Design and implement coding benchmarks used to evaluate frontier AI models across real-world programming tasks. Build and maintain scalable data pipelines for AI evaluation workflows, analyze AI-generated code for correctness and edge-case failures, and create structured evaluation scenarios that rigorously test reasoning, debugging, and code quality across large multi-language codebases.
Develop features and tools using O3DE, Python, and C++ to train AI on open-source 3D engine development.
Solve complex coding problems and review AI-generated code across multiple programming languages to improve model accuracy.
Apply frontend engineering expertise with coding agents to build and evaluate UI-focused AI training tasks.
Use backend engineering expertise with coding agents to build, review, and improve server-side AI training tasks.
Apply DevOps, SRE, and cloud engineering expertise with coding agents to build and evaluate infrastructure-focused AI tasks.
Develop and review CUDA and GPU-accelerated code to support AI training data and model performance work.
Apply ML engineering expertise to evaluate and improve AI coding agents on machine learning tasks, model training pipelines, and ML system design.
Apply data engineering expertise to evaluate and improve AI coding agents on data pipeline tasks, ETL workflows, and database engineering challenges.
Apply software engineering and data science expertise to evaluate AI-generated code, analyses, and ML workflows for correctness and best practices.
Lead quality assurance for AI-generated JavaScript code, reviewing correctness, performance, and adherence to modern JS standards.
Lead quality assurance for AI-generated TypeScript code, evaluating type correctness, code structure, and modern TypeScript best practices.
Lead quality assurance for AI-generated Bash scripts, reviewing correctness, efficiency, portability, and shell scripting best practices.
Lead quality assurance for AI-generated PHP code, evaluating correctness, security practices, and adherence to modern PHP standards.
Lead quality assurance for AI-generated R code, reviewing statistical correctness, data manipulation accuracy, and R best practices.
Lead quality assurance for AI-generated Dart code, evaluating correctness, Flutter integration, and Dart programming best practices.
Lead quality assurance for AI-generated Kotlin code, reviewing correctness, idiomatic patterns, and Kotlin-specific best practices.
Lead quality assurance for AI-generated C++ code, evaluating correctness, performance, memory management, and modern C++ standards.
Lead quality assurance for AI-generated C# code, reviewing correctness, design patterns, and adherence to .NET best practices.
Lead quality assurance for AI-generated C code, evaluating correctness, memory safety, performance, and low-level programming accuracy.
Lead quality assurance for AI-generated Go code, reviewing correctness, performance, and idiomatic Go programming patterns.
Lead quality assurance for AI-generated Java code, evaluating correctness, design patterns, and adherence to Java best practices.
Lead quality assurance for AI-generated ML-focused Python code, evaluating model implementations, training pipelines, and data science workflows.
Lead quality assurance for AI-generated HTML and CSS code, reviewing structure, styling accuracy, accessibility, and web standards compliance.
Lead quality assurance for AI-generated Python code, evaluating correctness, efficiency, and adherence to best practices.
Lead quality assurance for AI-generated SQL code, reviewing query accuracy, performance, and correctness across complex database tasks.
Build cross-platform games using Java and libGDX to train AI on game architecture, logic, and development best practices.
Design parametric 3D models and 2D objects using OpenSCAD and AutoCAD to support AI training on CAD programming tasks.
Build and iterate on mobile and desktop games using Cocos2d-x to train AI on cross-platform game development workflows.
Write, review, and debug code across Python, React, and Java to improve AI code generation and comprehension models.
Develop and prototype 3D game features using Panda3D and Python to support AI training on game development pipelines.
Build and iterate on 2D game features to help train AI models on game development workflows and logic.
Review and validate competitive programming solutions in C++ and other languages to train AI on algorithmic problem-solving.
Evaluate AI on cybersecurity tasks including threat modeling, penetration testing concepts, and security architecture.
Evaluate AI-generated code and provide software engineering expertise across programming languages and frameworks.
Evaluate AI on cloud storage architecture, management, and optimization tasks across major cloud providers.
Apply network engineering and programming expertise to evaluate AI on data systems and infrastructure tasks.
India-based MLOps engineers with JAX, PyTorch, and Triton expertise to evaluate AI on ML infrastructure tasks.
