Coding Expert - Python
Alignerr · United States
- Hybrid
- Contract
- $100,000 / year
- United States
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Job highlights
- Review AI-generated Python code for quality.
- Write Python solutions for coding challenges.
- Explain complex code logic clearly.
- Identify edge cases in AI responses.
- Flexible remote work with good pay.
About the role
Python Coding Expert (Contract) - Labelbox
Shape the data that powers frontier AI.
Quick facts
- Engagement: Hourly, at‑will contractor
- Schedule: Fully remote & asynchronous (min. 15 hrs/week)
- Pay Range (US): $25 – $100 per hour
- Start Date: Rolling — staffed as projects launch
What you’ll do
- Review and evaluate AI-generated Python code for correctness, efficiency, and clarity.
- Write high-quality Python solutions to coding problems across varying difficulty levels.
- Create clear, human-readable explanations for code logic and problem-solving strategies.
- Identify and flag edge cases or ambiguities in problem statements or AI responses.
You’re a great fit if
- Fluent in English, with strong written communication skills and the ability to clearly explain abstract coding concepts.
- Expertise in Python: Deep familiarity with core Python concepts such as data structures, algorithms, OOP, standard libraries, and best practices.
- 3-5 years of experience with Python frameworks, tools, or domains (e.g., web development, data analysis, scripting, or ML) is a plus.
- Bachelor’s degree (or pursuing one) in Computer Science or a related field. Master’s or PhD preferred, but not required.
- Bonus: Experience with data labeling, RLHF, or other AI training projects
About the role
- Flexible workload — work from anywhere, on your own schedule
- High impact — your craft directly improves models used by top AI labs & Fortune 500 teams
- Clear ownership — know exactly what success looks like and have autonomy to deliver
- Growth potential — consistent high performers spearhead new programs and mentor incoming SMEs
Interview process
- Complete a screening with Zara, our AI interviewer in English, to learn more about your background and experience.
- Domain-specific Zara interview to assess your Python expertise, including advanced language features (such as decorators, generators, and metaclasses), modern frameworks (like Django, Flask, and FastAPI), and your problem-solving skills with complex algorithms and data structures.
About Labelbox
Labelbox builds the data engine that accelerates breakthrough AI. Our platform, expert services, and marketplace let teams iterate on data as nimbly as they iterate on code, enabling safer, smarter models in production. We’re backed by SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins, and trusted by leading research labs and enterprises worldwide.
Ready to Apply?
Click “Apply” above, and take one or more domain specific assessments. We review candidates on a rolling basis and will contact you if your background matches an active project.
Key skills/competency
- Python
- Coding
- AI
- Data Labeling
- Algorithms
- Data Structures
- Software Development
- Problem Solving
- Communication
- Code Review
Skills & topics
- Python
- Coding Expert
- AI
- Remote
- Contractor
- Data Science
- Software Development
- Code Review
- Python Frameworks
- Algorithms
- Data Structures
- Labelbox
- United States
How to get hired
- Tailor your resume: Highlight Python expertise, AI experience, and communication skills.
- Ace the screening: Prepare for AI interviewer Zara and showcase your background.
- Excel in the domain interview: Demonstrate advanced Python knowledge and problem-solving.
- Emphasize AI/ML projects: Showcase experience with data labeling or RLHF if applicable.
- Complete assessments: Successfully pass the domain-specific tests.
Technical preparation
Master core Python: data structures, algorithms, OOP.,Practice advanced Python features: decorators, generators.,Familiarize with Python frameworks: Django, Flask, FastAPI.,Solve complex coding problems and explain logic.
Behavioral questions
How do you explain abstract coding concepts clearly?,Describe a time you identified an edge case.,How do you ensure code clarity and efficiency?,How do you approach problem-solving with ambiguity?
Frequently asked questions
- What is the work arrangement for the Python Coding Expert role at Labelbox?
- The Python Coding Expert role at Labelbox is fully remote and asynchronous, allowing you to work from anywhere within the United States. You are required to commit a minimum of 15 hours per week.
- What is the pay range for a Python Coding Expert at Labelbox?
- The hourly pay range for a Python Coding Expert at Labelbox in the US is between $25 and $100, depending on experience and project requirements.
- What are the key responsibilities of a Python Coding Expert at Labelbox?
- As a Python Coding Expert, you will review and evaluate AI-generated Python code for correctness and efficiency, write Python solutions to coding problems, and create clear explanations for code logic.
- What skills and experience are essential for the Python Coding Expert position?
- Essential qualifications include fluency in English, strong written communication, deep expertise in Python (data structures, algorithms, OOP), and familiarity with best practices. A Bachelor's degree in Computer Science or a related field is preferred.
- What is the interview process for the Python Coding Expert role at Labelbox?
- The interview process begins with a screening interview conducted by an AI interviewer named Zara. This is followed by a domain-specific interview to assess your Python expertise, including advanced features, frameworks, and problem-solving skills.
- Are there opportunities for growth within this Python Coding Expert role at Labelbox?
- Yes, Labelbox offers growth potential for consistent high performers. You may have opportunities to spearhead new programs and mentor incoming Subject Matter Experts (SMEs).
- What is the role of Labelbox in the AI industry?
- Labelbox builds the data engine that accelerates breakthrough AI. Their platform and services enable teams to iterate on data efficiently, leading to safer and smarter AI models.
- How does Labelbox handle candidate reviews for the Python Coding Expert position?
- Labelbox reviews candidates on a rolling basis. If your background matches an active project, they will contact you. It's recommended to apply and complete the domain-specific assessments.