Training Lead/Manager

DesiCrew Solutions Private Limited; Coimbatore District; Hybrid; INR 700,000 - 1,100,000; Full time

Job summary

A leading technology firm is looking for a Training Lead / Manager for LiDAR and Computer Vision. You will be responsible for the training strategy, execution, and capability building for annotation programs. This role involves defining training frameworks, overseeing training governance, and mentoring a team of trainers. The ideal candidate has 6–8 years of experience, particularly in CV or LiDAR data annotation training, and must possess strong knowledge of relevant workflows and tools. This position offers a hybrid work model based in Tamil Nadu, India.

Qualifications

• 6–8 years of experience, with 2–4 years in CV/LiDAR data annotation training.
• Strong hands-on knowledge of training frameworks.
• Ability to design corrective and refresher training.

Responsibilities

• Own the training strategy and execution for LiDAR and Computer Vision programs.
• Define training frameworks and role-based learning paths.
• Establish training governance and certification criteria.
• Translate client guidelines into training content and SOPs.
• Create training decks, videos, and tool walkthroughs.
• Build and maintain KPI dashboards for training effectiveness.

Skills

LiDAR annotation workflows

2D/3D CV annotation standards

Curriculum design for technical audiences

Analytical mindset

HITL

Tools

CVAT

Proprietary annotation tools

Dataset versioning

Job description

Senior Director – AI Program Delivery & Transition | Open Networkerساعد | Global AI Consultant & Mentor

Job Title

Training Lead / Training Manager – LiDAR & Computer Vision (HIT fría Operational)

Location

India (Hybrid / Onsite as per project need)

Experience

6–8 years (minimum 2–4 years in CV / LiDAR data annotation training)

Employment Type

Full-time

Role Overview

The Training Lead / Manager(cookie) will own the end-to-end training strategy, execution, and continuous capability building for LiDAR and Computer Vision annotation programs. This role is critical to ensuring annotation accuracy, productivity stability, and rapid ramp‑up across projects involving 2D/3D vision data. You will work closely with CV SMEs, QA, Operations, Tooling teams, and Clients to translate model requirements and annotation guidelines into scalable, measurable training programs.

Key Responsibilities

• Define training frameworks for:
• Design role‑based learning paths for:
• Quality Analysts
• Establish training governance, certification criteria, and re‑certification cycles.
• Deep understanding of autonomous driving datasets (roads, lanes, vehicles, pedestrians, traffic assets)
• Train teams on:
• Translate client guidelines, SOPs, and taxonomy updates into training content.
• Create and maintain training decks, videos, tool walkthroughs
• Build error libraries and “what‑good‑looks‑like” references.
• tl;dr create on‑the‑job training (OJT) phases to stabilize support rapid ramup and pilot launches.
• Partner with QA teams to analyze quality defects and root causes.
• Design corrective & refresher training.
• Own training‑linked KPIs: time‑to‑productivity, post‑training quality uplift.
• Enable HITL best practices for complex edge cases.
• Act as training SPOC for internal stakeholders and clients.
• Guideline walkthroughs; quality audits and readiness reviews.
• Support presales by contributing to training approach sections in RFPs, capability demonstrations and POCs.
• Build and mentor a team of trainers.
• Establish community of practice for CV & LiDAR expertise.
• Drive continuous learning via internal knowledge‑sharing sessions.

Technical / Domain

• Strong hands‑on knowledge of LiDAR annotation workflows.
• 2D/3D CV annotation standards.
• Familiarity with CVAT, proprietary annotation tools.
• Dataset versioning and quality metrics.
• Understanding of ML lifecycle and model feedback loops.
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Training & Instructional Design

• Curriculum design for technical audiences.
• Adult learning principles.
• Assessment design and certification frameworks.

Operational & Leadership

• Analytical mindset for quality & productivity trends.
• Ability to scale training across large delivery teams.

KPIs & Success Metrics

• Time‑to‑productivity for new hires.
• Quality uplift post‑training (Precision, Recall, IoU).
• Reduction in critical annotation errors.
• SME and trainer readiness scores.

Preferred Qualifications

• Experience in autonomous drivingิเศษ smart cities or mapping projects.
• Exposure to HITL‑based delivery models.