AI Training Implementation Specialist

Role overview Support AI model improvement by producing and checking high-quality labeled data. You will review generated content, apply relevant subject knowledge, and coordinate with project teams to meet defined goals across training projects in multiple fields.

Responsibilities - Annotate and label data to support AI model training. - Review generated content for accuracy and compliance with project specifications. - Apply domain expertise to improve model performance and reliability. - Coordinate with cross-functional teams on goals and deliverables. - Maintain quality standards and adapt annotation methods to different projects.

Requirements - Bachelor's degree in a relevant area, such as computer science or data science. - Experience with data annotation, labeling, or related work. - Strong attention to detail and commitment to quality assurance. - Analytical and problem-solving skills. - Ability to work independently and collaboratively.

Nice to have - Familiarity with AI concepts and machine learning processes. - Experience using annotation tools or platforms. - Knowledge of Python or R. - Experience in a fast-paced, agile environment.

Benefits and work setup The source describes competitive compensation, professional growth opportunities, and a collaborative environment with the chance to contribute to AI projects.