Lead Instructor: Machine Learning Data Associate

Requirements

• Bilingual Proficiency required for Machine Learning Data Associate 1 program: Deliver all instruction and learner support in German; use English professionally to collaborate with the C1 team (written updates, alignment meetings, issue escalation, and clarifications).
• Strong conceptual understanding of the ML lifecycle and foundation model workflows sufficient to connect labeling work to downstream model behavior, without requiring model-building instruction
• Hands-on experience performing or leading labeling/QA workflows across text, image/video, and speech/audio, with strong consistency and guideline adherence.
• Demonstrated ability to teach and enforce SOP-driven execution standards, including “no guessing,” disciplined escalation, and consistent documentation/audit trails.
• Model expert-level precision in writing structured rationales (Claim → Evidence → SOP Reference) to teach learners how to effectively 'train' AI models.
• Apply complex QA rubrics and root-cause analysis techniques to identify and mitigate labeling errors using spreadsheet-based tools.
• Ability to teach bias awareness, transparency norms, and confidentiality/secure data handling expectations in labeling workflows.
• Proven track record of delivering high-quality, live virtual instruction to large, diverse groups ranging from 100 to over 8,000 learners.
• Experience assisting in the design and refinement of technical lessons, including hands-on skills labs.
• Demonstrated ability to adjust lesson pacing and presentation to meet the needs of diverse learners while maintaining a positive learning culture.

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Visa Sponsorship
• Four Day Work Week
• Generous Parental Leave
• Tuition Reimbursement
• Relocation Assistance