AI Data Operations Analyst
Full-time
Entry Level
Free Account • Free to Apply • No Credit Card Required
Salary
5-8 USD Hourly
Category
Operations
Expires
Jan 20, 2026
Posted
Nov 21, 2025
Job Description
About the Role:
As an AI Data Operations Analyst , you will be a pivotal team member in ensuring the highest levels of service for our users. You’ll be involved in the day-to-day operations of the Customer Operations team, managing our AI agent + Human in the loop processes, and working with the product & data team to train our agents in a timely & efficient manner . You’ll also play a critical role in managing AI assisted reviews for our customers on a daily basis and ensure timely resolution of the reviews while also working on automations to improve AI agentic behaviour
Key Responsibilities:
AI Data Operations Analyst
• Execute and manage human + AI review moderation workflows for major brand partners, ensuring high quality, compliance with brand guidelines, and timely turnaround.
• Managing AI assisted reviews for our customers on a daily basis and ensure timely resolution of the reviews
• Validate and refine AI-generated data such as:
• Issue classification
• Output verification for agentic training
• Perform data training, labeling, and validation tasks to support agent model retraining and brand-specific behavior tuning.
• Develop, maintain, and document processes for gathering, managing, and applying brand guidelines into Momo’s AI system.
• Support manual SFTP uploads of reviews and CDP data, pulling from FDP and other internal/external sources.
Data Automation & Advanced Operations
• Build out processes and operate automations and scripts to streamline onboarding workflows, reducing reliance on engineering teams.
• Map out SFTP and other data integration touchpoints, both internally and externally; recommend improvements for seamless data flow into Momo’s ecosystem.
• Support partnerships-related onboarding/offboarding owning the operational processes end to end.
• Provide analytics support for Strategic Ops, Customer Success, and Customer Operations teams. Examples:
• Account health reporting
• Operational insights dashboards
• Data pulls and SQL query support
• Collaborate with engineering and data teams to identify opportunities to optimize data pipelines, automate manual tasks, and improve operational efficiency.
Key Performance Indicators (KPIs):
• Maintain best in class service quality for our agentic review system
• Meet or exceed First Response Time targets.
• Meet or exceed Resolution Times
• Bring down AI assisted reviews error rate to <0.1%
Requirements
• 1 to 2 years of overall experience in data operations/ customer support
• Working knowledge of Excel, reporting tools or SQL or a bachelor's degree in data related fields
• Strong operator mindset and a track record of tackling challenging scenarios ensuring the customer operations function works like a clockwork.
• Proactive mindset, eager to learn, and committed to continuous professional development.
• Excellent interpersonal skills, maintaining a positive demeanor and outstanding communication abilities.
• Willing to work in US hours & APAC hours as needed
• Passionate about working with customers and dedicated to exceeding their goals.
Benefits
• Competitive salary and bonus scheme
• Private medical insurance
• Paid time off and flexible working culture
• Opportunities for rapid career advancement
• A dynamic and inclusive company culture
• Access to the latest technology and tools for personal development
• Comprehensive onboarding program for new employees
• Employee recognition programs for outstanding performance
• Participation in industry conferences and events
• A supportive environment that encourages innovation and creativity
Cultural Values
• Mission-driven and fast-paced, entrepreneurial environment
• A collaborative and flat company culture
• Comprehensive private health insurance
• Discretionary trips to our offices across the globe, with global travel medical insurance (when it's safe to travel!)
• Cross-cultural team bonding/networking
• Love Food? Join our Team!
Syndicated Job - Sourced from Himalayas
About the Company
Company information is hidden.
Create a free account to view company details and apply for jobs - no credit card required!
Free Account • Free to Apply • No Credit Card Required