4 days ago

Software Engineer (AI Training)

Alignerr

Eindhoven

4 days ago

Apply

Alignerr is seeking Software Engineers in Eindhoven to build, evaluate, and improve AI-generated code, helping train AI systems to think like real developers. This fully remote, flexible hourly contract role involves writing, reviewing, and providing expert feedback on code across multiple languages and frameworks. Candidates should be proficient in one or more programming languages, have a solid understanding of data structures and algorithms, and be strong written communicators.

Core AIRemoteContractEntry LevelPythonJavaScript

Software Engineer (AI Training)

Apply

Core AIRemoteContractEntry LevelPython

Salary

Not specified

Work Location

Eindhoven, North Brabant, Netherlands, NL

Work Model

Fully remote, flexible contract role

Employment Type

Hourly Contract

Experience Level

Not Applicable

Core Qualifications

Technical (Must-have)

PythonJavaScriptJavaC++GoTypeScriptData StructuresAlgorithmsSoftware Design Principles

Soft Skills

Problem-solvingWritten communicationSelf-motivatedReliableIndependent

Preferred Qualifications

Technical (Nice-to-have)

AI/ML conceptsLLMsPrompt EngineeringCloud PlatformsDevOpsDistributed SystemsCode ReviewTechnical WritingMentoring

Key Responsibilities

•Write, debug, and optimize code across a range of languages, frameworks, and problem domains
•Review and evaluate AI-generated code for correctness, efficiency, readability, and best practices
•Identify bugs, logic errors, security issues, and performance bottlenecks in AI outputs
•Provide structured, detailed feedback explaining why code works — or doesn't
•Design challenging coding prompts and edge-case scenarios to stress-test AI capabilities
•Compare and rank multiple AI-generated solutions based on engineering quality
•Work independently and asynchronously — fully on your own schedule

Software EngineerAI TrainingRemoteContractPythonJavaScriptJavaC++GoTypeScript

Key Responsibilities

•Write, debug, and optimize code across a range of languages, frameworks, and problem domains

•Review and evaluate AI-generated code for correctness, efficiency, readability, and best practices

•Identify bugs, logic errors, security issues, and performance bottlenecks in AI outputs

•Provide structured, detailed feedback explaining why code works — or doesn't

•Design challenging coding prompts and edge-case scenarios to stress-test AI capabilities

•Compare and rank multiple AI-generated solutions based on engineering quality

•Work independently and asynchronously — fully on your own schedule