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AI Training Specialist - Mechanical Engineering Domain Expert

Rise Data Labs Β· 100% remote Β· Contract Β· Posted

Pay
$25–45/hr
Location
Worldwide
Languages
English
Hours
Flexible hours
Openings
Not listed
Level
Expert

Summary

Annotate mechanical engineering data and validate AI-generated content for accuracy and domain relevance. Apply engineering expertise to improve AI models and training data quality.

What you'll do

  • Annotate and label mechanical engineering data
  • Validate AI-generated content for accuracy and domain relevance
  • Provide mechanical engineering expertise
  • Collaborate with teams on AI training projects
  • Maintain training data quality

Requirements

  • Bachelor's degree in Mechanical Engineering or a related field
  • Strong understanding of mechanical engineering principles and applications
  • Experience with data annotation and AI training
  • Attention to detail and quality assurance skills
  • Proficiency in annotation tools
  • Preferred: master's degree in Mechanical Engineering or a related field
  • Preferred: AI/ML development experience
  • Preferred: familiarity with data privacy and AI ethics

Skills

  • Mechanical Engineering
  • Data Annotation
  • AI Model Training
  • Quality Assurance
  • Annotation Tools
  • Machine Learning
  • Data Privacy
  • AI Ethics

Full description

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.

Job Overview

As an AI Training Specialist specializing in Mechanical Engineering, you will play a critical role in enhancing the performance of AI models through data annotation, labeling, and validation. You will leverage your domain expertise to ensure the accuracy and relevance of AI-generated content across various projects.

Key Responsibilities

  • Train and improve AI models by annotating and labeling data specific to mechanical engineering.
  • Review and validate AI-generated content for accuracy and domain relevance.
  • Provide expert insights to enhance AI model performance in the mechanical engineering field.
  • Collaborate with cross-functional teams on diverse AI training projects.
  • Ensure high-quality data for machine learning applications to drive model effectiveness.

Required Skills and Qualifications

  • Bachelor's degree in Mechanical Engineering or a related field.
  • Strong understanding of mechanical engineering principles and applications.
  • Experience with data annotation and AI training processes.
  • Excellent attention to detail and quality assurance skills.
  • Proficient in using annotation tools and software.

Preferred Qualifications

  • Master's degree in Mechanical Engineering or a related field.
  • Experience in AI/ML development and understanding of machine learning frameworks.
  • Familiarity with data privacy and ethical considerations in AI training.

What We Offer

At Rise Data Labs, we value our team members and offer competitive compensation, flexible working hours, and opportunities for professional growth in the rapidly evolving field of AI. Join us to make a significant impact in the realm of AI training and development.

Location: Global - All countries welcome (remote).

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