AI Training Specialist - Mechanical Engineering Domain Expert

Role overview Use mechanical engineering expertise to improve AI models by labeling training data and checking model-generated material. The work centers on producing accurate, relevant examples for machine learning projects and sharing subject-matter feedback with project teams.

Responsibilities - Annotate and label mechanical engineering data for AI training. - Review generated content for technical accuracy and relevance. - Provide expert feedback to help improve model performance. - Coordinate with other specialists on AI training projects. - Apply quality checks to data used in machine learning.

Requirements - Bachelor’s degree in mechanical engineering or a related field. - Solid grasp of mechanical engineering principles and applications. - Experience with data annotation or AI training workflows. - Careful, detail-focused approach to quality assurance. - Ability to use annotation tools and software.

Nice to have - Master’s degree in mechanical engineering or a related discipline. - Experience in AI or machine learning development, including familiarity with ML frameworks. - Awareness of data privacy and ethical issues in AI training.

Benefits and work setup Flexible working hours and opportunities for professional growth are offered. The role is described as remote-first.