Engineering Manager - AI Trainer
Posted 3 days ago by micro1
Negotiable
Undetermined
Remote
EMEA
Summary: Join a remote team as an Engineering Manager - AI Trainer, where you will lead the development of innovative AI systems across various engineering domains. This part-time role involves mentoring engineers, designing AI training programs, and ensuring high-quality standards in data handling. You will collaborate with cross-functional teams and stay updated on industry trends to enhance training methodologies. Your leadership and engineering expertise will be crucial in driving project success and fostering a collaborative environment.
Key Responsibilities:
- Lead and mentor a distributed team of engineers and AI specialists, fostering a culture of learning and collaboration.
- Design, develop, and optimize scalable AI training programs tailored to diverse engineering domains.
- Collaborate closely with cross-functional stakeholders to define project goals, requirements, and deliverables.
- Ensure the highest standards of quality and accuracy in data labeling, model evaluation, and feedback loops.
- Drive process improvements and implement best practices for AI system training and deployment.
- Continuously monitor industry trends to keep training methodologies cutting-edge and effective.
- Communicate complex technical concepts clearly and persuasively in both written and verbal formats.
Key Skills:
- Proven experience managing and mentoring technical teams in an engineering environment.
- Exceptional written and verbal communication skills with a strong attention to detail.
- Demonstrated ability to lead projects across all engineering domains and adapt to diverse technical challenges.
- Strong problem-solving skills and a passion for continual learning and process optimization.
- Proficiency in remote collaboration tools and comfortable working with geographically dispersed teams.
- Track record of driving results in fast-paced, dynamic environments.
- Advanced degree in Engineering, Computer Science, or a related field (preferred).
- Experience developing or refining educational content or training materials for technical audiences (preferred).
- Familiarity with multi-domain engineering projects and global team leadership (preferred).
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Job Title: Engineering Manager - AI Trainer
Job Type: Part-Time (10-20 Hours per week)
Location: Remote
Job Summary
Join our customer’s team as an Engineering Manager - AI Trainer and spearhead the development of next-generation AI systems across all domains of engineering. Leverage your engineering expertise and leadership prowess to design, implement, and refine AI training methodologies while guiding a team of talented professionals in a remote, innovative environment.
Key Responsibilities
- Lead and mentor a distributed team of engineers and AI specialists, fostering a culture of learning and collaboration.
- Design, develop, and optimize scalable AI training programs tailored to diverse engineering domains.
- Collaborate closely with cross-functional stakeholders to define project goals, requirements, and deliverables.
- Ensure the highest standards of quality and accuracy in data labeling, model evaluation, and feedback loops.
- Drive process improvements and implement best practices for AI system training and deployment.
- Continuously monitor industry trends to keep training methodologies cutting-edge and effective.
- Communicate complex technical concepts clearly and persuasively in both written and verbal formats.
Required Skills and Qualifications
- Proven experience managing and mentoring technical teams in an engineering environment.
- Exceptional written and verbal communication skills with a strong attention to detail.
- Demonstrated ability to lead projects across all engineering domains and adapt to diverse technical challenges.
- Strong problem-solving skills and a passion for continual learning and process optimization.
- Proficiency in remote collaboration tools and comfortable working with geographically dispersed teams.
- Track record of driving results in fast-paced, dynamic environments.
Preferred Qualifications
- Advanced degree in Engineering, Computer Science, or a related field.
- Experience developing or refining educational content or training materials for technical audiences.
- Familiarity with multi-domain engineering projects and global team leadership.