Lead Instructor: Data Annotation (Somali Speaking)
Контакты
Формат работы
remote (Global)
Тип работы
parttime
Грейд
lead
Английский
b2
qamachine learninggenerative aidata annotationdata labelingroot cause analysismultimodal dataresponsible aisomalionline instruction
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли понятный фокус на обучении, конкретные обязанности и связь с развитием навыков в сфере ИИ, но формат частичного контракта и пока неизвестные расписание и размер группы оставляют неопределённость по нагрузке и срокам.
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График не утверждёнЧастичная занятостьПонятные обязанностиОбучение в сфере ИИ
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Lead Instructor: Data Annotation (Somali speaking) (AI data annotation): Delivering live virtual instruction on multimodal data labeling, annotation guidelines, AI output evaluation, and quality processes for learners preparing for remote AI data jobs with an accent on Somali-English technical teaching, beginner-friendly instruction, and practical portfolio projects. Focus on demonstrating real annotation workflows, improving labeling accuracy through quality checks and root cause analysis, and adapting lessons for learners with different starting points.
Location: Remote and open to candidates anywhere, provided they can reliably teach during East Africa Time (EAT) program hours
Company
hirify.global provides AI and data workforce development programs for employers, governments and international organizations.
What you will do
Prepare and lead live virtual lectures and hands-on demonstrations using the provided Data Annotation curriculum.
Teach learners to perform text, speech, audio, image and video annotation, including guideline interpretation, quality checks and error correction.
Evaluate dialogue and AI outputs, explain annotation workflows, and help learners create practical portfolio projects.
Manage Q&A, chat, pacing and engagement for learners with different starting points.
Collaborate with the operations team and Teaching Assistants, attend pre-lecture meetings and weekly check-ins, and contribute to lesson improvement.
Requirements
Professional working proficiency in both Somali and English, spoken and written, with the ability to teach technical content in both languages.
5+ years of professional experience in data annotation, data labeling, AI training data, data quality or machine learning operations, including team lead, reviewer or quality assurance responsibility.
A relevant degree, such as computer science, information systems, linguistics or data science, or equivalent industry experience.
Expertise in multimodal data labeling; interpreting, applying and improving annotation guidelines; dialogue and AI output evaluation; quality checks, accuracy and consistency metrics; root cause analysis; and confidential and secure data handling.
Knowledge of how labeled data is used to train AI, including machine learning, generative AI and responsible AI fundamentals.
Hands-on experience with annotation and labeling platforms.
Teaching or training experience with adult learners, ideally remotely and with beginners.
Ability to make complex topics accessible, with energy and patience.
Comfort with Zoom, Pumble or Slack and online learning platforms.
Professionalism, respectful communication, responsiveness, empathy and the ability to apply learner feedback.
Nice to have
AWS Certified AI Practitioner (AIF-C01) or an equivalent AI certification.
Arabic proficiency and familiarity with Maay and standard Somali.
Familiarity with the Somali context, including education access, connectivity and remote work.
Experience working in or hiring for remote or freelance annotation and AI data roles.
Culture & Benefits
Part-time contract opportunity within the Expert Network.
Fully virtual program with live lectures scheduled during EAT hours; final dates, lecture times and cohort size will be shared before commitment.
Lecture plans must be submitted for review 10 days in advance.
Includes collaboration with hirify.global staff and Teaching Assistants through pre-lecture meetings and a short weekly check-in.
Equal-opportunity environment with accommodations available for the application or interview process.
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