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I am an AI/ML professional specializing in LLM training, multimodal dataset creation, annotation QA, and autonomous-driving datasets. I work with CVAT, Labelbox, and Label Studio to build high-quality data and optimize annotation workflows, while evaluating LLM outputs for safety and factuality. I have led large teams of annotators across distributed programs, achieving high SLA adherence and reducing rework. My hands-on experience covers autonomous-driving annotations, multimodal content generation, and applying HITL techniques to strengthen model alignment and reliability.…I am an AI/ML professional specializing in LLM training, multimodal dataset creation, annotation QA, and autonomous-driving datasets. I work with CVAT, Labelbox, and Label Studio to build high-quality data and optimize annotation workflows, while evaluating LLM outputs for safety and factuality. I have led large teams of annotators across distributed programs, achieving high SLA adherence and reducing rework. My hands-on experience covers autonomous-driving annotations, multimodal content generation, and applying HITL techniques to strengthen model alignment and reliability.

Modassir Alam

AI Prompt Engineer, Data Annotator, Data Visualizer, +1

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I am an AI/ML professional specializing in LLM training, multimodal dataset creation, annotation QA, and autonomous-driving datasets. I work with CVAT, Labelbox, and Label Studio to build high-quality data and optimize annotation workflows, while evaluating LLM outputs for safety and factuality. I have led large teams of annotators across distributed programs, achieving high SLA adherence and reducing rework. My hands-on experience covers autonomous-driving annotations, multimodal content generation, and applying HITL techniques to strengthen model alignment and reliability.…I am an AI/ML professional specializing in LLM training, multimodal dataset creation, annotation QA, and autonomous-driving datasets. I work with CVAT, Labelbox, and Label Studio to build high-quality data and optimize annotation workflows, while evaluating LLM outputs for safety and factuality. I have led large teams of annotators across distributed programs, achieving high SLA adherence and reducing rework. My hands-on experience covers autonomous-driving annotations, multimodal content generation, and applying HITL techniques to strengthen model alignment and reliability.

Available to hire

I am an AI/ML professional specializing in LLM training, multimodal dataset creation, annotation QA, and autonomous-driving datasets. I work with CVAT, Labelbox, and Label Studio to build high-quality data and optimize annotation workflows, while evaluating LLM outputs for safety and factuality.

I have led large teams of annotators across distributed programs, achieving high SLA adherence and reducing rework. My hands-on experience covers autonomous-driving annotations, multimodal content generation, and applying HITL techniques to strengthen model alignment and reliability.

Skills

Experience Level

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

OPS SME at Innodata

January 1, 2024 - Present

Led 100+ annotators across large-scale AI data programs; designed workflows, managed timesheets and KPIs; maintained 99%+ SLA adherence across distributed teams. Developed high-fidelity captions, prompts, and multi-turn conversational datasets; performed QA audits and taxonomy refinement to improve accuracy and scalability. Experienced with autonomous driving annotations (vehicles, lanes, signals, pedestrians) and multimodal data pipelines.

AI Trainer at Outlier

January 1, 2023 - January 1, 2024

Evaluated model outputs to improve conversational accuracy; conducted search evaluation including query–intent mapping and relevance scoring. Annotated text data for intent classification, sentiment analysis, and short-form content; applied consistency checks to ensure high-quality, reliable training datasets.