JavaScript Developer | Remote

Crossing Hurdles; France; Remote; EUR 152,000 - 217,000; Full time

Job summary

Talantir is seeking a Software Engineering Evaluator for a remote hourly contract to curate and assess code examples across multiple languages for AI training. You will work with researchers to ensure code quality and relevance for production systems.

Responsibilities include building and correcting high-quality samples in Python, JavaScript, C/C++, Java, Rust, and Go, and providing clear feedback to improve AI-driven coding solutions. Strong communication skills are essential.

Qualifications

• Experience at a top-tier product company.
• Experience building full-stack, production-grade applications.
• Strong understanding of software architecture, system design, debugging, and code quality.
• Ability to evaluate complex codebases and provide clear, structured feedback.
• Excellent written and verbal communication skills.

Responsibilities

• Curate, build, and correct high-quality code examples for AI model training across Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go.
• Evaluate and refine AI-generated code to ensure efficiency, scalability, and reliability.
• Design verification mechanisms and agents to validate software engineering solutions and identify error patterns.
• Assess AI capabilities across the full software engineering lifecycle, including design, development, testing, deployment, and maintenance.
• Collaborate with researchers and cross-functional teams to improve enterprise-grade AI-driven coding solutions.

Skills

Python

JavaScript

ReactJS

C/C++

Java

Rust

Go

Code quality

Feedback clarity

Communication

Job description

Position: Software Engineering Evaluator

Type: Contractor (Hourly contract)

Compensation: $150/hr

Location: Remote

Commitment: 10–40 hours/week

Role Responsibilities

• Curate, build, and correct high-quality code examples for AI model training across Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go.
• Evaluate and refine AI-generated code to ensure efficiency, scalability, and reliability.
• Design verification mechanisms and agents to validate software engineering solutions and identify error patterns.
• Assess AI capabilities across the full software engineering lifecycle, including design, development, testing, deployment, and maintenance.
• Collaborate with researchers and cross-functional teams to improve enterprise-grade AI-driven coding solutions.

Requirements

• Strong experience at a top-tier product company.
• Strong expertise in building full-stack, production-grade applications using modern programming languages and tools.
• Deep understanding of software architecture, system design, debugging, and code quality assessment.
• Ability to evaluate complex codebases and provide clear, structured feedback.
• Excellent written and verbal communication skills.