AI Training Specialist - Python Developer

Rise Data Labs; EE. UU.; A distancia; USD 21.000 - 62.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive hourly rate

Professional development

Supportive work environment

Flexible hours

Remote work options

Descripción de la vacante

Ideal candidates bring Python proficiency with Pandas/NumPy, experience in data annotation and QA, and the ability to work independently in a fast-paced, remote-friendly environment. We offer competitive hourly pay and opportunities for growth.

Formación

• Proficiency in Python and data libraries (Pandas, NumPy).
• Experience with data annotation and QA processes.
• Strong attention to detail and accuracy in data handling.
• Ability to work independently and collaboratively in a fast-paced environment.

Responsabilidades

• Train and improve AI models through data annotation and labeling.
• Review and validate AI-generated content for accuracy and relevance.
• Provide domain expertise to enhance AI model performance.
• Collaborate on AI training projects across multiple fields.
• Ensure high-quality data for machine learning applications.

Conocimientos

Python

Pandas

NumPy

Data annotation

Quality assurance

Attention to detail

Independent work

Herramientas

TensorFlow

PyTorch

Descripción del empleo

About Rise Data Labs

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.

About Rise Data Labs

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.

Our team of domain specialists, subject matter experts, and quality assurance professionals work across various fields including economics, finance, psychology, computer science, business, mathematics, chemistry, physics, and engineering. We pride ourselves on our attention to detail, domain expertise, and commitment to delivering accurate, high-quality training data.

At Rise Data Labs, we believe in the power of human expertise to enhance AI capabilities. We offer our team members the opportunity to work on cutting-edge AI projects while contributing their specialized knowledge to advance the field of artificial intelligence. Our flexible, remote-first approach allows experts from around the world to participate in shaping the future of AI.

AI Training Specialist - Python Developer

We are seeking a skilled AI Training Specialist with a strong background in Python coding to join our dynamic team at Rise Data Labs. This role will involve training and enhancing AI models through meticulous data annotation and validation of AI-generated content.

Key Responsibilities

• Train and improve AI models through data annotation and labeling.
• Review and validate AI-generated content for accuracy and relevance.
• Provide domain expertise to enhance AI model performance.
• Collaborate on various AI training projects across multiple fields.
• Ensure high-quality data for machine learning applications.

Required Skills And Qualifications

• Proficiency in Python and relevant libraries (e.g., Pandas, NumPy).
• Experience in data annotation and quality assurance processes.
• Strong attention to detail and accuracy in data handling.
• Ability to work independently and collaboratively in a fast-paced environment.

Preferred Qualifications

• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
• Familiarity with various data types and formats.
• Prior experience in an AI training or data annotation role.

What We Offer

• Competitive hourly rate ranging from $15 to $45 based on experience.
• Opportunities for professional development and growth within the company.
• A supportive and innovative work environment.
• Flexible working hours and remote work options.