Job Description
Join us as an AI Bias & Fairness Analyst – Junior and help us push AI Ethics & Governance forward within Artificial Intelligence (AI).
You'll be working out of Hybrid - Bengaluru (internship), and honestly, the day-to-day is going to revolve around AI Ethics and Data Preprocessing. We're not looking for someone who just ticks boxes - we want someone who actually cares about ai ethics & governance.
On paper, we'd expect B.Tech (CS/AI) and somewhere around 1 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 2.8-17.4 LPA - fair for the junior level band and open to discussion based on what you bring.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. High performers in this role typically move into a broader ownership scope within 18-24 months.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. 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.
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Compensation includes standard statutory benefits along with performance-linked variable pay.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Internal job postings are open to employees who've completed a minimum tenure in their current role.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
The package is structured with a fixed component, performance bonus, and standard health coverage. Interested candidates should be prepared to walk through relevant past work during the interview process.
The next logical step from this position is a senior or lead-track role within the same function. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
You'll be working out of Hybrid - Bengaluru (internship), and honestly, the day-to-day is going to revolve around AI Ethics and Data Preprocessing. We're not looking for someone who just ticks boxes - we want someone who actually cares about ai ethics & governance.
On paper, we'd expect B.Tech (CS/AI) and somewhere around 1 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 2.8-17.4 LPA - fair for the junior level band and open to discussion based on what you bring.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. High performers in this role typically move into a broader ownership scope within 18-24 months.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. 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.
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Compensation includes standard statutory benefits along with performance-linked variable pay.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Internal job postings are open to employees who've completed a minimum tenure in their current role.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
The package is structured with a fixed component, performance bonus, and standard health coverage. Interested candidates should be prepared to walk through relevant past work during the interview process.
The next logical step from this position is a senior or lead-track role within the same function. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.