AI Training Specialist - JavaScript (Remote, Flexible)

Rise Data Labs; New York (NY); Remote; USD 28,000 - 55,000; Full time

Benefits offered by this job

Competitive hourly rates

Flexible hours

Professional development opportunities

Job summary

Rise Data Labs is a leading AI training and data annotation company that specializes in creating high-quality training data for artificial intelligence systems. We work with top AI companies and research institutions to improve machine learning models through expert human annotation and validation.

Join our remote-first team as an AI Training Specialist focused on JavaScript. You will annotate and validate data to enhance AI models, collaborate with cross-functional project teams, and contribute

Qualifications

• Proficiency in JavaScript and coding best practices.
• Experience in data annotation and validation processes.
• Strong attention to detail and commitment to quality assurance.
• Ability to work independently and collaboratively in a team environment.
• Excellent communication skills, both written and verbal.

Responsibilities

• Train and improve AI models through precise data annotation and labeling.
• Review and validate AI-generated content for accuracy and relevance.
• Leverage domain expertise to enhance AI model performance across various fields.
• Collaborate with project teams to ensure high-quality data for machine learning applications.
• Participate in the development and implementation of training protocols.

Skills

JavaScript

Attention to detail

Data annotation

Team collaboration

Communication

Job description

Rise Data Labs is a leading AI training and data annotation company that specializes in creating high-quality training data for artificial intelligence systems. We work with top AI companies and research institutions to improve machine learning models through expert human annotation and validation.

Join our remote-first team as an AI Training Specialist focused on JavaScript. You will annotate and validate data to enhance AI models, collaborate with cross-functional project teams, and contribute