Job Description
We're hiring a Chief AI Educator to join our growing AI Training & Upskilling Programs team - if this sounds like your kind of work, read on.
You'll be working out of Coimbatore (hybrid), and honestly, the day-to-day is going to revolve around Data Preprocessing and Natural Language Processing. We're not looking for someone who just ticks boxes - we want someone who actually cares about ai training & upskilling programs.
On paper, we'd expect M.Sc (Data Science) and somewhere around 8 years of experience, but we're just as interested in how you think as in what's on your resume.
Pay-wise, we're offering INR 9.7-58.1 LPA - fair for the senior level band and open to discussion based on what you bring.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
Learning and certification support is available for tools and frameworks directly relevant to the role. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. High performers in this role typically move into a broader ownership scope within 18-24 months. Compensation includes standard statutory benefits along with performance-linked variable pay.
The organisation has historically promoted from within for a majority of its senior and lead openings. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
Most days include at least one review checkpoint where progress is discussed against the plan for the week. Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving.
You'll be working out of Coimbatore (hybrid), and honestly, the day-to-day is going to revolve around Data Preprocessing and Natural Language Processing. We're not looking for someone who just ticks boxes - we want someone who actually cares about ai training & upskilling programs.
On paper, we'd expect M.Sc (Data Science) and somewhere around 8 years of experience, but we're just as interested in how you think as in what's on your resume.
Pay-wise, we're offering INR 9.7-58.1 LPA - fair for the senior level band and open to discussion based on what you bring.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
Learning and certification support is available for tools and frameworks directly relevant to the role. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. High performers in this role typically move into a broader ownership scope within 18-24 months. Compensation includes standard statutory benefits along with performance-linked variable pay.
The organisation has historically promoted from within for a majority of its senior and lead openings. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
Most days include at least one review checkpoint where progress is discussed against the plan for the week. Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving.