Turing
Principal GenAI Engineer (FS/BE)
Lead the design and deployment of enterprise-scale AI solutions with LLMs.
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- Turing
Sr. GenAI Engineer (FS/BE)
Build and deploy scalable LLM solutions for enterprise AI projects.
- Turing
Software Engineer with Python & Docker experience
Build and validate containerised Python workloads for AI training pipelines.
- Turing
Python Developer
Create and solve advanced Python problems for AI research applications.
- Turing
Senior Python Engineer – AI Agents Evaluation
Evaluate AI agent behaviour and build Python tooling for agent benchmarks.
- Turing
Agentic Coding Annotator - Online / Offline Tasks
Annotate agentic coding trajectories for online and offline AI training tasks.
- Turing
Fullstack Developer – AI Applications (GCP)
Build full-stack AI applications on Google Cloud Platform.
- Turing
Principal GenAI Engineer
Lead design and deployment of generative AI systems and LLM applications.
- Turing
Senior Backend Engineer (Python, SQL & AI Integration)
Build billing pipelines and test strategies with Python, SQL and AI integrations.
- Turing
SWE – Python Docker
Analyze GitHub issues and evaluate software quality for LLM training tasks.
- AfterQuery Project-based — see bonus structure
Fenrir Security Researcher
Find real vulnerabilities in private repositories and turn them into difficulty-probed cybersecurity tasks for frontier LLMs.
- AfterQuery $100 - $170/hr
Security Engineer — Cryptanalysis / Reverse Engineering
We're building a research cohort of senior domain experts in security — spanning cryptanalysis and reverse engineering — to help evaluate how frontier AI models reason about hard, real-world expert-level problems.
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.
Expert career tracks for Coding
Each track explains the work, what it pays, and what qualifications it asks for — then lists every project pooled for it.
Frequently asked questions
How much do coding AI training jobs pay?
Live coding projects on PARA AI Labs currently pay between $20/hr and $120/hr, with rates listed upfront on every listing. Specialist experience earns the upper end of the range.
Which platforms are hiring for coding AI projects?
Handshake AI, Turing, AfterQuery, Meridial Expert, Prolific and others currently list coding projects through PARA AI Labs. Each Apply link goes directly to the hiring platform.
How do I apply for coding AI jobs?
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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