India-based performance engineers with C++, Python, or Rust expertise to evaluate AI on system optimization tasks.
UK-based software engineers needed to evaluate and generate AI coding tasks, solutions, and code reviews.
Evaluate AI outputs on performance engineering problems including benchmarking, profiling, and system optimization.
Provide MLOps expertise to evaluate AI on machine learning pipeline design, deployment, and infrastructure management.
Label and annotate cybersecurity data to train AI models on threat detection, vulnerabilities, and security analysis.
Build and operate ML systems using JAX, PyTorch, and Pallas/Triton frameworks.
Optimize performance-critical systems using C++, Python, and Rust.
Conduct cybersecurity research and engineering for AI training and evaluation.
Read and write COBOL code to support legacy systems and AI training datasets.
Provide engineering and platform expertise for AI training datasets.
Recover and maintain dynamic infrastructure across containerized environments.
Solve dynamic infrastructure problems in containerized environments using terminal-native tools.
Build full-stack web applications using React, Node.js, and JavaScript.
Configure and maintain Linux and Windows systems for enterprise infrastructure.
Provide platform and infrastructure runtime operations support using Linux, Docker, and Kubernetes.
Write and optimize SQL queries and database scripts for production systems.
Build .NET applications and services using C# for enterprise clients.
Entry-level software engineering role building applications with React, Node.js, and AWS.
Build user-facing applications using JavaScript and TypeScript.
Develop and maintain backend services for production-scale applications.
Manage infrastructure across AWS, Azure, and Google Cloud Platform environments.
Build games using Java and the libGDX framework as a junior game developer.
Develop games using the Cocos2d-x framework for cross-platform releases.
Provide multi-language coding expertise across Python, JavaScript, and TypeScript.
Lead DevOps initiatives across Kubernetes, AWS, and GCP environments.
Build and maintain infrastructure systems for production-grade applications.
Develop backend services using PHP, Node.js, and MySQL.
Administer and optimize MySQL and PostgreSQL databases for performance and reliability.
Build responsive websites using HTML, CSS, and JavaScript.
Build and maintain Linux-based infrastructure on Digital Ocean and other clouds.
Manage AWS infrastructure including EC2, S3, and IAM for production systems.
Build advanced full-stack applications with React and performance optimization.
Lead Ruby on Rails development with system design, architecture, and database design.
Design and deploy machine learning systems with Python and ETL pipelines.
Build native mobile applications for iOS and Android platforms.
Build production-grade software systems using JavaScript, Java, and Python.
Provide technical support and troubleshooting using scripting, cloud tools, and Jira.
Design cloud-based solution architectures using microservices, AWS, and Docker.
Build software using Python, Rust, and Golang for production-grade systems.
Develop cross-platform games using C++ and Cocos2d-x for multiple platforms.
Build end-to-end web applications using Node.js, TypeScript, and React.
Develop modern frontend applications with JavaScript, TypeScript, and React.
Build scalable backend systems and services for production applications.
Develop software solutions using Python, Rust, and Golang across diverse projects.
Test and ensure quality of game titles across platforms and gameplay scenarios.
Develop game and simulation features using the Open 3D Engine in Python and C++.
Build desktop applications using Electron.js, TypeScript, and Node.js.
Build full-stack applications combining Python backend and modern JavaScript frameworks for AI platforms.
Design and deploy machine learning solutions using Python to solve real-world business problems.
Evaluate AI-generated code and improve performance, reliability, and scalability of LLM outputs.
Develop scalable Python applications for AI model training, evaluation, and deployment.
Evaluate Python codebases and GitHub issues while improving software quality for AI training and validation workflows.
Build enterprise-grade generative AI systems using knowledge graphs, LLMs, and scalable architectures for production environments.
Develop scalable applications using TypeScript and modern frameworks.
Design and optimize databases for high-performance AI systems.
Build AI-driven applications and backend systems using Python.
Develop enterprise-grade applications using Java and scalable architectures.
Build interactive web applications using JavaScript and modern frameworks.
Develop iOS applications using Swift integrated with AI-powered features.
Build high-performance applications using C++ for AI and systems development.
