Hurix
Team Lead AI Annotation Process
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
Chennai, Tamil Nadu, India
Work mode:
Onsite
Published on:
2 September 2026
What they need
Job Title: Team Lead AI Annotation Process
Experience: 2-5 Years
Location: Kilpauk, Chennai
Work Mode: Work from Office - 5/6 days as per business requirement
Shift: Flexibility to work across different shifts ((9:00 AM - 6:00 PM & 9:00 PM - 6:00 AM - As and when required)
Employment Type: Permanent
Department: AI Content
About the Role:
The Team Lead AI Annotation Process oversees the day-to-day operations of the AI annotation team, ensuring high productivity, quality, and seamless process execution.
This role requires managing a large team, evaluating processes, and acting as a bridge between the team, leadership, and the Client.
Key Responsibilities:
- Operational Management: Handle day-to-day operations, performance management, and MIS reporting.
- Process Training & Onboarding: Conduct process training, specifically focusing on onboarding the team to new processes.
- SOP & RFP Evaluation: Regularly review SOP guidelines and RFPs to evaluate the current skill levels of the team.
- Proposal Creation: Draft and provide proposal documents to leadership for strategic decision-making.
- End-to-End Process Management: Maintain comprehensive oversight of processes from start to finish with a keen eye for detail.
- Gap Analysis: Identify and highlight key challenges and process gaps to leaders and stakeholders during both onboarding and ongoing productivity.
Required Skills:
- Experience: Minimum of 3 to 4 years of relevant experience in the data annotation field.
- Team Management: Proven ability to manage and lead a large team of 50 to 60 members.
- Shift & Week Off Flexibility: Flexibility to work in rotational shifts and adjusted week-offs as per project and business requirements.
- Autonomy: Highly self-motivated with the ability to perform independently with minimal to no guidance from supervisors.
- Education: Open to any educational background.
- Annotation Domain Knowledge: Clear, comprehensive understanding of various annotation processes and tools in the market, with expertise in specific tools considered a strong advantage.
- Workflow & Tool Innovation: Familiarity with creating auto-annotation workflows, basic AI agent usage, and vendor management experience.
Disclaimer: You must take the necessary steps to safeguard the integrity, security, and confidentiality of shared confidential information.
How to Apply:
Interested candidates are encouraged to send their resume and a cover letter detailing their relevant experience and accomplishments to [email protected]
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