AI Training Implementation Specialist
Quick facts
- Type
- Contract
- Location
- Remote
- Background
- Bachelor's degree
- Skills
- Python
- Platform
- RiseDataLabs — 106 open jobs
- Apply
- Free to apply — never pay to get AI training work
Key Responsibilities
Train and improve AI models through precise data annotation and labeling.
Review and validate AI-generated content for accuracy and compliance with project specifications.
Provide domain expertise to enhance AI model performance and reliability.
Collaborate with cross-functional teams to ensure alignment with project goals and deliverables.
Maintain high standards of quality assurance in data used for machine learning applications.
Work on various AI training projects, adapting methodologies to meet diverse client needs.
Required Skills and Qualifications
Bachelor's degree in a relevant field (e.g., Computer Science, Data Science, or a related discipline).
Proven experience in data annotation, data labeling, or a related area.
Strong attention to detail and commitment to quality assurance.
Ability to work independently and collaboratively in a team environment.
Excellent analytical skills and problem-solving abilities.
Familiarity with AI concepts and machine learning processes is a plus.
Preferred Qualifications
Experience with specific AI tools and platforms for data annotation.
Knowledge of programming languages such as Python or R.
Prior experience in a fast-paced, agile work environment.
What We Offer
At Rise Data Labs, we foster a collaborative and innovative work environment. We offer competitive compensation, opportunities for professional growth, and the chance to work on cutting-edge AI projects that make a real impact. Join us and be part of a team that values creativity, quality, and excellence.
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.