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LeadУдалённоКонтракт

Lead Instructor: Machine Learning Data Associate

Оценка ИИ

Уникальная возможность работать в ведущей EdTech компании с мировым именем и влиять на карьеры тысяч людей. Гибкий график и удаленный формат работы, однако позиция является проектной и краткосрочной.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует редкого сочетания глубоких технических знаний в области разметки данных для ML, свободного владения немецким языком и навыка управления огромными аудиториями (до 8000 человек) в онлайн-формате. Высокая ответственность за соблюдение стандартов обучения и методологии SOP.

Анализ зарплаты

Медиана85 000 $
Рынок60 000 $ – 120 000 $
Оценка ИИ

Указанная роль является узкоспециализированным контрактом. На рынке США и Европы почасовые ставки для ведущих инструкторов в сфере AI/ML варьируются от $60 до $120 в час в зависимости от квалификации и масштаба аудитории. Данная позиция предполагает высокую ответственность, что ставит её в верхний сегмент рыночных оценок для контрактных преподавателей.

Сопроводительное письмо

I am writing to express my strong interest in the Lead Instructor position for the Machine Learning Data Associate program. With a solid background in data annotation workflows and a deep conceptual understanding of the ML lifecycle, I am confident in my ability to deliver high-quality instruction that bridges the gap between data labeling and model performance. My experience in managing complex QA rubrics and enforcing SOP-driven execution aligns perfectly with your mission to train learners with precision and consistency.

Having led virtual training sessions for diverse audiences, I am adept at maintaining high engagement and adapting technical content for various learning speeds. I am particularly excited about the opportunity to deliver this program in German, leveraging my bilingual proficiency to support learners while collaborating effectively with the global Correlation One team in English. I am eager to bring my expertise in responsible AI and structured rationale writing to your upcoming cohort and contribute to the success of your mission-driven programs.

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Описание вакансии

Correlation One develops workforce skills for the AI economy

Enterprises and governments work with us to develop talent and close critical data, digital, and technology skills gaps. Our global programs, including training programs and data competitions, also empower underrepresented communities and accelerate careers.

Our mission is to create equal access to the data-driven jobs of the future. We partner with top employers and government organizations to make that a reality, including Amazon, Coca-Cola, Johnson & Johnson, the U.S. State Department, and the U.S. Department of Defense.

Our skills training programs are 100% free for learners and are delivered virtually by industry experts to minimize traditional barriers to career advancement. We take pride in fostering supportive, human-led, group learning environments that build technical proficiency and confidence in participants.

Join us and let's shape the AI Economy together!

Job Summary:

Lead Instructors at Correlation One are responsible for delivering high-quality, live, virtual instruction and partnering with company personnel to drive exceptional learning outcomes. Their main focus as educators is to conduct large synchronous online lectures on technical content, training anywhere from 100 to 8,000+ diverse learners at a time, depending on the program. This role involves preparing and leading virtual classroom sessions, collaborating with operations personnel, and contributing to the overall success of the program. This is a part time, contract position.

Program Specific Information: Please note these dates and times are tentative and subject to change. If you aren't available for these dates/times, we still encourage you to apply as we may have flexibility to adjust lectures days/times.

  • Dates: June 1, 2026 – October 28, 2026
  • Frequency: Every Monday & Wednesday
  • Time: 1:00 PM – 3:00 PM EST / 19:00 - 21:00 CEST

Virtual Classroom Leadership:

  • Prepare and lead virtual classroom sessions for a range of learners, which may vary in size from 20 to 8,000+.
  • Deliver instruction on skills tailored to Learners' needs and data labeling needs
  • Oversee the management of class time Q&A and monitor chat flow, and overall class energy and engagement dynamics

Collaboration:

  • Collaborate closely with Correlation One operations personnel to ensure smooth program delivery and adherence to schedules.
  • Be flexible in contributing to classes during weekdays, as program schedules vary.
  • Assist in lesson design, development, and improvement which may include tracking edits, suggestions, or changes to curriculum as needed

Expectations:

In addition to the core responsibilities, Lead Instructors are expected to adhere to the following expectations:

Professionalism:

  • Interact professionally with learners, Correlation One staff, additional contractors, and guest speakers, maintaining a high level of courtesy and respect.

