Alignerr.com is a community of subject matter experts from several disciplines who align AI models by creating high-quality data in their field of expertise to build the future of Generative AI. Alignerr is operated by Labelbox. Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the right degree of human supervision and automation. Whether they are building AI products by using LLMs that require human fine-tuning, or applying AI to reduce the time associated with manually-intensive tasks like data labeling or finding business insights, Labelbox enables teams to do so effectively and quickly.
Current Labelbox customers are transforming industries within insurance, retail, manufacturing/robotics, healthcare, and beyond. Our platform is used by Fortune 500 enterprises including Walmart, Procter & Gamble, Genentech, and Adobe, as well as hundreds of leading AI teams. We are backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), Databricks Ventures, Snowpoint Ventures and Kleiner Perkins.
Shape the future of AI — with Python! As an AI Tutor - Python, you’ll play a vital role in training and evaluating AI models to ensure they generate accurate, relevant, and high-quality information. You’ll use your Python expertise to assess code, solve real-world programming challenges, and help AI systems become better problem-solvers. This is a unique opportunity to grow professionally in the AI space while deepening your mastery of Python.
Your Day to DayReview 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.
- 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.
- Curious and passionate about AI, machine learning, and the future of intelligent systems.
Alignerr strives to ensure pay parity across the organization and discuss compensation transparently. The expected hourly rate range for United States-based candidates is below. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.
This is a freelance position compensated on an hourly basis. Please note that this is not an internship opportunity. Candidates must be authorized to work in their country of residence, and we do not offer sponsorship for this 1099 contract role. International students on a valid visa may be eligible to apply; however, specific circumstances should be discussed with a tax or immigration advisor. We are unable to provide employment documentation at this time. Compensation rates may vary for non-US locations.
Top Skills
Similar Jobs
What you need to know about the Chicago Tech Scene
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
