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Hi, I’m Sneha Katakam. I’m a data annotator with 5+ years of experience labeling large datasets for machine learning, with a focus on precision in rectangular labeling and box labeling. I’ve collaborated closely with data scientists and engineering teams to deliver high-quality annotations that improve model training efficiency. I enjoy designing and testing prompts, applying linguistic and acoustic analysis to speech data, and providing actionable feedback to enhance AI systems. I thrive in remote, fast-paced environments and am always eager to learn new tools while documenting processes and maintaining quality standards.…Hi, I’m Sneha Katakam. I’m a data annotator with 5+ years of experience labeling large datasets for machine learning, with a focus on precision in rectangular labeling and box labeling. I’ve collaborated closely with data scientists and engineering teams to deliver high-quality annotations that improve model training efficiency. I enjoy designing and testing prompts, applying linguistic and acoustic analysis to speech data, and providing actionable feedback to enhance AI systems. I thrive in remote, fast-paced environments and am always eager to learn new tools while documenting processes and maintaining quality standards.

Sneha Katakam

Data Annotator, AI Engineer, Data Scientist, +3

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Hi, I’m Sneha Katakam. I’m a data annotator with 5+ years of experience labeling large datasets for machine learning, with a focus on precision in rectangular labeling and box labeling. I’ve collaborated closely with data scientists and engineering teams to deliver high-quality annotations that improve model training efficiency. I enjoy designing and testing prompts, applying linguistic and acoustic analysis to speech data, and providing actionable feedback to enhance AI systems. I thrive in remote, fast-paced environments and am always eager to learn new tools while documenting processes and maintaining quality standards.…Hi, I’m Sneha Katakam. I’m a data annotator with 5+ years of experience labeling large datasets for machine learning, with a focus on precision in rectangular labeling and box labeling. I’ve collaborated closely with data scientists and engineering teams to deliver high-quality annotations that improve model training efficiency. I enjoy designing and testing prompts, applying linguistic and acoustic analysis to speech data, and providing actionable feedback to enhance AI systems. I thrive in remote, fast-paced environments and am always eager to learn new tools while documenting processes and maintaining quality standards.

Available to hire

Hi, I’m Sneha Katakam. I’m a data annotator with 5+ years of experience labeling large datasets for machine learning, with a focus on precision in rectangular labeling and box labeling. I’ve collaborated closely with data scientists and engineering teams to deliver high-quality annotations that improve model training efficiency. I enjoy designing and testing prompts, applying linguistic and acoustic analysis to speech data, and providing actionable feedback to enhance AI systems. I thrive in remote, fast-paced environments and am always eager to learn new tools while documenting processes and maintaining quality standards.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

Technical Research Associate at Keywords Studios/Amazon

March 1, 2025 - Present

Working collaboratively in a fast-paced remote environment, executing different use cases for data collection supporting AI engines. Conduct data analysis comparing AI performance to user data, provide feedback to improve AI, create and execute prompts, learn new software, and provide supporting documentation when AI fails. Describe tool interactions with websites and offer chain-of-thought reasoning during runs. Design, test, and refine prompts to improve AI interactions aligning with business logic and user expectations. Collaborate with HR, operations, and engineering teams to understand workforce planning needs. Conduct multi-level quality checks to ensure consistency and alignment with project standards.

Data Annotation Specialist at Data Force

March 1, 2025 - September 3, 2025

Provided high-quality, fully human-generated annotations for short speech recordings including labelling and creatively describing speech characteristics such as audio quality, voice traits, speaking style, and delivery. Ensured accuracy and consistency in annotations to enhance speech recognition and analysis models. Applied linguistic and acoustic analysis to assess vocal attributes including tone, pitch, articulation, and emotional expression. Managed large datasets with diverse speech samples, maintaining precision under tight deadlines.

Quality Analyst / Data Annotation Specialist at GlobalLogic / Google

December 1, 2022 - September 3, 2025

Annotated and labeled datasets for NLP processes including handwritten and printed text detection. Managed deadlines and quality audit tasks, conducted training and calibration sessions to improve label quality. Performed various analysis types related to insurance claims and traffic light detection. Maintained 99% quality factor and handled video, audio, image labeling with tools such as Labelbox, CVAT, Scale AI, and Appen. Provided feature requests and suggestions for tool policy improvements. Collaborated with IT teams for account setups and worked closely with stakeholders to align requirements. Gained basic NLP knowledge and experience on SCALE.AI. Supported robotics intelligence for human senses identification and video entity evaluation. Evaluated vehicle damages maintaining high quality and production standards.

Technical Research Associate at Keywords Studios / Amazon (Remote)

March 1, 2025 - Present

Collaborated in a fast-paced environment to support AI engineering by collecting use-case data, analyzing AI performance against user data, and providing actionable feedback to improve AI. Created and executed prompts, documented tool interactions, and explained chain-of-thought reasoning during tool use. Aligned prompts with business logic, user expectations, and language best practices; coordinated with HR, operations, and engineering to address workforce planning needs; conducted multi-level quality checks to ensure consistency in feedback on AI prompts and maintain high standards for documentation when AI fails.

Data Annotation Specialist at Data Force

December 1, 2024 - March 1, 2025

Provided high-quality, fully human-generated annotations for short speech recordings. Labeled and described speech characteristics (audio quality, voice traits, speaking style, and delivery). Ensured accuracy and consistency to enhance speech recognition models; applied linguistic and acoustic analysis to assess tone, pitch, articulation, and emotional expression; managed large datasets with tight deadlines; used diverse labeling tools to improve dataset richness and model performance.

Quality Analyst / Data Annotation Specialist at GlobalLogic / Google

September 1, 2016 - December 1, 2022

Annotated and labeled NLP datasets (handwritten and printed text). Conducted trainings, refreshers, and calibration sessions to improve label quality. Performed various analyses (pipeline, replication, skip, blank submit) and interpreted data sources for operational or domain-specific needs. Worked in insurance domain; provided feedback on claims; trained on traffic-light detection and object/scene annotations; maintained 99% quality and high throughput. Used tools including CVAT, Labelbox, Appen Crowdd Compute, Scale AI, OneForma, AGI Autonomy; led team allocations; conducted calibration with engineering teams; contributed to robotics-related labeling and vehicle-behavior annotations; applied NLP basics for sentiment analysis; leveraged Microsoft Office for documentation; supported RCA-based quality improvements and calibration with meta-labelers.