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Junior Ai Machine Learning Python Jobs in New Orleans, LA

TSMG

AI/ML Data Contributor

New Orleans, LA

In this role, you will participate in tasks that help improve machine learning models, including ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

TSMG

AI/ML Data Contributor

New Orleans, LA

In this role, you will participate in tasks that help improve machine learning models, including ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

TSMG

AI/ML Data Contributor

New Orleans, LA

In this role, you will participate in tasks that help improve machine learning models, including ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

TSMG

AI/ML Data Contributor

New Orleans, LA · Remote

In this role, you will participate in tasks that help improve machine learning models, including ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

Deloitte

Lead AI and Data Science Engineer II

New Orleans, LA · On-site

$98K - $129K/yr

Mentor junior and mid-level data scientists across the analytics lifecycle, from problem framing ... Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns ...

Pwc

AI & GenAI Data Scientist-Director

New Orleans, LA · On-site

$155K - $410K/yr

... and machine learning libraries - Utilizing Python and C++ for complex data analysis and modeling - Leading AI-driven automation projects with strategic mindset and innovation - Promoting ...

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Junior Ai Machine Learning Python information

See New Orleans, LA salary details

$44.7K

$90.8K

$136.4K

How much do junior ai machine learning python jobs pay per year?

As of Aug 9, 2026, the average yearly pay for junior ai machine learning python in New Orleans, LA is $90,795.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,100.00 and $91,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a junior AI machine learning Python engineer, and why are they important?

To thrive as a Junior AI Machine Learning Python Engineer, you need a solid understanding of Python programming, statistics, and foundational machine learning concepts, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, Scikit-learn, Jupyter Notebooks, and version control systems such as Git is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork skills help individuals excel in collaborative and fast-evolving technical environments. These competencies are crucial for developing robust AI solutions, learning from senior colleagues, and adapting to the rapidly changing landscape of machine learning.

What does a junior AI machine learning Python engineer do?

A Junior AI Machine Learning Python engineer assists in developing, testing, and maintaining machine learning models using Python. They typically work with data preparation, preprocessing, and applying basic algorithms to solve real-world problems. Under the guidance of senior engineers, they help implement solutions, evaluate model performance, and may contribute to the deployment of models into production environments. Their role often includes learning best practices in coding, software development, and collaborating with data scientists and engineers.

What are some typical projects or tasks a junior AI machine learning Python developer might work on in their first year?

As a Junior AI/Machine Learning Python developer, you can expect to work on tasks such as cleaning and preparing datasets, developing and testing simple machine learning models, and assisting in the implementation of algorithms under the supervision of senior team members. You may also help automate data pipelines, write scripts for data extraction, and contribute to model evaluation and reporting. Collaboration with data scientists, software engineers, and product managers is common, providing valuable learning opportunities and exposure to the full machine learning workflow.

What is the difference between Junior Ai Machine Learning Python vs Data Analyst?

AspectJunior Ai Machine Learning PythonData Analyst
Required SkillsPython, Machine Learning, AI concepts, data preprocessingExcel, SQL, data visualization, basic statistical analysis
CertificationsPython certifications, AI/ML coursesData analysis or visualization certifications
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing departments
Industry UsageDeveloping AI models, machine learning pipelinesInterpreting data, generating reports, supporting decision-making

Junior Ai Machine Learning Python roles focus on developing AI models using Python and machine learning techniques, often in tech-driven environments. Data Analysts primarily interpret data, create visualizations, and support business decisions. While both roles require analytical skills, AI/ML roles demand programming and AI-specific knowledge, whereas Data Analysts focus on data interpretation and reporting.

What are popular job titles related to Junior Ai Machine Learning Python jobs in New Orleans, LA? For Junior Ai Machine Learning Python jobs in New Orleans, LA, the most frequently searched job titles are:
What job categories do people searching Junior Ai Machine Learning Python jobs in New Orleans, LA look for? The top searched job categories for Junior Ai Machine Learning Python jobs in New Orleans, LA are:
What cities near New Orleans, LA are hiring for Junior Ai Machine Learning Python jobs? Cities near New Orleans, LA with the most Junior Ai Machine Learning Python job openings:
Junior Ai Machine Learning Python jobs near you

AI/ML Data Contributor

TSMG

New Orleans, LA

Part-time

Re-posted 14 days ago

Job description

Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.

Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.

Responsibilities
  • Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
  • Participate in remote assignments or attend on-site sessions when required
  • Follow project guidelines and ensure high-quality task completion
  • Provide feedback and input during testing activities
  • Complete tasks within given timelines
Requirements
  • Must be based in the United States
  • Strong attention to detail and ability to follow instructions
  • Basic computer skills and familiarity with digital tools
  • Reliable internet connection and access to a computer or smartphone
  • Availability to participate in task-based work (schedule may vary)
Nice to Have
  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies
What We Offer
  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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