LinkedIn Tests AI Job Marketplace Offering Up to $150 Per Hour
LinkedIn is set to enter the burgeoning AI training sector with the launch of an “AI labor marketplace.” This innovative platform allows individuals to earn up to $150 per hour by training AI chatbots across various industries, including coding, nursing, and finance.
AI Job Marketplace Details
A spokesperson from LinkedIn, a subsidiary of Microsoft, stated that AI training is among the fastest-growing job categories in the United States. The platform is currently in the testing phase of this initiative.
Role of AI Trainers
AI trainers are individuals who enhance chatbot performance by assessing their responses and pushing their boundaries. This new gig work has emerged amid the rapid expansion of AI technologies.
- Current Listings: LinkedIn features over a dozen job postings for AI trainers.
- Salary Details:
- Senior Software Engineer AI Trainer: up to $150 per hour
- Excel and Finance Experts: up to $100 per hour
- Nurse Trainers: similar pay rates as finance experts
- Germanic and Nordic Linguists Trainers: up to $100 per hour
- AI System Testers: $40-$50 per hour
New Features and Competition
LinkedIn has introduced a notification feature that alerts users about new AI training opportunities. This move positions the platform directly against several emerging AI training startups.
Some notable competitors include:
- Mercor: Valuation soared to $10 billion in under a year.
- Surge AI: Owner of the Data Annotation marketplace, valued at $24 billion.
Challenges in the AI Training Sector
The rapid growth of this sector has raised significant concerns regarding cybersecurity. For instance, Scale AI was criticized for exposing sensitive contractor and client data on unsecured Google Docs. Following a report by Business Insider, they secured the information.
Additionally, Mercor faced a major data breach that compromised contractor information and resulted in five class-action lawsuits within a week.
The landscape of AI job marketplaces is evolving quickly, blending opportunities for skilled trainers with the pressing need for secure and responsible data practices.
