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 CMake! As an AI Tutor - CMake, you’ll use your build system expertise to improve AI-generated code and ensure it aligns with CMake’s cross-platform build configuration standards and best practices.
Your Day to DayReview CMake scripts for correctness, portability, and clear dependency management.
Solve build configuration challenges using CMake and explain your process.
Identify and correct flaws in AI output or unclear build logic.
Summarize your approach and decision-making clearly and concisely.
Fluent in English with strong writing and communication skills.
Expertise in CMake: target-based builds, cross-compilation, toolchain files, and modular project setup.
3–5 years of experience in CMake or build system engineering is a plus.
Bachelor’s degree (or pursuing one) in Computer Science, Software Engineering, or related field. Master’s or PhD preferred.
Deep interest in AI, developer tooling, or systems infrastructure.
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.
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