Retail & eCommerce Specialist - AI Training (Remote)
About the Role
Join LILT as a Retail & eCommerce Specialist - AI Training (Remote) and leverage your expertise to enhance AI models for eCommerce projects. This role offers you the chance to work remotely, contributing to innovative AI-driven communication solutions that make information accessible across languages. As a Retail & eCommerce Specialist, you will focus on AI training, utilizing your knowledge in Product Taxonomy and Search & Relevance.
What You'll Do
- Participate in data annotation projects to improve AI model performance.
- Engage with cutting-edge AI technology to enhance model-based eCommerce support.
- Collaborate globally with a talented team of experts in the field.
- Provide insights and expertise in Retail and eCommerce to drive project success.
- Work 10-20 hours per week with the potential for increased hours based on project needs.
Requirements
- Native speaker of one of the listed languages.
- University degree, preferably a Masters or PhD, in relevant fields.
- Proven experience in Retail or eCommerce.
- Specialization in Product Taxonomy or Search & Relevance.
- Strong grasp of Retail & eCommerce terminology.
Nice to Have
- Experience in AI training or related fields.
- Familiarity with data annotation tools and processes.
- Previous freelance experience in a similar role.
What We Offer
- Flexible work hours to accommodate your schedule.
- Competitive pay rate of up to $100 per hour.
- Opportunity to influence the future of AI in translation.
- Collaborate with a talented global team of professionals.
- Access to innovative AI technology and projects.
This remote role offers a unique opportunity to work with innovative AI technology while contributing to the future of eCommerce. With competitive pay and flexible hours, it's an attractive position for specialists in the field.
Who Will Succeed Here
Proficient in utilizing AI training tools and platforms such as TensorFlow or PyTorch to enhance product taxonomy and search relevance for eCommerce applications.
Self-motivated and detail-oriented with a strong ability to analyze data annotation processes and improve them for better AI model accuracy, thriving in a fully remote work environment.
Possesses a deep understanding of retail terminology and eCommerce trends, with a mindset geared towards continuous learning and adaptation in a rapidly evolving technology landscape.
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