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Data Augmentation Jobs (NOW HIRING)

Senior Data Scientist Lead - R01566194

Santa Ana, CA · On-site

$70 - $93.75/hr

Improve model accuracy through data augmentation, active learning, and continuous feedback loops. AI Engineering & Deployment Work closely with engineering teams to deploy models using MLOps best ...

Develop and implement data augmentation techniques to improve training data quality. * Ensure data is free from bias and aligned with ethical AI standards. * Optimize model architecture to improve ...

Software Engineer - Human Motion Data

Austin, TX · On-site

$113K - $136K/yr

Leverage game engines (Unreal Engine or Unity) and physics simulators to build simulated environments for procedural motion generation and data augmentation. * Generate high-volume, high-quality ...

Design and implement generative modeling solutions for data augmentation * Develop and deploy machine learning pipelines * Develop and implement innovative solutions for data-related challenges ...

Design and implement generative modeling solutions for data augmentation * Research and develop graph-aware large language models * Develop and deploy AutoML pipelines * Apply Reinforcement Learning ...

Design and implement generative modeling solutions for data augmentation * Research and develop graph-aware large language models * Develop and deploy AutoML pipelines * Apply Reinforcement Learning ...

Design and implement generative modeling solutions for data augmentation * Develop and deploy machine learning pipelines * Collaborate with cross-functional teams to design and optimize ML systems ...

Design and implement generative modeling solutions for data augmentation * Develop and deploy machine learning pipelines * Collaborate with cross-functional teams to design and optimize ML systems ...

Design and implement generative modeling solutions for data augmentation * Develop and deploy machine learning pipelines * Collaborate with cross-functional teams to design and optimize ML systems ...

Design and implement generative modeling solutions for data augmentation * Develop and deploy machine learning pipelines * Develop and implement innovative solutions for data-related challenges ...

Design and implement generative modeling solutions for data augmentation * Research and develop graph-aware large language models * Develop and deploy AutoML pipelines * Apply Reinforcement Learning ...

Senior Data Scientist Lead - R01566194

Santa Ana, CA · On-site

$70 - $93.75/hr

... augmentation, active learning, and continuous feedback loops. AI Engineering & Deployment • Work closely with engineering teams to deploy models using MLOps best practices . • Design CI/CD ...

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Data Augmentation information

See salary details

$44.5K

$129.7K

$177.5K

How much do data augmentation jobs pay per year?

As of Jun 25, 2026, the average yearly pay for data augmentation in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is the difference between Data Augmentation vs Data Analyst?

AspectData AugmentationData Analyst
Required CredentialsTypically no formal degree, but knowledge of data processing toolsBachelor's degree in statistics, data science, or related field
Work EnvironmentPrimarily in data science, machine learning, or AI teamsBusiness, finance, healthcare, or other industry sectors
Employer & Industry UsageTech companies, AI startups, research institutionsCorporations, consulting firms, government agencies
Common Search & Comparison IntentUnderstanding data preparation techniques for AI modelsAnalyzing data to generate insights and reports

Data augmentation focuses on increasing data diversity for machine learning models, often requiring programming skills. Data analysts interpret and analyze data to support business decisions. While both roles work with data, their goals, skills, and environments differ significantly.

Is ML a high paying job?

Machine Learning (ML) roles, including data augmentation specialists, are generally well-paid due to the high demand for AI skills and specialized knowledge in areas like programming, statistics, and data analysis. Salaries vary based on experience, location, and industry, but many ML positions offer competitive compensation compared to other tech roles.

Which 3 jobs will survive AI?

Data augmentation specialists will continue to be in demand as AI models require high-quality training data. Jobs that involve complex problem-solving, creativity, and emotional intelligence, such as data scientists, AI ethicists, and user experience designers, are also likely to persist. These roles often require specialized skills and adaptability that AI cannot easily replicate.

Which 5 jobs will survive AI?

