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Data-labeling and RL data platform supplying training data, environments and evaluation for frontier AI labs and enterprises.
Research participant marketplace that gives AI teams and academics fast access to verified, screened human data and feedback.
Outlier is a platform where experts earn freelance income training and evaluating AI by writing prompts, rubrics and rating answers.
Marketplace pairing AI labs with ethically sourced, creator-made image and video datasets, alongside freelance content gigs.
Marketplace connecting paid domain-expert contractors to AI labs for data labeling, RLHF and model evaluation work.
No public pricing
No public pricing
No public pricing
No public pricing
No public pricing
- ✦Data labeling across modalities
- ✦RL environments and reward signals
- ✦Custom model evaluations and benchmarks
- ✦Human preference/annotation from an expert network
- ✦Recursion RL platform for enterprise agents
- ✦Robotics data (video, trajectories)
- ✦300,000+ verified, screened participants
- ✦300+ audience targeting filters
- ✦Representative and quota-based sampling
- ✦API and no-code survey tool integrations
- ✦AI-powered participant quality monitoring (Protocol)
- ✦Managed services with dedicated project teams
- ✦Access to vetted domain experts
- ✦Remote AI-training gig work
- ✦Tasks: prompt writing, rubrics, rating answers
- ✦Flexible hours, work from anywhere
- ✦Weekly, quality-based pay
- ✦Roles across coding, STEM and languages
- ✦Free access to paid AI models
- ✦Large multimodal library spanning images, video, illustration, and vector art
- ✦Ethically sourced content cleared for AI training use
- ✦QA-reviewed datasets at scale
- ✦Custom dataset builds for specific structural needs
- ✦Freelance project matching based on creator skills
- ✦Creator earnings and progress dashboard
- ✦Data annotation and multi-format labeling
- ✦RLHF and human preference feedback
- ✦AI model red-teaming and safety testing
- ✦On-demand vetted ML/prompt engineering talent
- ✦Synthetic data generation
- ✦Structured model evaluation and benchmarking
- →Building training and evaluation datasets
- →Post-training and RLHF for models
- →Benchmarking model capability
- →Training enterprise specialist agents
- →Collecting human preference data for RLHF or model evaluation
- →Running academic behavioral or market research studies
- →Sourcing domain-expert data for specialized AI benchmarks
- →Earning side income as an AI trainer
- →Contributing expertise to improve AI
- →Flexible remote work for grads and experts
- →Gaining hands-on AI and prompt experience
- →Sourcing licensed visual data to train AI models
- →Requesting custom, structured multimodal datasets
- →Freelancers picking up paid photography, illustration, or design gigs
- →Tracking freelance income and project matches
- →AI labs sourcing domain experts for RLHF projects
- →Companies needing red-teaming of a new model
- →Teams building custom labeled training datasets
- →Domain experts (healthcare, legal, finance) earning remote pay for AI training work