Credentialed expert contributor work — doctors, lawyers, engineers, PhDs. Public job board at work.mercor.com/explore. Among the highest pay tiers in the ecosystem.
The AI training-data market has fragmented across dozens of platforms — Mercor, Outlier, DataAnnotation, Surge AI, Invisible, Prolific, Scale AI, and a long tail of smaller players. Each has its own application flow, listing format, pay structure, and geographic eligibility rules.
Today, contractors piece together their pipeline by checking multiple sites manually, scrolling Reddit threads, and trading tips in Discord servers. There is no single, trustworthy place to see what is newly available across the ecosystem.
AITasks.live fixes that. Hand-picked, structured, refreshed daily — with pay rate, geographic eligibility, and role type surfaced consistently on every listing.
You have a marketable skill: coding, writing, a STEM background, a language, or a professional credential. You treat AI training work as primary or meaningful side income. You already check three to ten platforms regularly. You care about pay transparency and geographic eligibility — especially if you are outside the United States.
Most existing resources are US-centric and bury international workers under irrelevant listings. AITasks.live treats geographic eligibility as a first-class filter, not an afterthought.
Each platform has its own niche — pay tier, task type, eligibility model, and quirks. Editorial notes and live listings appear on the directory at launch.
Credentialed expert contributor work — doctors, lawyers, engineers, PhDs. Public job board at work.mercor.com/explore. Among the highest pay tiers in the ecosystem.
Scale AI's contributor-facing brand. Coding, writing, STEM, language, and generalist tasks. Login-walled feed; listings are surfaced when verifiable.
RLHF and evaluation tasks, primarily writing-focused. Application-based entry. Steady reputation in the contractor community.
High-quality annotation and RLHF for major model labs. Selective intake. Strong pay relative to general annotation platforms.
AI training and agent operations work. Tasks include prompt engineering, evaluation, and structured business workflows.
Academic and applied research studies, including AI evaluation tasks. Lower per-task pay but consistent global eligibility.
The original AI data infrastructure company. Direct Scale work is less accessible to individual contractors; most flow goes through Outlier.
Specialty platforms covering language pairs, domain expertise (medicine, law, finance), red-teaming, and emerging model-evaluation work.
Different platforms use different terminology for overlapping tasks. If you have done any of the work below, AITasks.live is for you.
Working notes from inside the AI-training-data ecosystem — how the work is structured, who pays what, and how to choose between platforms.
AI training data work covers a range of contract tasks that help train and evaluate large language models — including data annotation, labeling, RLHF, model evaluation, prompt engineering, and specialty expert contributions. Workers are typically paid hourly or per task.
Pay varies widely by platform, role, and required expertise. General annotation tasks often pay $15–25/hr, while specialized work — coding, medicine, law, advanced mathematics — can pay $40–100+/hr on platforms like Mercor and Outlier.
Yes. Many platforms accept contributors in the EU, UK, India, Latin America, and other regions, though eligibility varies task-by-task. AITasks.live treats geographic eligibility as a first-class filter to make non-US-eligible work easier to find.
Reddit and Discord are excellent for community and word-of-mouth, but bad for discovery — listings get buried, eligibility is unclear, and pay information is inconsistent. AITasks.live is editorially curated with structured data: each listing surfaces pay rate, geographic eligibility, role type, and apply link in a consistent format.
Yes. The directory is free for contractors. The site is supported by personal referral codes on platform signup links, disclosed transparently.
Soon. Check back over the coming weeks.