AI Training Specialist - Mechanical Engineering Domain Expert
Quick facts
- Type
- Contract
- Location
- Remote
- Background
- Master's degree
- Skills
- Engineering
- Platform
- RiseDataLabs — 106 open jobs
- Apply
- Free to apply — never pay to get AI training work
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.
About RiseDataLabs
Rise Data Labs hires AI training specialists to create and review data for language models. Openings cover programming (Python, JavaScript, C#, SQL, HTML), chemistry, finance, data annotation and non-English languages such as French.