Dibya N

Key Skills

Software

Other

Telus

Toloka

Remotasks

Top Subject Matter

Biology Domain Expertise

Anatomy Domain Expertise

Physiology Domain Expertise

Top Data Types

Text

Document

Top Task Types

Classification

Freelancer Overview

AI Data Labeler (Innodata). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other, Telus, and Toloka. Education includes Master of Science, Sambalpur University (2021) and Bachelor of Science, Kendrapara Autonomous College (2019). AI-training focus includes data types such as Text and labeling workflows including Classification.

Labeling Experience

AI Content Analyst/Data Labeler (Soul AI)

OtherTextClassification

Worked as an analyst at Soul AI, checking and proofreading content produced by AI in the biology, anatomy, and physiology domain. Reviewed labeled data for accuracy and made corrections as needed for training datasets. Ensured content met client and project quality standards for AI data labeling.• Proofread AI-generated biology content for correctness.• Labeled and validated biology, anatomy, and physiology data.• Collaborated with content and data annotation teams.• Focused on meeting quality benchmarks for training data.

Worked as an analyst at Soul AI, checking and proofreading content produced by AI in the biology, anatomy, and physiology domain. Reviewed labeled data for accuracy and made corrections as needed for training datasets. Ensured content met client and project quality standards for AI data labeling.• Proofread AI-generated biology content for correctness.• Labeled and validated biology, anatomy, and physiology data.• Collaborated with content and data annotation teams.• Focused on meeting quality benchmarks for training data.

2023 - 2024

AI Data Labeler (Remotasks)

RemotasksTextClassification

Engaged in simulated AI data labeling projects at Remotasks to replicate real-world annotation of biology responses. Labeled and categorized over 100+ biology-related texts for AI training. Applied detailed annotation methods to maximize accuracy in the dataset.• Simulated annotation workflows on biology data.• Reviewed and labeled large volumes of textual responses.• Supported improvement of AI classification in biology.• Ensured annotation documentation was maintained.

Engaged in simulated AI data labeling projects at Remotasks to replicate real-world annotation of biology responses. Labeled and categorized over 100+ biology-related texts for AI training. Applied detailed annotation methods to maximize accuracy in the dataset.• Simulated annotation workflows on biology data.• Reviewed and labeled large volumes of textual responses.• Supported improvement of AI classification in biology.• Ensured annotation documentation was maintained.

2022

AI Data Annotator (Invisible Technologies)

OtherTextClassification

Carried out data labeling and annotation of biology data for AI training at Invisible Technologies. Maintained strict standards for accuracy and concept validation. Delivered consistently labeled data to aid in AI model reliability.• Labeled biology-related content to aid AI training.• Focused on data annotation quality and consistency.• Regularly validated concepts and label accuracy.• Collaborated for continual quality improvement.

Carried out data labeling and annotation of biology data for AI training at Invisible Technologies. Maintained strict standards for accuracy and concept validation. Delivered consistently labeled data to aid in AI model reliability.• Labeled biology-related content to aid AI training.• Focused on data annotation quality and consistency.• Regularly validated concepts and label accuracy.• Collaborated for continual quality improvement.

2022

AI Data Annotator (Toloka)

TolokaTextClassification

Engaged in labeling and annotation of biology data for AI system optimization at Toloka. Maintained accuracy and consistency in line with project requirements. Executed concept validation and classification for high-quality training data.• Focused on detailed data annotation for biology use-cases.• Improved AI performance through accurate labeling.• Emphasized validation and label consistency.• Supported documentation for QA processes.

Engaged in labeling and annotation of biology data for AI system optimization at Toloka. Maintained accuracy and consistency in line with project requirements. Executed concept validation and classification for high-quality training data.• Focused on detailed data annotation for biology use-cases.• Improved AI performance through accurate labeling.• Emphasized validation and label consistency.• Supported documentation for QA processes.

2022

Biology Data Annotator (Telus AI)

TelusTextClassification

Labeled and annotated biology data for AI systems at Telus AI with an emphasis on concept validation. Ensured high accuracy and consistency in data labeling to support AI model development. Followed strict guidelines to classify various types of biology responses.• Hands-on annotation of biology-related textual data.• Adhered to rigorous accuracy and validation standards.• Classified responses to support AI biology models.• Regularly communicated with team for quality assurance.

Labeled and annotated biology data for AI systems at Telus AI with an emphasis on concept validation. Ensured high accuracy and consistency in data labeling to support AI model development. Followed strict guidelines to classify various types of biology responses.• Hands-on annotation of biology-related textual data.• Adhered to rigorous accuracy and validation standards.• Classified responses to support AI biology models.• Regularly communicated with team for quality assurance.

2022

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Education

Work History