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Pricing
No public pricing
Freelance Hires: $15 - $110+
Full-time Hires: 20% of the annual salary
No public pricing
Professional: $ 239.99 / yr
Premium: $ 23.99 / mo
Employer: Enterprise Plan
No public pricing
Core features
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- ✦AI-powered candidate matching
- ✦Vetted remote talent pool
- ✦Freelance and full-time hiring options
- ✦Global reach (190 countries)
- ✦Secure payments and compliant global hires
- ✦AI-powered candidate matching
- ✦Global remote job opportunities
- ✦Automated application distribution
- ✦Interview scheduling and support
- ✦Compliant global payments
- ✦Salary search and benchmarking
- ✦Offer letter analysis
- ✦Career path visualization
- ✦Salary comparison
- ✦Layoff tracking
- ✦AI-driven job application (JobGPT)
- ✦AI-driven career feedback (Career Roast)
- ✦Global freelance marketplace for AI training data experts (40,000+ vetted trainers)
- ✦Compatibility and integration with any data labeling software/tool
- ✦Secure global payment system with escrow milestones
- ✦Direct hiring and management of freelance human data experts
- ✦One-stop sourcing for individual freelancers and outsourced labeling providers
- ✦Fully-managed AI data labeling service option
- ✦Access to domain-expert AI Trainers for various data annotation needs
Use cases
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- →Hiring a remote full-stack developer for a web application project.
- →Finding a freelance UX designer to improve user experience.
- →Scaling a marketing team with remote content writers and SEO specialists.
- →Finding remote job opportunities in AI and related fields
- →Connecting companies with top AI talent
- →Streamlining the hiring and payment process for global teams
- →An employee wants to negotiate a better salary package using market data.
- →A job seeker wants to auto-apply to thousands of jobs using AI.
- →A professional wants to understand their career path options and potential impact of AI on their role.
- →An HR professional wants to benchmark salaries for their company.
- →RLHF (Reinforcement Learning from Human Feedback)
- →Coding data labeling
- →STEM Labeling
- →Reasoning & Planning data annotation
- →Dataset Curation
- →Video annotation
- →Fine-Tuning data preparation
- →LLMs & Generative AI data
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