuracy.

This is a project-based consultant role. Consultants will be paid on a per-project basis; hourly rates are estimates based on anticipated completion time. Consultants control their own schedule, provide their own tools, and may simultaneously provide services to other vendors/employers (subject to those vendors' allowances).

Responsibilities:

Contributors will:
  • Design and implement multi-file coding tasks across bug fixing, feature development, refactoring, and testing
  • Write clear natural-language specifications and reference implementations
  • Develop and extend unit and integration test suites
  • Review peer-generated tasks for correctness, clarity, and realism
  • Identify edge cases, ambiguities, and potential failure modes
  • Ensure alignment between specifications, code, and expected outputs

Expected Outcomes:
  • High-quality, production-realistic coding tasks
  • Complete and correct reference implementations
  • Robust test coverage and validation artifacts
  • Structured, actionable peer review feedback

Exigences du poste

Compétences requises

  • Python
  • JavaScript
  • TypeScript
  • Java
  • C#
  • Go
  • Pytest
  • Jest
  • JUnit
  • xUnit

Un plus

  • Anglais
  • C
  • Clean Code

Plan d'action

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