Company:Marsh Description: We are seeking a talented individual to join our Marsh RISK team at Marsh ASIA. This role will be based in Manila, Philippines. This is a hybrid role that has a requirement of working
About Expedock We are a tech-enabled workforce augmentation platform leveraging top 1% offshore talent & cutting edge technology to enable businesses to unlock their full potential. Schedule: Night Shift Employment Type: Part-time Location: Fully Remote (WFH)
With 75 years of experience, our focus is on helping the most vulnerable children overcome poverty and experience fullness of life. We help children of all backgrounds, even in the most dangerous places, inspired by our
With 75 years of experience, our focus is on helping the most vulnerable children overcome poverty and experience fullness of life. We help children of all backgrounds, even in the most dangerous places, inspired by our
Job Description Mentoring: The Mentor agrees to render all mentoring hours and responsibilities for the specific program they are mentoring in. Learning Experience Design (LXD) Support: The Mentor, when needed or applicable, agrees to double-checking of
Senior Manager, Learning Quality & Development | Operations Customer Service & Support The Senior Manager, Learning Quality & Development will be responsible for leading a high-impact global function across training delivery, quality assurance, digital learning, and
Role Overview The Lead Operations Specialist ensures the sales and marketing teams always have clean, qualified, and campaign-ready lead lists to work from. This role owns the end-to-end process of sourcing, curating, segmenting, and importing leads
Job Title: Chargeback Analyst Location:Remote (Philippines) Overview To curate payments consistently and accurately as a detail oriented, curiosity-driven member of a fast paced team, which analyzes and optimizes the clients platform based on the clients policy
About the Role As a Senior AI/LLM Engineer, you will lead our efforts to train, align, and optimize large language models. You will own the full post-training pipeline from supervised fine-tuning through reward modeling and RL