What roles are most common in AI training?
Most openings involve response evaluation, annotation quality checks, safety labeling, and instruction-following data workflows.
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Unknown
rustLabs pays vetted domain experts to build reinforcement-learning data and evaluations for AI labs (especially smaller labs), converting specialized knowledge into training data across software engineering, finance, ML, science, legal, and medical. Experts apply with proof of expertise, complete a calibration task, then pick projects and work remotely by the hour.
Eagan, MN, USA
Pasiflora AI (launched April 2026, Eagan, Minnesota) connects AI labs with credentialed domain experts (PhD, MD, JD, CFA) to produce specialized training data that general crowdsourcing cannot. Every approved expert completes its 'Bloom Program' onboarding before being staffed, and work is matched by credential level. Led by CEO Kari Olson.
Redwood City, CA, USA
Pila8 is a mobile contributor app by Y Combinator-backed BeSimple AI (founded 2025, Redwood City) that pays users to record short voice and video clips used to train AI speech models on accents, dialects, and tonalities. Contributors read prompts, record and submit audio, and are paid per approved minute; the app also offers LLM red-teaming and evaluation tasks.
Singapore
Thoth AI is a Singapore-headquartered AI data-services company providing multilingual training data across 200+ languages and 100+ countries, plus content moderation. It supports the full data lifecycle - collection, cleaning, and annotation of images, video, 3D point clouds, text, and audio - operating as a managed-services partner rather than a self-serve gig marketplace.
United States
Luel (Y Combinator W26) is a rights-cleared marketplace and collection engine for multimodal AI training data. Enterprises submit a dataset spec and Luel recruits from a 500,000+ global contributor network across 96 countries, runs multi-stage QA, and delivers licensed, audit-ready datasets. Founded by William Namgyal and Inigo Lenderking; backed by Lightspeed Venture Partners.
Unknown
Labela is a platform where medical experts get paid to label medical data and evaluate medical AI outputs on a flexible schedule, positioning itself as a healthcare/life-science domain-expert community for AI training. It targets credentialed medical professionals rather than generalist annotators.
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Expert knowledge to level up your AI training career
A curated 2026 ranking of RL environment startups and companies, including coding, browser, long-horizon, alignment, and enterprise simulation builders.
A researched list of 50 startups and scale-ups building human data infrastructure for AI in 2026
A curated list of 11 companies providing medical data annotation services in 2026, covering radiology, pathology, clinical NLP, surgical video labeling, and more.
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Most openings involve response evaluation, annotation quality checks, safety labeling, and instruction-following data workflows.
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