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Data Augmentation Jobs (NOW HIRING)

AI Architect

Houston, TX ยท On-site

$90/hr

... data augmentation. โ€ข Strong programming skills in languages such as Python, R, or Scala. โ€ข Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). โ€ข ...

Structured Data Senior Lead

Dallas, TX

$66.50 - $89/hr

Drive data augmentation and enrichment initiatives, including: * Attribute expansion and optimization * Product clustering and categorization strategies * Integration of margin, inventory, or ...

Structured Data Senior Lead

Dallas, TX ยท On-site

$66.50 - $89/hr

Drive data augmentation and enrichment initiatives, including: * Attribute expansion and optimization * Product clustering and categorization strategies * Integration of margin, inventory, or ...

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 * 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 * 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 ...

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Showing results 1-20

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.
Sr. Developer

Contractor

Posted 4 days ago


Job description

Advanced knowledge in machine learning, computer science, math, statistics or a related discipline Extensive data modeling and machine learning architecture skills Programming experience in Python, R or Java Background in machine learning Frameworks such as: TensorFlow or Keras Knowledge of Hadoop or another distributed computing systems Experience working in an Agile environment Advanced math skills linear algebra, Bayesian statistics group theory Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability Exploring and visualizing data to gain an understanding of it then identifying differences in data distribution that could affect performance when deploying the model in the real world Verifying data quality and/or ensuring it via data cleaning, Supervising the data acquisition process if more data is needed, Finding available datasets online that could be used for training Defining validation strategies, Defining the preprocessing or feature engineering to be done on a given dataset Defining data augmentation pipelines, Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production Strong written and verbal communications
Hours : 8:00am to 5:00pm
Education :
Additional Job Details : Primary skil: Azure Machine Learning/Python/R