Senior Software Engineer (Remote)

Austria, Belgium, Canada, France, Germany, United States, Western Sahara, Morocco
Remote
Posted Nov 10, 2026
1 position

Opens LinkedIn

Employment type: Part-time
Experience level: Senior
Posting language: English

Job summary

Curate, build, and correct code examples across several programming languages to support AI model training, and evaluate AI-generated code for efficiency, scalability, and reliability. Develop agents and automated verification mechanisms to assess code quality and software engineering capabilities, while collaborating with cross-functional teams on AI-driven coding solutions.

Job details

Role Title: Senior Software Engineer (Remote) Role Type: Part-time Location: candidates must be based out of US, Canada or WEU countries (Austria, Belgium, France, Germany, ...) Project Overview As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go; evaluating and refining AI-generated code for efficiency, scalability, and reliability; and working with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? 1. Working on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go. 2. Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. 3. Collaborate withcross-functionalteamsto enhance AI-driven coding solutions against industry performance benchmarks. 4. Build agents that can verify the quality of the code and identify error patterns. 5. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them 6. Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills 1. Several years of software engineering experience (3 years or more) 2. Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools. 3. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. 4. Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details 1. Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week 2. Type: Contractor (no medical/paid leave) 3. Duration: 1 month (potential extensions based on performance and fit) 4. Location: candidates must be based out of US, Canada or WEU countries (Austria, Belgium, France, Germany, ...) Evaluation Process 1. The application process takes 15-30 minutes. 2. Completion of an AI video interview is required. What You’ll Do 1. Working on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go. 2. Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable. 3. Collaborate withcross-functionalteamsto enhance AI-driven coding solutions against industry performance benchmarks. 4. Build agents that can verify the quality of the code and identify error patterns. 5. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them 6. Design verification mechanisms that can automatically verify a solution to a software engineering task. Apply Now!

What you’ll do

Requirements

Requires at least three years of software engineering experience, strong full-stack development skills, and experience deploying scalable, production-grade software. Candidates should understand software architecture, design, development, debugging, and code quality assessment, and communicate evaluation rationales clearly.