Back Office Analyst

Posted 20 Days Ago
Hiring Remotely in United States
Remote
300K-650K Annually
Entry level
Artificial Intelligence • Generative AI • Big Data Analytics • Automation
The Role
Review, label, and QA datasets for AI/ML training; maintain trackers, databases, and dashboards; follow annotation guidelines and SOPs; prepare and clean data; document processes; collaborate to resolve data queries while ensuring confidentiality and timely delivery.
Summary Generated by Built In
Role OverviewBack Office Associate – AI Model Training

Finmoml is seeking a detail-oriented and disciplined Back Office Associate to support our AI model training and data management operations. In this role, you will play a key part in preparing, organizing, and managing datasets that train and improve artificial intelligence systems. Your accuracy, consistency, and ability to follow structured processes will directly contribute to the quality and performance of our AI models.

This is a permanent remote position, ideal for candidates who are self-motivated, reliable, and capable of maintaining high productivity while working independently.

Responsibilities
  • Accurately review, label, and categorize data used to train AI and machine learning models.

  • Maintain and update operational trackers, databases, and dashboards in real time.

  • Follow clear annotation and tagging guidelines to ensure data consistency and quality.

  • Support AI research and development teams by preparing and cleaning datasets.

  • Perform quality assurance checks on processed data to maintain accuracy.

  • Document processes and maintain detailed records as per standard operating procedures (SOPs).

  • Collaborate with internal teams to resolve data-related queries and ensure timely task completion.

  • Handle internal communication and reporting with a problem-solving and ownership mindset.

  • Ensure confidentiality, data security, and compliance with organizational policies.

Requirements
  • Strong attention to detail and ability to perform repetitive tasks with precision.

  • Basic understanding of data organization, tagging, or categorization processes.

  • Proficient in MS Excel, Word, and email communication.

  • Good written English and ability to understand task instructions clearly.

  • Self-motivated, disciplined, and able to manage workload independently.

  • Strong time management skills with a commitment to meeting deadlines.

  • Prior experience in back-office, data entry, or data annotation will be an added advantage.

Benefits
  • Permanent Work-from-Home – Enjoy the flexibility of working from your preferred location.

  • Competitive Salary – Up to ₹50,000/month with up to 30% guaranteed hike on your last drawn salary.

  • Structured Training & Onboarding – Hands-on guidance to help you understand AI model workflows.

  • Professional Growth – Gain exposure to the rapidly growing fields of AI, data science, and automation.

  • Work-Life Balance – Fixed working hours and weekly offs for a stable routine.

  • Supportive Culture – Work with a team that values learning, growth, and collaboration.

Skills Required

  • Strong attention to detail and ability to perform repetitive tasks with precision.
  • Basic understanding of data organization, tagging, or categorization processes.
  • Proficient in MS Excel, Word, and email communication.
  • Good written English and ability to understand task instructions clearly.
  • Self-motivated, disciplined, and able to manage workload independently.
  • Strong time management skills with a commitment to meeting deadlines.
  • Prior experience in back-office, data entry, or data annotation.
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The Company

What We Do

Finmoml specializes in streamlining data processing for companies with extensive databases, helping them optimize their processes and unlock new efficiencies. Their expertise lies in Generative AI, Data Science Automation, and MLOps solutions. The company develops customized data applications and innovative data analytics to help businesses gain actionable insights from their data, driving informed decision-making and strategic planning for business growth.

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