Operations Associate (WFH)

About the job:1. Identify and onboard potential vendor partners for RLHF (Reinforcement Learning from Human Feedback) and data acquisition for Databrewery.

2. Proactively reach out to prospective partners via calls and emails to pitch collaboration opportunities.

3. Negotiate contract terms, strike deals, and gather/evaluate vendor rate cards to ensure cost-effective data sourcing.

4. Manage end-to-end vendor relationships, ensuring timely delivery and quality of data.

5. Track work processes and handle coordination between external vendors and internal product/data teams.Who can apply:Only those candidates can apply who:have minimum 1 years of experienceSalary:₹ 2,50,000 - 5,00,000 /yearExperience:1 year(s)Deadline:[hidden]:59:59Other perks:5 days a weekSkills required:Leadership, MS-Office, Team Management, MS-Word, Attention to Detail, Critical thinking, MS-Excel, Problem Solving, English Proficiency (Spoken) and English Proficiency (Written)Other Requirements:1. Experience in operations, social media, or customer success in tech/AI startups.2. Proficiency in Google Workspace, Excel for data analysis, and tools like WhatsApp/Slack for large groups.3. Excellent written/verbal communication with a proactive, detail-oriented mindset.4. Experience with community metrics, events, and cross-team collaboration.About Company:Renan is an AI consultancy organization that offers data annotation and LLM fine-tuning services across over 50 languages.

Responsibilities

1. Identify and onboard potential vendor partners for RLHF (Reinforcement Learning from Human Feedback) and data acquisition for Databrewery.

2. Proactively reach out to prospective partners via calls and emails to pitch collaboration opportunities.

3. Negotiate contract terms, strike deals, and gather/evaluate vendor rate cards to ensure cost-effective data sourcing.

4. Manage end-to-end vendor relationships, ensuring timely delivery and quality of data.

5. Track work processes and handle coordination between external vendors and internal product/data teams.