Develop efficient low-level systems using C for performance-critical AI applications.
Build high-performance systems using Rust for scalable AI infrastructure.
Develop backend systems using Ruby for AI-powered applications.
Use R for statistical computing and data analysis in AI workflows.
Develop modern applications using Kotlin while integrating scalable AI features.
Build high-performance backend services using Go for scalable AI and distributed systems.
Develop scalable applications using C# and .NET frameworks while integrating AI-driven solutions.
Automate workflows and manage systems using Bash and PowerShell scripting for scalable AI infrastructure.
Join the future of remote work as a Fullstack Developer (Python/React) with Micro1. Contribute to global projects requiring Python, React, Typescript. Flexible schedule with $50-$70/hr pay.
Validate Docker-based workflows, CI/CD pipelines, and data processing systems.
Develop and maintain software systems while collaborating with distributed teams.
Develop full-stack applications combining Python backends with modern JavaScript frameworks.
Build and evaluate machine learning models using Python and modern ML frameworks.
Develop and maintain advanced Python-based systems for AI and backend applications.
Entry- to mid-level coding-focused role contributing to AI training. Work on coding-related tasks, prompts, and evaluations in a structured environment with clear guidelines.
Freelance Ruby developer role focused on AI-related coding tasks and evaluations. Create and review Ruby code snippets, challenges, and solutions for AI training datasets.
Seeking generalist Python Coding Experts to create, review, and refine high-quality coding problems and solutions, ensuring rigor and accuracy in evaluating AI models.
Seeking generalist JavaScript Coding Experts to create, review, and refine high-quality coding problems and solutions, ensuring rigor and accuracy in evaluating AI models.
Seeking generalist C++ Coding Experts to create, review, and refine high-quality coding problems and solutions, ensuring rigor and accuracy in evaluating AI models.
Seeking generalist Go Coding Experts to create, review, and refine high-quality coding problems and solutions, ensuring rigor and accuracy in evaluating AI models.
Seeking generalist Rust Coding Experts to create, review, and refine high-quality coding problems and solutions, ensuring rigor and accuracy in evaluating AI models.
Seeking generalist Java Coding Experts to create, review, and refine high-quality coding problems and solutions, ensuring rigor and accuracy in evaluating AI models.
Seeking frontend development experts to create, review, and refine high-quality UI coding problems and solutions, ensuring rigor and accuracy in evaluating AI models.
Create backend systems and APIs for AI applications. Develop scalable architectures using Python, Node.js, databases, and cloud infrastructure.
Build machine learning pipelines and evaluate AI model architectures. Develop training workflows using PyTorch, TensorFlow, and scikit-learn frameworks.
Seeking expert SQL developers to create, review, and refine high-quality database query problems and solutions, ensuring rigor and accuracy in evaluating AI models.
Seeking expert DevOps and IaC experts to create, review, and refine high-quality infrastructure and automation challenges, ensuring rigor and accuracy in evaluating AI models.
Work on AI model training by curating code examples across Python, JavaScript, C/C++, Java, Rust, and Go. Evaluate LLM-generated code for accuracy and quality.
Load more · 121 remaining Your software development expertise is critical to training AI systems that write, understand, and reason about code. AI coding projects depend on experienced programmers to evaluate AI-generated code, debug logic, validate algorithms, and review system design decisions. Developers help train large language models to produce clean, secure, and production-ready software.
Coding AI freelance jobs allow software engineers to monetize their programming skills through remote AI training work. Python, JavaScript, Java, C++, and Rust developers are in high demand for LLM code evaluation and AI programming projects. These coding AI projects offer flexible remote work, strong pay rates, and direct involvement in shaping next-generation AI developer tools.
Live coding projects on PARA AI Labs currently pay between $15/hr and $500/hr, with rates listed upfront on every listing. Specialist experience earns the upper end of the range.
Alignerr, Micro1, Mercor, SME Careers, Turing and others currently list coding projects through PARA AI Labs. Each Apply link goes directly to the hiring platform.
Click Apply on any project below — you'll go straight to the source platform's application, with no middlemen and no fees. Most platforms ask for a short skills assessment before matching you to paid work.
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