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Enterprise data-annotation and evaluation platform pairing a labeling tool with a managed expert annotator workforce.
Marketplace connecting paid domain-expert contractors to AI labs for data labeling, RLHF and model evaluation work.
Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
Outlier is a platform where experts earn freelance income training and evaluating AI by writing prompts, rubrics and rating answers.
No public pricing
No public pricing
No public pricing
No public pricing
No public pricing
- ✦CSV to API conversion
- ✦Data parsing (CSV to JSON)
- ✦Filtering capabilities
- ✦Customizable multimodal annotation editors for image, video, text and audio
- ✦Support for RLHF preference data, SFT datasets, RAG and agent evaluation workflows
- ✦Managed expert annotator workforce option
- ✦Data curation, exploration and analytics tools
- ✦Team and project management with SSO on higher tiers
- ✦Integrations with AWS, GCP, Databricks, Snowflake and others
- ✦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
- ✦Signals-based fine-grained reactivity
- ✦Built-in control flow and deferrable views
- ✦Server-side rendering and hydration
- ✦First-party routing, forms and dependency injection
- ✦AI-forward tooling and MCP resources
- ✦In-browser tutorials and playground
- ✦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
- →Sharing CSV data with a team via an API
- →Creating a public API from CSV data
- →Filtering and accessing specific data within a CSV file programmatically
- →Building large-scale labeled datasets to train computer vision or NLP models
- →Running human evaluation and RLHF pipelines for LLM fine-tuning
- →Auditing and scoring AI agent decisions with human review
- →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
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
- →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