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Tajinder Samra

@tajindersamra

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AI specialist with 7+ years training ML models, managing data workflows, and coordinating AI projects.

United States

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What I'm looking for

I seek a collaborative, innovation-focused role where I can lead AI model training, improve data workflows, and grow technical leadership in applied ML.

I am an AI professional with over seven years of hands-on experience training machine learning models, managing data annotation and validation, and improving workflows across NLP and computer vision projects.

I have worked remotely with organizations such as Outlier, Handshake, and Remotask, contributing to model fine-tuning, QA processes, deployment support, and operational improvements that increased efficiency and data quality.

I am adaptable, collaborative, and passionate about AI innovation, with practical skills in Python and basic SQL, strong problem-solving ability, and a commitment to continuous learning and delivering reliable AI solutions.

Experience

Work history, roles, and key accomplishments

Current

AI Project Contributor

Current

Remotask

Jul 2021 - Present (4 years 6 months)

Annotated and curated datasets and performed QA checks to maintain high data integrity; assisted in developing AI tools and refining workflows to improve efficiency across projects. Contributed to ongoing model training pipelines.

Data Annotation Quality Assurance Workflow Optimization Model Training Python Project Coordination Analytical Thinking

AI Operations Associate

Handshake

Jan 2019 - Jun 2021 (2 years 5 months)

Managed AI workflows, monitored performance, and reported metrics to support deployments; implemented process improvements that enhanced operational efficiency and data quality. Ensured data quality standards were met for production models.

AI Operations Monitoring Metrics Data Quality Process Improvement Deployment Workflow Management SQL

AI Specialist / Generalist

OutlierAI

Jan 2017 - Dec 2018 (1 year 11 months)

Trained and fine-tuned ML models across NLP and computer vision use cases, improving model accuracy through data pre-processing, annotation, and validation. Collaborated with cross-functional teams to implement AI-driven solutions.

Model Training Data Annotation Validation NLP Computer Vision Cross Functional Collaboration