Lecture Preparation:

  • Diligently and adequately prepare for lectures to ensure the delivery of high-quality content.

Dynamic Online PresenceResponsiveness and Empathy:

  • Be highly responsive and empathetic to learners, providing thoughtful answers and assistance throughout the lesson
  • Adjust the lesson pace and presentation to meet the needs of diverse learners while also maintaining responsibility for timely delivery of the prepared content.
  • Exhibit an energy, pacing, and ability to make complex topics accessible and maintain strong learner engagement

Communication:

  • Communicate respectfully, recognizing that online or written communication may lack tone.
  • Maintain extra communicative contact with Correlation One personnel.

Positive Attitude:

  • Foster a healthy learning environment by maintaining a positive attitude and promoting a culture of learning.

Course Improvement:

  • Contribute to course improvement by providing thoughtful and transparent feedback to the Correlation One team (before and after delivery).

Your expertise

  • 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).
  • Technical ML Knowledge: 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
  • Data Annotation Background: Hands-on experience performing or leading labeling/QA workflows across text, image/video, and speech/audio, with strong consistency and guideline adherence.
  • SOP-first workflow leadership: Demonstrated ability to teach and enforce SOP-driven execution standards, including “no guessing,” disciplined escalation, and consistent documentation/audit trails.
  • Writing & Communication Excellence: Model expert-level precision in writing structured rationales (Claim → Evidence → SOP Reference) to teach learners how to effectively "train" AI models.
  • Quality Assurance (QA) Expertise: Apply complex QA rubrics and root-cause analysis techniques to identify and mitigate labeling errors using spreadsheet-based tools.
  • Responsible AI + privacy/security fundamentals: Ability to teach bias awareness, transparency norms, and confidentiality/secure data handling expectations in labeling workflows.
  • Virtual Instructional Leadership: Proven track record of delivering high-quality, live virtual instruction to large, diverse groups ranging from 100 to over 8,000 learners.
  • Curriculum Development: Experience assisting in the design and refinement of technical lessons, including hands-on skills labs.
  • Adaptive Teaching: Demonstrated ability to adjust lesson pacing and presentation to meet the needs of diverse learners while maintaining a positive learning culture.

Preferred

  • AWS Certified AI Practitioner certification (AIF-C01) or equivalent demonstrated mastery, plus experience mapping training content to AWS AIF-C01 domains and coaching exam readiness.

Where you are

  • This role is remote and can be located anywhere that is compatible with the EST time zone. We are headquartered in New York City and have office space in Midtown Manhattan.

Correlation One’s Commitment

Correlation One is proud to be an Equal Opportunity Employer and is committed to providing equal opportunity for all employees and applicants. Correlation One provides a work environment free of discrimination and harassment. Employment decisions at Correlation One are based solely on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, or any other status protected by the laws or regulations in the locations where we operate.  We encourage applicants to bring their unique skills, experiences, and outlook to our work environment.

Correlation One is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Correlation One strives to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidates@correlation-one.com.

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Навыки

  • Quality Assurance
  • Machine Learning
  • Public Speaking
  • Data Annotation
  • German
  • Curriculum Development
  • Data Labeling
  • AWS Certified AI Practitioner

Возможные вопросы на собеседовании

Проверка владения немецким языком на профессиональном уровне, так как это основное требование для обучения.

Können Sie Ihre Erfahrungen mit Datenannotation und Qualitätskontrolle auf Deutsch erläutern?

Важно понять, как кандидат удерживает внимание тысяч студентов одновременно.

Как вы поддерживаете вовлеченность и энергию в виртуальном классе, когда количество слушателей превышает несколько сотен человек?

Роль требует обучения строгим стандартам (SOP), важно проверить готовность кандидата их соблюдать.

Опишите ваш опыт внедрения и контроля соблюдения стандартных операционных процедур (SOP) в процессах разметки данных.

Проверка понимания того, как качество данных влияет на конечную модель.

Как бы вы объяснили студентам связь между качеством аннотации текста и поведением большой языковой модели (LLM)?

Оценка способности кандидата давать конструктивный фидбек и улучшать учебный план.

Приведите пример, когда вам приходилось адаптировать сложный технический материал «на лету» из-за того, что аудитория его не усваивала.

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