Python Engineer
SME Careers · United States
- Hybrid
- Contract
- United States
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Job highlights
- Review AI-generated Python solutions and explanations.
- Generate high-quality reference content.
- Improve AI models accuracy and relevance.
- Work remotely on an hourly contract basis.
- Contribute to cutting-edge AI development.
About the role
Senior Python Engineer - Remote
As a Senior Python Engineer, you will work remotely on an hourly paid basis to review AI-generated Python solutions and technical explanations, as well as generate high-quality reference content that demonstrates strong software engineering practices. You will assess solutions for correctness, code quality, performance, and adherence to the prompt; identify errors in logic, architecture, or methodology; fact-check technical information; craft clear, step-by-step explanations and exemplary solutions; and rate and compare multiple AI responses based on their reasoning quality and implementation soundness. This is a fully remote, hourly paid contractor role with SME Careers, a fast-growing AI data services company and subsidiary of SuperAnnotate that provides AI training data to many of the world’s largest AI companies and foundation model labs, where your Python expertise will directly help improve the world’s premier AI models.
Important:
There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.
Key Responsibilities
- Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
- Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
- Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.
Your Profile
- Bachelor’s degree or higher in Computer Science, Software Engineering, Mathematics, or a closely related technical field.
- 7+ years of professional software engineering experience, with significant hands-on work in Python on production systems.
- Deep knowledge of Python language features, the standard library, and common ecosystems such as web frameworks, data tooling, or backend services.
- Strong understanding of algorithms, data structures, system design, and performance optimization in Python applications.
- Proven experience designing, reviewing, and improving high-quality Python codebases, including code review and mentoring responsibilities.
- Minimum C1 English proficiency (written and spoken), with the ability to write clear technical explanations and follow detailed English-language guidelines.
- Comfort working with modern tooling such as version control systems, CI/CD pipelines, testing frameworks, and containerization technologies.
- Previous experience with AI data training, annotation, or evaluating AI-generated technical content is a strong plus.
- Highly detail-oriented, with a structured and methodical approach to evaluating reasoning quality and identifying subtle errors in technical solutions.
Key skills/competency
- Python
- Software Engineering
- AI Training Data
- Code Review
- System Design
- Algorithms
- Data Structures
- Performance Optimization
- Technical Writing
- AI Model Evaluation
Skills & topics
- Python Engineer
- Senior Python Developer
- AI
- Machine Learning
- Software Engineering
- Remote
- Contractor
- Python
- Code Review
- Technical Writing
How to get hired
- Tailor your resume: Highlight your 7+ years of Python experience, production systems work, and AI content evaluation skills.
- Showcase Python expertise: Emphasize your deep knowledge of Python features, libraries, frameworks, and system design.
- Demonstrate attention to detail: Detail your experience with code review, mentoring, and methodical evaluation of technical content.
- Mention relevant tools: List your proficiency with version control, CI/CD, testing frameworks, and containerization.
- Highlight AI experience: If you have prior AI data training or evaluation experience, make it prominent.
Technical preparation
Master Python 3 features and standard library.,Practice reviewing code for quality and correctness.,Study algorithms, data structures, and system design.,Familiarize with CI/CD, Git, and testing frameworks.
Behavioral questions
Describe a complex Python problem you solved.,How do you ensure code quality and correctness?,Explain a time you identified subtle technical errors.,How do you approach factual checking of technical info?
Frequently asked questions
- How does SME Careers utilize Senior Python Engineers for AI training?
- SME Careers engages Senior Python Engineers to review and generate AI-generated Python solutions and technical explanations. Your role would involve ensuring code quality, correctness, performance, and factual accuracy of AI outputs to improve AI models.
- What is the work arrangement for a Senior Python Engineer at SME Careers?
- This is a fully remote, hourly paid contractor role. You will work from anywhere, providing flexibility while contributing to AI development.
- What specific Python skills are most valued for this role?
- SME Careers highly values deep knowledge of Python language features, the standard library, common ecosystems (web frameworks, data tooling, backend services), algorithms, data structures, system design, and performance optimization.
- Does SME Careers have immediate projects for Senior Python Engineers?
- There is no immediate project for this role. However, qualified candidates will be contacted first when relevant opportunities arise, providing access to future projects.
- What is the required educational background for a Senior Python Engineer?
- A Bachelor’s degree or higher in Computer Science, Software Engineering, Mathematics, or a closely related technical field is required. Significant professional experience is also a key requirement.
- How important is English proficiency for this Senior Python Engineer role?
- Minimum C1 English proficiency (written and spoken) is essential. This ensures you can write clear technical explanations, follow detailed guidelines, and communicate effectively.
- What kind of experience is considered a strong plus for this role?
- Previous experience with AI data training, annotation, or evaluating AI-generated technical content is considered a strong plus. This experience directly aligns with the core responsibilities of the role.
- What does 'improving the world's premier AI models' mean in this context?
- It means your work directly contributes to refining and enhancing the capabilities of advanced AI models used by major tech companies and foundation model labs, making them more accurate, reliable, and performant.