Biz Tech Analytics
Data Annotation Team Lead - LiDar Annotation
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Delhi, India
Work mode:
Onsite
Published on:
12 September 2026
What they need
About Biz-Tech Analytics
At Biz-Tech Analytics, we partner with global enterprises, AI labs, and industrial businesses to help them build frontier LLMs and apply AI at scale. From data to deployment, we deliver specialised services including human-in-the-loop annotation, RLHF, and custom dataset creation. With a network of 500+ vetted developers, STEM professionals, linguists, and medical experts, weve supported leading global platforms by enhancing complex AI models and providing precision feedback at scale.
About the role
We are hiring a Data Annotation Team Lead to manage both regular and specialised annotation projects. The role requires hands-on experience with annotation tools, strong leadership skills, and a sharp eye for quality assurance. You will oversee a team of annotators, set standards for accuracy, and ensure timely project delivery.
Responsibilities
Lead, mentor, and manage a team of data annotators on image, video, text, and specialised projects
Conduct regular quality checks to maintain high annotation accuracy
Train team members on tools, processes, and specialised annotation tasks
Collaborate with project managers to plan and deliver on client requirements
Identify process improvements to increase efficiency and consistency
Handle escalations and ensure deadlines are met without compromising quality
Qualifications
25 years of experience in data annotation (image, video, text, audio, or specialised domains like coding, medical, etc.)
Prior experience in leading or managing teams
Strong understanding of annotation tools
Proven track record of maintaining quality standards and conducting QC checks
Excellent communication and organisational skills
Ability to work from our Delhi office (in-person role)
Exposure in LiDAR Data Annotation
Good to Have
Experience in specialised annotation domains (coding, medical, etc.)
Exposure to AI/ML workflows and data pipelinesRole & responsibilities
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