Data augmentation roles involve creating and improving datasets for machine learning, and they are likely to persist as AI systems require high-quality training data. Jobs in AI model training, data labeling, quality assurance, AI ethics, and domain-specific data specialists are expected to remain in demand due to the ongoing need for human oversight and expertise. Skills in data management, programming, and understanding AI workflows will support job security in these areas.

What does data augmentation do?

Data augmentation in a data augmentation job involves increasing the size and diversity of training datasets by applying transformations such as rotation, scaling, or noise addition to existing data. This process helps improve machine learning model performance and robustness, especially in fields like computer vision and natural language processing. Familiarity with data manipulation tools and programming languages like Python is often required.

Senior Data Scientist Lead - R01566194

Brillio

Santa Ana, CA • On-site

$70 - $93.75/hr

Other

Posted 16 days ago


Job description

About Brillio:

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.
Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work certification year after year.

Senior Data Scientist
Job requirements

Job Title: Senior Data Science Lead

Location: Santa Ana, CA, USA

Work Type: 2 days onsite per week

Experience: 10-15+ years (with strong AI leadership background)

Role Overview

A highly experienced Senior Data Science Lead to drive advanced AI initiatives with a strong focus on Computer Vision (CV) and Optical Character Recognition (OCR). This role will provide technical leadership, architecture direction, and hands-on expertise in designing, developing, and deploying scalable AI solutions for enterprise-grade use cases.

This is a highly client-facing role, requiring a strong blend of technical depth, consultative mindset, and leadership capability. The ideal candidate will combine deep technical expertise with strong stakeholder management and team leadership capabilities.

Key Responsibilities

Technical Leadership

Lead the design, development, and deployment of end-to-end AI/ML solutions, with primary focus on Computer Vision and OCR use cases.

Architect scalable and production-ready AI systems, ensuring performance, accuracy, security, and maintainability.

Drive adoption of state-of-the-art AI techniques including deep learning, transformers, multimodal models, and document intelligence.

Review and guide model selection, feature engineering, training strategies, and evaluation metrics.

Computer Vision & OCR Expertise

Lead CV initiatives such as image classification, object detection, segmentation, face/text recognition, and video analytics.

Design and optimize OCR pipelines for structured and unstructured documents (invoices, forms, IDs, contracts, handwritten text).

Implement and enhance document understanding workflows including layout analysis, key-value extraction, and semantic interpretation.

Improve model accuracy through data augmentation, active learning, and continuous feedback loops.

AI Engineering & Deployment

Work closely with engineering teams to deploy models using MLOps best practices.

Design CI/CD pipelines for ML, model monitoring, drift detection, and automated retraining.

Ensure AI solutions are cloud-native and scalable (AWS / Azure / GCP).

Stakeholder & Delivery Management

Partner with business stakeholders to translate business problems into AI-driven solutions.

Provide technical thought leadership during client discussions, solutioning, and proposals.

Own delivery outcomes, timelines, and quality for AI programs.

People & Practice Leadership

Mentor and guide data scientists, ML engineers, and analysts.

Establish best practices, coding standards, and governance for AI development.

Contribute to building AI capability, accelerators, and reusable frameworks within the organization.

Education

Bachelor's or master's degree in computer science, Data Science, Artificial Intelligence.

Experience

10-15+ years of experience in Data Science / AI, with at least 5+ years in a leadership role.

Proven, hands-on experience delivering Computer Vision and OCR solutions at scale.

Strong experience working in enterprise or consulting environments.

Soft Skills & Leadership Traits

Strategic thinker with strong problem-solving skills.

Ability to balance hands-on technical work with leadership responsibilities.

Excellent communication, influencing, and stakeholder management skills.

Strong mentoring mindset and passion for building high-performing teams.

Know more about DAE: https://www.brillio.com/services-data-analytics/

Know what it's like to work and grow at Brillio: https://www.brillio.com/join-us/

 

Equal Employment Opportunity Declaration

Brillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation.

#LI-SR1

$150 - $160 a year
 
Know what it's like to work and grow at Brillio: Click here
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