AI labs pay software engineers to produce the material their coding models learn from. Software engineering AI training jobs are contract work: you write reference solutions, review model-generated code against a rubric, build environments an agent has to solve, and rank competing outputs. Almost all of it is remote, and most of it pays by the hour.
This page collects every live software engineering listing from Mercor, Outlier, DataAnnotation, Alignerr, micro1 and Terac into one feed, refreshed daily. Rates are shown as each marketplace publishes them.
150 open software engineering listings live right now.
Filtering by rate hides per-task listings, which have no hourly equivalent.
About the work We're building a high-quality dataset of human preference judgments on AI-generated frontend code. Each task hands you a reference web page — crawled from the real i…
Role Overview We are seeking expert computer scientists to author and review high-quality academic assessment content for an AI research initiative. You will write and verify rigor…
We are looking for engineers who build and operate LLM agents in production, and who have real visibility into how agents are actually used inside a company. You have probably: Shi…
Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models. 1. Ov…
Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models. 1. Ov…
Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models. 1. Ov…
We're looking for engineers who have shipped production search systems (especially agentic ones now that we're in the era of LLMs and agents) and are thinking hard about the requir…
The work splits into three tiers. At the base: grading model answers to coding prompts and fixing what the model got wrong. In the middle: writing hard problems with test suites, and reviewing pull requests the model produced. At the top: building reinforcement-learning environments, realistic codebases with tasks an agent has to complete, which is the closest this market gets to normal senior engineering work.
Seniority is the pricing axis. The marketplaces bid hardest for engineers who can judge production code, not just write it. A staff-level engineer reviewing agent trajectories earns a multiple of what a bootcamp graduate earns rating snippets, and the listings say so in the rate.
Six marketplaces publish this work openly. Every listing above links to the one that posted it, and each has its own page here covering pay, screening and who gets hired.
Every marketplace above screens with an interview or assessment in your own domain before assigning paid work. Run that interview with Skillora first and get feedback on how you explained your reasoning, not just on what you said.
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