Lead Instructor: Machine Learning Data Associate

Requirements

• Fluency in German sufficient to deliver all instruction and learner support professionally, combined with strong English proficiency for written communication, meetings, alignment, and issue escalation.
• Strong practical understanding of the machine learning lifecycle, including data collection, model training, evaluation, and deployment, with the ability to explain how labeling decisions affect model behavior and downstream outputs.
• Solid knowledge of generative AI and foundation models, including concepts such as pre-training, fine-tuning, reinforcement learning from human feedback (RLHF), and human feedback for model alignment.
• Hands-on experience with prompt engineering, including zero-shot, one-shot, and few-shot prompting, and the ability to teach learners how to interpret requirements, identify task constraints, and evaluate output quality.
• Working knowledge of Retrieval-Augmented Generation (RAG) and production AI workflows, including the ability to explain how to assess outputs for relevance, faithfulness, and groundedness.
• Understanding of multimodal and cross-modal AI, including how models process and generate text, images, audio, and video, and how these capabilities influence annotation and evaluation tasks.
• Knowledge of responsible AI, privacy, confidentiality, security, bias awareness, and transparency principles relevant to data labeling and AI workflows.
• Demonstrated experience delivering high-quality live virtual instruction, ideally to large and diverse audiences.
• Experience supporting technical curriculum development, lesson refinement, skills labs, or similar instructional content.
• Strong communication, presentation, empathy, adaptability, and classroom-management skills, with the ability to make complex technical concepts easy to understand.
• A positive and collaborative mindset, with strong attention to preparation, professionalism, responsiveness, and continuous improvement.
• Preferred: AWS Certified AI Practitioner (AIF-C01) certification or equivalent expertise, particularly experience aligning training content with certification domains and supporting exam readiness.

Benefits

• Remote work: Work remotely from Romania or another location compatible with the required time zone.
• Part-time contract: Flexible engagement structured around scheduled instructional sessions and program needs.
• Virtual-first environment: Deliver impactful learning experiences entirely online using modern virtual classroom tools.
• High-impact teaching: Reach diverse learner populations and contribute to workforce development in AI and data.
• Professional collaboration: Work alongside program, operations, and instructional teams in an international environment.
• Curriculum involvement: Contribute ideas and expertise to the development and continuous improvement of technical training content.
• Potential schedule flexibility: Program dates and lecture times may be adjusted depending on program requirements and instructor availability.
• Inclusive environment: Participate in a learning culture focused on respect, accessibility, diversity, and equal opportunity.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.