AI in Education

Learning Data Operations Assistant

  • Maharashtra
  • ₹610,000 - ₹1,720,000
  • Full Time Job

Job Description

Position: Learning Data Operations Assistant
Function: AI in Education
Industry: EdTech
Grade: junior level
Location: Hybrid - Pune
Employment Type: Full-time
Compensation: INR 6.1-17.2 LPA

The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with ai in education, in accordance with the standards and processes laid down by EdTech.

Minimum Qualification: B.Ed
Minimum Experience: 2 years
Core Competencies Required: AI in Education, Product Knowledge (EdTech Platforms), A/B Testing (EdTech), Learning Experience Design, Data-driven Learning Analytics, Customer Success (EdTech)

Further Information:
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. The organisation has historically promoted from within for a majority of its senior and lead openings. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. The package is structured with a fixed component, performance bonus, and standard health coverage. High performers in this role typically move into a broader ownership scope within 18-24 months. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.

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