4 дня назад
Talent Sourcer, Expert AI Trainers
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Talent Sourcer, Expert AI Trainers (AI data services): Sourcing, vetting, and onboarding specialized annotators and domain experts across skill profiles and languages with an accent on high-volume recruiting, AI-powered sourcing workflows, and expert relationship management. Focus on building assessment pipelines, optimizing funnel conversion, and staffing customer projects at scale.
Location: Remote
Company
is a human data partner that creates real-world datasets and provides annotation and evaluation services for companies building AI models and products through its Label Studio platform.
What you will do
- Source and recruit specialized annotators and performers across languages, regional dialects, design, clinical, and other hard-to-find profiles.
- Use LinkedIn Recruiter, professional communities, universities, niche networks, and AI-powered workflows to scale sourcing channels.
- Design vetting and assessment pipelines based on project requirements and candidate expertise.
- Build ongoing relationships with experts to maintain a warm, staffable roster between projects.
- Partner with project and delivery leads to translate customer specifications into candidate profiles.
- Improve staffed capacity so more customer work can be accepted and delivered.
Requirements
- 2–5 years of experience in high-volume recruiting.
- Experience with LinkedIn Recruiter, Sales Navigator, and other sourcing tools.
- Ability to build AI workflows that scale effective sourcing and improve annotator experience.
- Comfort managing funnel metrics including outreach volume, response rates, conversion, and time-to-fill.
- Strong written communication, responsiveness, and professionalism for email and direct-message outreach.
- Experience in fast-paced, target-driven environments such as startups, agencies, or consulting.
Culture & Benefits
- Remote work environment.
- Direct impact on the capacity and revenue of the Data Services business.
- Cross-functional collaboration with project and delivery leads.
- Work focused on real-world data collection, multimodal pipelines, and AI model evaluation.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →